Does maggy auto-invoke its skills?

Not yet. It is indexed on Flowy as a plain plugin. Request auto-invocation on its page and Flowy will route its skills for you as you prompt.

Yes. Flowy is free and open source, with nothing gated. You can read every skill in full before you install.

Development

Plugin

maggy

Turn Claude Code into a self-reviewing, test-enforced engineering system that remembers context across sessions — then route work across 13 models from a single dashboard.

FLOW.md

alinaqi@alinaqi

GitHub

Plugin Signal83/100Strong

maintained86

capable96

documented75

adopted61

Install

$ npx -y skills add alinaqi/claude-bootstrap --agent claude-code

Run the curl in your terminal, the rest in Claude Code.

Stats

Python TypeScript JavaScript Node React

+7 tags

Bash Docker Git GitHub Anthropic Gemini MCP

706

Stars

Forks

Active

Maintenance

Python

Language

MIT

License

26d ago

Last commit

7mo ago

Created

Repo: alinaqi/claude-bootstrap

In this plugin

68 skills 25 commands 7 agents 1 hook

See everything inside

What's inside

Skills

/aeo-optimizationAI Engine Optimization - semantic triples, page templates, content clusters for AI citations /agent-teamsClaude Code Agent Teams - default team-based development with strict TDD pipeline enforcement /agentic-developmentBuild AI agents with Pydantic AI (Python) and Claude SDK (Node.js)/ai-modelsLatest AI models reference - Claude, OpenAI, Gemini, Eleven Labs, Replicate /android-javaAndroid Java development with MVVM, ViewBinding, and Espresso testing /android-kotlinAndroid Kotlin development with Coroutines, Jetpack Compose, Hilt, and MockK testing

Show all 68 skills

/autonomous-testingAn AI-driven testing agent that auto-discovers, generates, executes, evaluates, and fixes tests for any project type. Inspired by the edubites autonomous test runner pattern, generalized for Claude Bootstrap + Maggy./aws-auroraAWS Aurora Serverless v2, RDS Proxy, Data API, connection pooling /aws-dynamodbAWS DynamoDB single-table design, GSI patterns, SDK v3 TypeScript/Python /azure-cosmosdbAzure Cosmos DB partition keys, consistency levels, change feed, SDK patterns /baseUniversal coding patterns, constraints, TDD workflow, atomic todos /build-in-publicBuild in public isn't marketing. It's letting people watch you work. The best posts feel like you're narrating your thought process to a friend who's also a senior engineer. No hype sludge. No "I'm excited to announce." Just: here's what I built, here's why it matters, here's /cloudflare-d1Cloudflare D1 SQLite database with Workers, Drizzle ORM, migrations /code-deduplicationPrevent semantic code duplication with capability index and check-before-write /code-graphAST-based code graph for fast symbol lookup, dependency analysis, and blast radius via codebase-memory-mcp MCP server /code-reviewMandatory code reviews via /code-review before commits and deploys /codex-reviewOpenAI Codex CLI code review with GPT-5.2-Codex, CI/CD integration /commit-hygieneAtomic commits, PR size limits, commit thresholds, stacked PRs /council-reviewMulti-model validation council — auto-validate plans, architecture changes, and PRs via validate-plan/review before executing /cpg-analysisDeep code property graph analysis with Joern CPG (AST+CFG+PDG) and CodeQL for control flow, data flow, taint analysis, and security auditing /credentialsCentralized API key management from Access.txt /cross-agent-delegationCross-agent task routing — Codex auto-review, Kimi delegation by complexity score (iCPG + Claude reasoning), iCPG + Mnemos mandatory for all agents /database-schemaSchema awareness - read before coding, type generation, prevent column errors /existing-repoAnalyze existing repositories, maintain structure, setup guardrails and best practices /external-model-delegationA `UserPromptSubmit` hook classifies every user prompt into one of six cost/performance tiers. The hook injects `additionalContext` instructing Claude to run a specific delegation script and return the output./firebaseFirebase Firestore, Auth, Storage, real-time listeners, security rules /flutterFlutter development with Riverpod state management, Freezed, go_router, and mocktail testing /gemini-reviewGoogle Gemini CLI code review with Gemini 2.5 Pro, 1M token context, CI/CD integration /icpgIntent-Augmented Code Property Graph — tracks WHY code exists via ReasonNodes with formal contracts, 6-dimension drift detection, and 3 canonical pre-task queries for autonomous development /iterative-developmentTDD iteration loops using Claude Code Stop hooks - runs tests after each response, feeds failures back automatically /klaviyoKlaviyo email/SMS marketing - profiles, events, flows, segmentation /llm-patternsAI-first application patterns, LLM testing, prompt management /maggyMaggy is a local AI engineering command center. AI-prioritized inbox across issue trackers (GitHub Issues/Asana), one-click TDD execute with iCPG context enrichment, daily competitor intelligence briefing./medusaMedusa headless commerce - modules, workflows, API routes, admin UI /mnemosTask-scoped memory lifecycle — typed MnemoGraph prevents lossy context compaction by treating facts/decisions/code-refs/handoffs as distinct node types with per-type eviction policies /model-routingEvery user prompt goes through a 9-tier classification pipeline before any AI model processes it. The system answers three questions:/ms-teams-appsMicrosoft Teams bots and AI agents - Claude/OpenAI, Adaptive Cards, Graph API /nodejs-backendNode.js backend patterns with Express/Fastify, repositories /playwright-testingE2E testing with Playwright - Page Objects, cross-browser, CI/CD /polyphonyMulti-agent orchestration with container-isolated workspaces — each agent session runs in its own Docker container with independent git branches /posthog-analyticsPostHog analytics, event tracking, feature flags, dashboards /project-toolinggh, vercel, supabase, render CLI and deployment platform setup /pwa-developmentProgressive Web Apps - service workers, caching strategies, offline, Workbox /pythonPython development with ruff, mypy, pytest - TDD and type safety /react-nativeReact Native mobile patterns, platform-specific code /react-webReact web development with hooks, React Query, Zustand /reddit-adsReddit Ads API - campaigns, targeting, conversions, agentic optimization /reddit-apiReddit API with PRAW (Python) and Snoowrap (Node.js)/securityOWASP security patterns, secrets management, security testing /session-managementContext preservation, tiered summarization, resumability /shopify-appsShopify app development - Remix, Admin API, checkout extensions /site-architectureTechnical SEO - robots.txt, sitemap, meta tags, Core Web Vitals /supabase-nextjsNext.js with Supabase and Drizzle ORM /supabase-nodeExpress/Hono with Supabase and Drizzle ORM /supabase-pythonFastAPI with Supabase and SQLAlchemy/SQLModel /supabaseCore Supabase CLI, migrations, RLS, Edge Functions /team-coordinationMulti-person projects - shared state, todo claiming, handoffs /ticket-craftCreate Jira/Asana/Linear tickets optimized for Claude Code execution - AI-native ticket writing /typescriptTypeScript strict mode with eslint and jest /ui-mobileMobile UI patterns - React Native, iOS/Android, touch targets /ui-testingVisual testing - catch invisible buttons, broken layouts, contrast /ui-webWeb UI - glassmorphism, Tailwind, dark mode, accessibility /user-journeysUser experience flows - journey mapping, UX validation, error recovery /visual-validationEvery UI change should be visually verified before it ships. Peekaboo captures pixel-accurate screenshots. The system compares before/after and flags visual regressions. No manual "looks good to me" — the machine verifies what the machine built./web-contentSEO and AI discovery (GEO) - schema, ChatGPT/Perplexity optimization /web-paymentsStripe Checkout, subscriptions, webhooks, customer portal /woocommerceWooCommerce REST API - products, orders, customers, webhooks /workspaceDynamic multi-repo and monorepo awareness for Claude Code. Analyze workspace topology, track API contracts, and maintain cross-repo context.

Agents

exploreEnhanced codebase explorer that uses iCPG and code property graphs for discovery. Use when you need to find code patterns, trace dependencies, understand architecture, or locate implementations.code-reviewPerforms code reviews on completed features - checks security, performance, architecture, code quality. Blocks on Critical/High.featureImplements one feature end-to-end following the strict TDD pipeline - spec, tests, implementation, validation.mergerCreates feature branches and PRs for completed features via gh CLI. Never merges - only creates PRs.qualityEnforces TDD discipline - verifies specs are complete, tests fail before implementation, tests pass after implementation, coverage >= 80%securityPerforms security analysis on completed features - OWASP scanning, secrets detection, dependency audit. Blocks on Critical/High.

Show all 7 agents

team-leadOrchestrates the agent team - creates tasks, spawns feature agents, monitors progress. Never writes code.

Commands

/analyze-repoAnalyze an existing repository's structure, conventions, and guardrails./analyze-workspaceFull dynamic analysis of workspace topology, dependencies, and contracts./build-in-publicBuild-in-Public — generate posts from your engineering work, anonymize, and schedule via Buffer /check-contributorsChecks who's working on the project and optionally converts to a multi-person project with team state management./icpg-bootstrapInfer ReasonNodes from existing git commit history. One-time setup for existing codebases./icpg-driftRun a full drift scan and display all unresolved drift events, grouped by dimension and sorted by severity.

Show all 25 commands

/icpg-impactShow the blast radius of a ReasonNode or symbol — what depends on it, what breaks if it changes./icpg-intentManually create or update an iCPG intent (ReasonNode) for a file before implementing./icpg-whyTrace any symbol back to its creating ReasonNode — show the original goal, who wrote it, and whether it's still doing what it was made for./initialize-projectFull project setup with Claude coding guardrails. Works for both new and existing projects./maggy-initInteractive wizard that configures Maggy for the user's org, issue tracker, and codebases. Writes `~/.maggy/config.yaml` and ensures deps are installed./maggyStart Maggy (the AI engineering command center) and open the dashboard in a browser./mnemos-checkpointWrite a checkpoint capturing current session state for later resume./mnemos-statusShow current Mnemos fatigue level, active node counts, and checkpoint status./model-configView or change the **primary model** that handles your coding work across srooter (the gateway), the route-task hooks, and Maggy. One setting, read everywhere. Stored in `~/.claude/model-config.json`./polyphony-initInitialize the Polyphony multi-agent orchestration environment./polyphony-spawnCreate a new task in the Polyphony orchestrator and route it to an agent./polyphony-statusDisplay the current state of all Polyphony tasks and running containers./route-evalAnalyze the current project's structure **and** your past routing history, then recommend a per-project routing profile — e.g. a small, low-risk project can send everything through one cheap model (like `glm-5.2`), while security-sensitive files always escalate to Claude./set-trackerSet the issue tracker for the current project./spawn-teamSpawn the default agent team for this project. Creates a coordinated team of agents that implement features in parallel following the strict TDD pipeline./sync-agentsSync project configuration between Claude Code, Kimi CLI, and Codex CLI./sync-contractsLightweight incremental update of workspace contracts without full re-analysis./update-code-indexRegenerates `CODE_INDEX.md` by scanning the codebase for all functions, classes, hooks, and components. Organizes by capability to prevent semantic duplication./usage-summaryToggle per-response usage summary.

Hooks

mnemos-session-start.shHook script.

README

Read on GitHub

Claude Bootstrap + Maggy

Turn Claude Code into a self-reviewing, test-enforced engineering system that remembers context across sessions — then route work across 13 models from a single dashboard.

Claude Bootstrap is an installable config pack (skills, hooks, rules, templates) for Claude Code. Maggy is the optional local server that adds multi-model routing, a web dashboard, intent-driven protocols, and plugin orchestration. Both live in this repo. Start with Bootstrap; add Maggy when you need the harness.

1100+ tests. 67 skills. 15 MCP tools. Used daily across production codebases.

Who This Is For

Solo engineers using Claude Code who want TDD enforcement, quality gates, and memory that survives context compaction — without changing their workflow
Teams routing work across Claude, DeepSeek, Kimi, Gemini, and Codex from a single dashboard with cost-aware model selection
Platform engineers building AI-assisted developer tooling who need a reference implementation with intent tracking, protocol execution, and plugin architecture

Choose Your Path

	Claude Bootstrap	Maggy Harness
What it is	Skills, hooks, rules installed into `~/.claude/`	Local FastAPI server + web dashboard
Install time	~30 seconds	~5 minutes (Python 3.11+, API keys)
Requires	Claude Code (also works with Codex, Kimi, Gemini CLI)	Everything in Bootstrap + Python + optional Docker
You get	TDD enforcement, 67 skills, quality gates, ADR reviews, iCPG, Mnemos memory	All of Bootstrap + 13-tier routing, skill protocols, Telos testing, Cortex MCP, plugins, dashboard

Bootstrap — 30-second install

git clone https://github.com/alinaqi/maggy.git
cd maggy && ./install.sh

Your next Claude Code session picks it up automatically.

Full Harness — zero-config

pipx install maggy-harness   # or: pip install maggy-harness
maggy bootstrap              # installs skills, hooks, ~/bin model wrappers, plugins
maggy serve                  # auto-configures from your local repos,
                             # then opens the dashboard at localhost:8080

(or from source: cd maggy && ./install.sh && maggy serve)

No API keys required to start — Maggy runs in local mode and, on first launch, discovers your local git repos and opens the dashboard pointed at them. Add GITHUB_TOKEN / ANTHROPIC_API_KEY later only if you want GitHub sync or API-model features. See GETTING_STARTED.md for details.

What It Looks Like in Practice

Routing a task:

You: "review the auth middleware for timing attacks"
→ Blast score: 8/10 (security + architecture)
→ Routed to: Claude (Tier 11)
→ ADR gate: found docs/adr/0003-jwt-strategy.md → injected as context
→ Review runs with full architectural context

Skill Protocol execution:

You: "push to git"
→ Intent matched: git-push protocol
→ ✅ lint       (2.1s)
→ ✅ typecheck   (4.3s)
→ ✅ tests       (11.2s)
→ ✅ stage
→ ✅ commit      [AI-generated: "fix: resolve token refresh race condition"]
→ ✅ push

Fatigue-aware memory:

Session fatigue: 0.61 (PRE-SLEEP)
→ Mnemos: auto-checkpoint written
→ Micro-consolidation: 3 ResultNodes compressed
→ iCPG context injected: 2 ReasonNodes, 1 constraint
→ Context freed: ~18k tokens

The Problem This Solves

You're using Claude Code. It's impressive — but:

It picks the most expensive model for everything, including trivial tasks
Context fills up, state is lost, you re-explain yourself every session
There's no enforcement: code quality, test coverage, and ADR compliance only happen if you remember to ask
Running multiple agents on the same repo causes file conflicts
You have no visibility into what Claude is actually doing inside your codebase

What Bootstrap Gives You

Layer	What it does
67 skills	Python, TypeScript, React, React Native, Flutter, Supabase, Firebase, Stripe, Playwright, security, ADRs, cross-agent delegation
TDD enforcement	Stop hooks — tests must pass before Claude considers a task done
Quality gates	Max 20 lines/function, 3 params, 2 nesting levels. Enforced per file
iCPG	Intent-Augmented Code Property Graph. Stores why code exists. 6-dimension drift detection. Prevents duplicate implementations
Mnemos	Task-scoped memory with 4-dimension fatigue model. Survives context compaction with typed checkpoints
ADR enforcement	Non-trivial changes require an Architectural Decision Record. Missing one? Reverse-engineered from git history
Agent teams	6 agents: Lead, Quality, Security, Review, Merger, Feature

What Maggy Adds

System	What it does
13-Tier Routing	Semantic blast score (1–10) routes to cheapest capable model. Local Qwen3 classifier → DeepSeek (~80% of tasks) → Kimi → Gemini → Grok → Codex → Claude. Budget-capped with auto-demotion. Routing details
Skill Protocols	YAML-defined workflows in `maggy/skills/protocols/`. "Push to git" → lint → test → stage → commit → push. Drop a `.yaml` to add your own
Telos	Testing beyond TDD. Three planes: Conformance × Validation × Integrity. A zero in any plane collapses the total score. Details
Cortex MCP	Code intelligence: 10 edge types, cyclomatic complexity, FTS5 search, bidirectional traversal. 15 tools, single SQLite DB. Benchmarks
Polyphony	Docker-isolated parallel agent execution. Second session auto-provisions a workspace. Spec
Engram	Cross-session memory. 7 amnesia types. Persists architectural knowledge across weeks
Council PR Review	Multi-model council reviews a GitHub PR from the dashboard — deterministic mega-PR chunking, a static gate (tsc/ruff) as ground truth, and an adversarial refute pass that kills false positives. Extensible per-language skills (Python/TS/Go/Rust/Java/C#/Ruby/PHP + drop-in more). `pip install maggy-harness[review]`
Plugins	Drop-in system. Ships with: Build-in-Public (auto-posts to LinkedIn/X), Telos, GitHub/Asana/Monday providers

Model Routing

Every message is scored 1–10 for complexity and classified by task type. The cheapest capable model wins.

Tier	Model	Role
T0	Qwen3 (local)	Classification, triage, free bulk ops
T1	Gemini Flash-Lite	Bulk extraction, CIG pipelines
T2	DeepSeek Flash	Docs, tests, scaffolding
T3	Gemini Flash	Multimodal, vision, audio
T4	DeepSeek Pro	Complex coding, multi-file refactors
T5	Gemini CLI	Multi-file agentic coding
T6	AGY	End-to-end implementation (git + code + test)
T7	Kimi	Long-context analysis, routing alt
T8	Gemini Pro Search	Deep research, Google grounding, 2M context
T9	Grok	Competitor intel, deep reasoning
T10	Codex	Bulk generation, security-sensitive tasks
T11	Claude Sonnet	Quality-critical code, complex debugging
T12	Claude Opus	Architecture, security review, ADR decisions

Routing is semantic (Qwen3 as local classifier), fatigue-aware, budget-capped, and cascading.

Gateway routing with srooter — www.srooter.ai

We've added first-class support for srooter, an Anthropic/OpenAI-compatible LLM gateway that routes your requests across models (Claude, MiniMax, DeepSeek, Kimi, Gemini, Grok, local Qwen) transparently — intent-based routing, budget caps, fallbacks, and a usage dashboard, without changing your tools.

Recommended with Maggy, Claude Code, or Codex. Point any of them at the gateway and your traffic is routed for you — no per-tool config:

# Claude Code (or Codex) → srooter
export ANTHROPIC_BASE_URL="https://www.srooter.ai/anthropic"   # or your local gateway
export ANTHROPIC_API_KEY="<your-srooter-key>"
claude        # now routed through srooter

Pick the model you "follow" once with /model-config — Maggy, the route-task hooks, and srooter all honor the same choice. Trivial asks stay on the cheap/local tier; real coding goes to your primary model (e.g. MiniMax-M2.5).

Parallel Development (Polyphony)

Run several agents at once — each in its own Docker/OrbStack container with a full git clone on its own branch, so concurrent work never collides on files or branches.

Auto-isolation — a second Claude Code session in the same project automatically provisions its own workspace (via the polyphony-auto-isolate hook). No setup.
/spawn-team — spawns a coordinated TDD agent team; container-isolated by default when Docker + the polyphony CLI are present, with a graceful fallback to native parallel agents.

polyphony init                 # one-time: create ~/.polyphony/ config
polyphony spawn "add auth"     # create + route a task to an agent
polyphony status               # running agents / task states
polyphony cleanup              # remove completed workspaces

From Claude Code: /polyphony-init, /polyphony-spawn, /polyphony-status. Requires Docker or OrbStack. Full design: Polyphony spec.

Telos: Testing Beyond TDD

Standard TDD tells you if your code passes tests. Telos tells you if your code fulfills its intent.

IFS (Intent Fidelity Scale) = F1 × F2 × F3

F1 — Conformance:  passed / total tests            (pytest / vitest)
F2 — Validation:   drift severity                  (Cortex drift_events)
F3 — Integrity:    IF-3 orphan symbols              (no reason edges)
                   IF-4 empty contracts             (no pre/post/invariants)
                   IF-6 stale reasons               (proposed >7d, never fulfilled)
                   IF-7 scope sprawl                (reason scopes >10 files)

A zero in any plane collapses IFS to zero. 100% test pass rate with severe architectural drift = score of 0. This is intentional. See the Telos RFC.

Repo Structure

.claude/
  skills/       # 67 skills — Python, TS, React, security, mobile, databases
  hooks/        # TDD enforcement, quality gates, Mnemos lifecycle
  rules/        # Conditional rules by file glob
  templates/    # settings.json, CLAUDE.md, ADR template, PR template

maggy/
  maggy/
    pipeline/   # Unified ChatPipeline orchestrator
    skills/     # Skill injection + YAML protocol engine
    api/        # REST API (chat, routing, plugins, pipeline logs)
    static/     # Web dashboard (vanilla JS, no build step)
    services/   # Routing, memory, execution, Mnemos

cortex-mcp/     # Code intelligence MCP server
  src/cortex/
    structure/  # AST extraction, edge types, complexity
    storage/    # SQLite graph store, FTS5 index

plugins/        # Drop-in plugins (build-in-public, telos, providers)

Tests

cd maggy && python3 -m pytest tests/ -x -q        # 900+ tests
cd cortex-mcp && python3 -m pytest tests/ -q       # 207 tests

What's New in v6.37

Skill Protocols — YAML intent-driven workflows. "Push to git" runs lint → test → commit → push automatically
Unified Pipeline — single ChatPipeline orchestrator with real-time streaming, fallback, per-request logging
Telos — intent-grounded testing with IFS scoring on every project open
Cortex MCP — modular edge extraction (Python AST, TypeScript, Git co-change). Elixir support
13-Tier Routing — AGY, Gemini CLI, and Grok added to the routing ladder

See CHANGELOG.md for full history.

Docs


Getting Started	Installation, prerequisites, first session walkthrough
Architecture v5	System design, routing, dashboard
CLI Reference	REPL commands, slash commands, routing
Telos RFC	Intent-grounded testing spec
Cortex docs	Code intelligence, edge types, MCP tools
Cortex benchmarks	Performance vs codebase-memory-mcp
Changelog	Version history (current: v6.37.0)

Contributing

Skill PRs welcome. All skills run through the linter before merge:

PYTHONPATH=scripts python3 -m skill_lint --fail-on error skills/your-skill/

See CONTRIBUTING.md for the quality gate checklist.

License

MIT — See LICENSE

Need help scaling AI engineering in your org? LeanAI Ventures — Claude Code & MCP specialists

File tree

1048

alinaqi/claude-bootstrapView on GitHub

_project_specs/
  00-autonomous-engineering-roadmap.md
  01-runtime-observability.md
  02-rollback-and-recovery.md
  03-verifiable-contracts.md
  04-multi-agent-coordination.md
  05-confidence-calibration.md
  06-cost-budget-awareness.md
  07-human-escalation-protocol.md
  08-auto-code-index.md
  09-multimodal-ingestion.md
  phases/
    phase-01-pi-adapter.md
    phase-02-model-routing.md
    phase-03-mnemos-multimodel.md
    phase-04-cikg-extract.md
    phase-05-maggy-v2-ui.md
    phase-06-dual-model-planning.md
    phase-07-vercel-containers.md
    phase-08-process-intelligence.md
    phase-09-mcp-forge.md
    phase-10-integration-testing.md
    phase-11-maggy-mesh.md
    phase-12-engram.md
    phase-13-lexon.md
    phase-14-event-spine.md
.github/
  workflows/
    publish.yml
    skill-lint.yml
    skill-review.yml
.gitignore
agents/
  explore.md
bin/
  build-in-public-status
  deepseek
  gemini-api
  gemini-cli
  glm
  grok
  groq
  kimi
  maggy-usage
  ollama-coder
  qwen3
  reddit-auth-setup
  research
  review
  together
  validate-plan
CHANGELOG.md
CLAUDE.md
commands/
  analyze-repo.md
  analyze-workspace.md
  build-in-public.md
  check-contributors.md
  icpg-bootstrap.md
  icpg-drift.md
  icpg-impact.md
  icpg-intent.md
  icpg-why.md
  initialize-project.md
  maggy-init.md
  maggy.md
  mnemos-checkpoint.md
  mnemos-status.md
  model-config.md
  polyphony-init.md
  polyphony-spawn.md
  polyphony-status.md
  route-eval.md
  set-tracker.md
  spawn-team.md
  sync-agents.md
  sync-contracts.md
  update-code-index.md
  usage-summary.md
comparision.md
CONTRIBUTING.md
cortex-mcp/
  .coverage
  docs/
    cortex-vs-codebase-memory.md
    images/
      cortex-benchmark-1.png
      cortex-benchmark-2.png
      cortex-benchmark-3.png
      cortex-benchmark-4.png
  pyproject.toml
  src/
    cortex/
      __init__.py
      __main__.py
      config.py
      intent/
        __init__.py
      memory/
        __init__.py
      server.py
      storage/
        __init__.py
        db.py
        graph.py
        schema.py
      structure/
        __init__.py
        complexity.py
        edge_extractor.py
        fallback_parser.py
        git_edges.py
        indexer.py
        models.py
        python_edges.py
        snippets.py
        ts_edges.py
      tools/
        __init__.py
        intent_impl.py
        intent_tools.py
        memory_impl.py
        memory_tools.py
        structure_tools.py
        unified_tools.py
  tests/
    conftest.py
    test_benchmark/
      __init__.py
      test_parity.py
    test_intent/
      __init__.py
    test_memory/
      __init__.py
    test_storage/
      __init__.py
      test_db.py
      test_graph.py
    test_structure/
      __init__.py
      test_edge_extractor.py
      test_fallback_parser.py
      test_indexer.py
    test_tools/
      __init__.py
      test_cross_layer.py
      test_intent_memory.py
docs/
  architecture-v5.md
  benchmark-results.md
  claude-bootstrap-reference.md
  maggy-rfc.md
  mnemos-implementation.md
  mwp.md
  polyphony-spec.md
evals/
  agent-teams/
    scenario-1/
      criteria.json
      task.md
  base/
    scenario-1/
      criteria.json
      task.md
    scenario-2/
      criteria.json
      task.md
  code-review/
    scenario-1/
      criteria.json
      task.md
  commit-hygiene/
    scenario-1/
      criteria.json
      task.md
  credentials/
    scenario-1/
      criteria.json
      task.md
  database-schema/
    scenario-1/
      criteria.json
      task.md
  existing-repo/
    scenario-1/
      criteria.json
      task.md
  llm-patterns/
    scenario-1/
      criteria.json
      task.md
  project-tooling/
    scenario-1/
      criteria.json
      task.md
  python/
    scenario-1/
      criteria.json
      task.md
  react-web/
    scenario-1/
      criteria.json
      task.md
  README.md
  run-evals.sh
  security/
    scenario-1/
      criteria.json
      task.md
    scenario-2/
      criteria.json
      task.md
  session-management/
    scenario-1/
      criteria.json
      task.md
  supabase/
    scenario-1/
      criteria.json
      task.md
  typescript/
    scenario-1/
      criteria.json
      task.md
GETTING_STARTED.md
hooks/
  auto-review-hook
  icpg-inject-context
  icpg-record-intent
  mid-task-escalation
  mnemos-session-start.sh
  plugin-trigger
  polyphony-auto-isolate
  post-commit-graph
  pre-push
  route-task-hook
  usage-summary-hook
  workspace/
    check-contract-freshness.sh
    check-graph-freshness.sh
    post-commit-contracts.sh
    pre-push-contracts.sh
install.sh
LICENSE
maggy/
  _project_specs/
    todos/
      architecture-hardening.md
  .github/
    workflows/
      integration.yml
  .gitignore
  CHANGELOG.md
  config.example.yaml
  docs/
    architecture-v5.md
    assets/
      parallel-chats.png
    benchmark-results.md
    maggy-reference.md
    maggy-rfc.md
    mnemos-implementation.md
    plan.md
    polyphony-spec.md
    sidebar-navigation-design.md
    visual-validation.md
  install.sh
  maggy/
    __init__.py
    adapters/
      __init__.py
      cli_discovery.py
      cli_manifests.py
      pi.py
    api/
      __init__.py
      auth.py
      routes_aggregator.py
      routes_approval.py
      routes_blueprints.py
      routes_budget.py
      routes_chat_sessions.py
      routes_chat.py
      routes_cikg.py
      routes_competitors.py
      routes_deploy.py
      routes_editor.py
      routes_engram.py
      routes_escalation.py
      routes_events.py
      routes_forge.py
      routes_heartbeat.py
      routes_history.py
      routes_icpg.py
      routes_improve.py
      routes_keys.py
      routes_lexon.py
      routes_mesh_admin.py
      routes_mesh.py
      routes_models.py
      routes_monitor.py
      routes_observability.py
      routes_orchestrator.py
      routes_pipeline.py
      routes_planning.py
      routes_plugins.py
      routes_pr_review.py
      routes_process.py
      routes_projects.py
      routes_provider_config.py
      routes_refresh.py
      routes_review.py
      routes_routing.py
      routes_setup.py
      routes_shell.py
      routes_skills.py
      routes_srooter.py
      routes_system.py
      routes_testing.py
      routes_usage.py
      routes_users.py
      routes.py
    blueprint_extract.py
    blueprint_store.py
    budget.py
    calibration/
      __init__.py
      tracker.py
    checkpoint.py
    cikg/
      __init__.py
      graph.py
      models.py
      queries.py
      storage.py
    cli_analytics.py
    cli_bg_task.py
    cli_blueprints.py
    cli_chat.py
    cli_client.py
    cli_context.py
    cli_output.py
    cli_repl_cmds.py
    cli_repl_info.py
    cli_rules.py
    cli_sessions.py
    cli_stream.py
    cli_welcome.py
    cli.py
    config.py
    contracts/
      __init__.py
      generator.py
    coordination/
      __init__.py
      lock_manager.py
    council/
      __init__.py
      audit_log.py
      blast_analyzer.py
      deliberation.py
      executor_gate.py
      models.py
    deploy.py
    discovery.py
    engram/
      __init__.py
      diagnostics.py
      record.py
      retrieval.py
      seed.py
      store.py
    escalation/
      __init__.py
      protocol.py
    event_spine/
      __init__.py
      emitter.py
      events.py
      header.py
      store.py
    fatigue.py
    forge/
      __init__.py
      connector.py
      detector.py
      registry.py
    heartbeat/
      __init__.py
      jobs_extra.py
      jobs.py
      scheduler.py
    history/
      __init__.py
      analyzer.py
      models.py
      parsers/
        __init__.py
        base.py
        claude.py
... 846 more

More Flows by @alinaqi.

VerifiedPlugin

Development

maggy

Turn Claude Code into a self-reviewing, test-enforced engineering system that remembers context across sessions — then route work across 13 models from a single dashboard.

68 skills

@alinaqi

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FAQ

maggy is a Claude Code plugin with 68 hand-picked skills for development work, indexed on Flowy. Install it with the command on its page. It includes aeo-optimization, agent-teams, agentic-development. Its skills do not fire on their own yet. Request auto-invocation to have Flowy route them as you prompt. Free and open source.

What is maggy?: Turn Claude Code into a self-reviewing, test-enforced engineering system that remembers context across sessions — then route work across 13 models from a single dashboard.
How do I install maggy?: Run these in Claude Code: npx -y skills add alinaqi/claude-bootstrap --agent claude-code. Then prompt normally.
Does maggy auto-invoke its skills?: Not yet. It is indexed on Flowy as a plain plugin. Request auto-invocation on its page and Flowy will route its skills for you as you prompt.
Is maggy free?: Yes. Flowy is free and open source, with nothing gated. You can read every skill in full before you install.

Development

Plugin

maggy

Turn Claude Code into a self-reviewing, test-enforced engineering system that remembers context across sessions — then route work across 13 models from a single dashboard.

FLOW.md

alinaqi@alinaqi

GitHub

Plugin Signal83/100Strong

maintained86

capable96

documented75

adopted61

Install

$ npx -y skills add alinaqi/claude-bootstrap --agent claude-code

Run the curl in your terminal, the rest in Claude Code.

Stats

Python TypeScript JavaScript Node React

+7 tags

Bash Docker Git GitHub Anthropic Gemini MCP

706

Stars

Forks

Active

Maintenance

Python

Language

MIT

License

26d ago

Last commit

7mo ago

Created

Repo: alinaqi/claude-bootstrap

In this plugin

68 skills 25 commands 7 agents 1 hook

See everything inside

What's inside

Skills

Show all 68 skills

Agents

Show all 7 agents

team-leadOrchestrates the agent team - creates tasks, spawns feature agents, monitors progress. Never writes code.

Commands

Show all 25 commands

Hooks

mnemos-session-start.shHook script.

README

Read on GitHub

Claude Bootstrap + Maggy

Turn Claude Code into a self-reviewing, test-enforced engineering system that remembers context across sessions — then route work across 13 models from a single dashboard.

1100+ tests. 67 skills. 15 MCP tools. Used daily across production codebases.

Who This Is For

Solo engineers using Claude Code who want TDD enforcement, quality gates, and memory that survives context compaction — without changing their workflow
Teams routing work across Claude, DeepSeek, Kimi, Gemini, and Codex from a single dashboard with cost-aware model selection
Platform engineers building AI-assisted developer tooling who need a reference implementation with intent tracking, protocol execution, and plugin architecture

Choose Your Path

	Claude Bootstrap	Maggy Harness
What it is	Skills, hooks, rules installed into `~/.claude/`	Local FastAPI server + web dashboard
Install time	~30 seconds	~5 minutes (Python 3.11+, API keys)
Requires	Claude Code (also works with Codex, Kimi, Gemini CLI)	Everything in Bootstrap + Python + optional Docker
You get	TDD enforcement, 67 skills, quality gates, ADR reviews, iCPG, Mnemos memory	All of Bootstrap + 13-tier routing, skill protocols, Telos testing, Cortex MCP, plugins, dashboard

Bootstrap — 30-second install

git clone https://github.com/alinaqi/maggy.git
cd maggy && ./install.sh

Your next Claude Code session picks it up automatically.

Full Harness — zero-config

pipx install maggy-harness   # or: pip install maggy-harness
maggy bootstrap              # installs skills, hooks, ~/bin model wrappers, plugins
maggy serve                  # auto-configures from your local repos,
                             # then opens the dashboard at localhost:8080

(or from source: cd maggy && ./install.sh && maggy serve)

What It Looks Like in Practice

Routing a task:

You: "review the auth middleware for timing attacks"
→ Blast score: 8/10 (security + architecture)
→ Routed to: Claude (Tier 11)
→ ADR gate: found docs/adr/0003-jwt-strategy.md → injected as context
→ Review runs with full architectural context

Skill Protocol execution:

You: "push to git"
→ Intent matched: git-push protocol
→ ✅ lint       (2.1s)
→ ✅ typecheck   (4.3s)
→ ✅ tests       (11.2s)
→ ✅ stage
→ ✅ commit      [AI-generated: "fix: resolve token refresh race condition"]
→ ✅ push

Fatigue-aware memory:

Session fatigue: 0.61 (PRE-SLEEP)
→ Mnemos: auto-checkpoint written
→ Micro-consolidation: 3 ResultNodes compressed
→ iCPG context injected: 2 ReasonNodes, 1 constraint
→ Context freed: ~18k tokens

The Problem This Solves

You're using Claude Code. It's impressive — but:

It picks the most expensive model for everything, including trivial tasks
Context fills up, state is lost, you re-explain yourself every session
There's no enforcement: code quality, test coverage, and ADR compliance only happen if you remember to ask
Running multiple agents on the same repo causes file conflicts
You have no visibility into what Claude is actually doing inside your codebase

What Bootstrap Gives You

Layer	What it does
67 skills	Python, TypeScript, React, React Native, Flutter, Supabase, Firebase, Stripe, Playwright, security, ADRs, cross-agent delegation
TDD enforcement	Stop hooks — tests must pass before Claude considers a task done
Quality gates	Max 20 lines/function, 3 params, 2 nesting levels. Enforced per file
iCPG	Intent-Augmented Code Property Graph. Stores why code exists. 6-dimension drift detection. Prevents duplicate implementations
Mnemos	Task-scoped memory with 4-dimension fatigue model. Survives context compaction with typed checkpoints
ADR enforcement	Non-trivial changes require an Architectural Decision Record. Missing one? Reverse-engineered from git history
Agent teams	6 agents: Lead, Quality, Security, Review, Merger, Feature

What Maggy Adds

System	What it does
13-Tier Routing	Semantic blast score (1–10) routes to cheapest capable model. Local Qwen3 classifier → DeepSeek (~80% of tasks) → Kimi → Gemini → Grok → Codex → Claude. Budget-capped with auto-demotion. Routing details
Skill Protocols	YAML-defined workflows in `maggy/skills/protocols/`. "Push to git" → lint → test → stage → commit → push. Drop a `.yaml` to add your own
Telos	Testing beyond TDD. Three planes: Conformance × Validation × Integrity. A zero in any plane collapses the total score. Details
Cortex MCP	Code intelligence: 10 edge types, cyclomatic complexity, FTS5 search, bidirectional traversal. 15 tools, single SQLite DB. Benchmarks
Polyphony	Docker-isolated parallel agent execution. Second session auto-provisions a workspace. Spec
Engram	Cross-session memory. 7 amnesia types. Persists architectural knowledge across weeks
Council PR Review	Multi-model council reviews a GitHub PR from the dashboard — deterministic mega-PR chunking, a static gate (tsc/ruff) as ground truth, and an adversarial refute pass that kills false positives. Extensible per-language skills (Python/TS/Go/Rust/Java/C#/Ruby/PHP + drop-in more). `pip install maggy-harness[review]`
Plugins	Drop-in system. Ships with: Build-in-Public (auto-posts to LinkedIn/X), Telos, GitHub/Asana/Monday providers

Model Routing

Every message is scored 1–10 for complexity and classified by task type. The cheapest capable model wins.

Tier	Model	Role
T0	Qwen3 (local)	Classification, triage, free bulk ops
T1	Gemini Flash-Lite	Bulk extraction, CIG pipelines
T2	DeepSeek Flash	Docs, tests, scaffolding
T3	Gemini Flash	Multimodal, vision, audio
T4	DeepSeek Pro	Complex coding, multi-file refactors
T5	Gemini CLI	Multi-file agentic coding
T6	AGY	End-to-end implementation (git + code + test)
T7	Kimi	Long-context analysis, routing alt
T8	Gemini Pro Search	Deep research, Google grounding, 2M context
T9	Grok	Competitor intel, deep reasoning
T10	Codex	Bulk generation, security-sensitive tasks
T11	Claude Sonnet	Quality-critical code, complex debugging
T12	Claude Opus	Architecture, security review, ADR decisions

Routing is semantic (Qwen3 as local classifier), fatigue-aware, budget-capped, and cascading.

Gateway routing with srooter — www.srooter.ai

Recommended with Maggy, Claude Code, or Codex. Point any of them at the gateway and your traffic is routed for you — no per-tool config:

# Claude Code (or Codex) → srooter
export ANTHROPIC_BASE_URL="https://www.srooter.ai/anthropic"   # or your local gateway
export ANTHROPIC_API_KEY="<your-srooter-key>"
claude        # now routed through srooter

Parallel Development (Polyphony)

Run several agents at once — each in its own Docker/OrbStack container with a full git clone on its own branch, so concurrent work never collides on files or branches.

Auto-isolation — a second Claude Code session in the same project automatically provisions its own workspace (via the polyphony-auto-isolate hook). No setup.
/spawn-team — spawns a coordinated TDD agent team; container-isolated by default when Docker + the polyphony CLI are present, with a graceful fallback to native parallel agents.

polyphony init                 # one-time: create ~/.polyphony/ config
polyphony spawn "add auth"     # create + route a task to an agent
polyphony status               # running agents / task states
polyphony cleanup              # remove completed workspaces

From Claude Code: /polyphony-init, /polyphony-spawn, /polyphony-status. Requires Docker or OrbStack. Full design: Polyphony spec.

Telos: Testing Beyond TDD

Standard TDD tells you if your code passes tests. Telos tells you if your code fulfills its intent.

IFS (Intent Fidelity Scale) = F1 × F2 × F3

F1 — Conformance:  passed / total tests            (pytest / vitest)
F2 — Validation:   drift severity                  (Cortex drift_events)
F3 — Integrity:    IF-3 orphan symbols              (no reason edges)
                   IF-4 empty contracts             (no pre/post/invariants)
                   IF-6 stale reasons               (proposed >7d, never fulfilled)
                   IF-7 scope sprawl                (reason scopes >10 files)

A zero in any plane collapses IFS to zero. 100% test pass rate with severe architectural drift = score of 0. This is intentional. See the Telos RFC.

Repo Structure

.claude/
  skills/       # 67 skills — Python, TS, React, security, mobile, databases
  hooks/        # TDD enforcement, quality gates, Mnemos lifecycle
  rules/        # Conditional rules by file glob
  templates/    # settings.json, CLAUDE.md, ADR template, PR template

maggy/
  maggy/
    pipeline/   # Unified ChatPipeline orchestrator
    skills/     # Skill injection + YAML protocol engine
    api/        # REST API (chat, routing, plugins, pipeline logs)
    static/     # Web dashboard (vanilla JS, no build step)
    services/   # Routing, memory, execution, Mnemos

cortex-mcp/     # Code intelligence MCP server
  src/cortex/
    structure/  # AST extraction, edge types, complexity
    storage/    # SQLite graph store, FTS5 index

plugins/        # Drop-in plugins (build-in-public, telos, providers)

Tests

cd maggy && python3 -m pytest tests/ -x -q        # 900+ tests
cd cortex-mcp && python3 -m pytest tests/ -q       # 207 tests

What's New in v6.37

Skill Protocols — YAML intent-driven workflows. "Push to git" runs lint → test → commit → push automatically
Unified Pipeline — single ChatPipeline orchestrator with real-time streaming, fallback, per-request logging
Telos — intent-grounded testing with IFS scoring on every project open
Cortex MCP — modular edge extraction (Python AST, TypeScript, Git co-change). Elixir support
13-Tier Routing — AGY, Gemini CLI, and Grok added to the routing ladder

See CHANGELOG.md for full history.

Docs


Getting Started	Installation, prerequisites, first session walkthrough
Architecture v5	System design, routing, dashboard
CLI Reference	REPL commands, slash commands, routing
Telos RFC	Intent-grounded testing spec
Cortex docs	Code intelligence, edge types, MCP tools
Cortex benchmarks	Performance vs codebase-memory-mcp
Changelog	Version history (current: v6.37.0)

Contributing

Skill PRs welcome. All skills run through the linter before merge:

PYTHONPATH=scripts python3 -m skill_lint --fail-on error skills/your-skill/

See CONTRIBUTING.md for the quality gate checklist.

License

MIT — See LICENSE

Need help scaling AI engineering in your org? LeanAI Ventures — Claude Code & MCP specialists

File tree

1048

alinaqi/claude-bootstrapView on GitHub

_project_specs/
  00-autonomous-engineering-roadmap.md
  01-runtime-observability.md
  02-rollback-and-recovery.md
  03-verifiable-contracts.md
  04-multi-agent-coordination.md
  05-confidence-calibration.md
  06-cost-budget-awareness.md
  07-human-escalation-protocol.md
  08-auto-code-index.md
  09-multimodal-ingestion.md
  phases/
    phase-01-pi-adapter.md
    phase-02-model-routing.md
    phase-03-mnemos-multimodel.md
    phase-04-cikg-extract.md
    phase-05-maggy-v2-ui.md
    phase-06-dual-model-planning.md
    phase-07-vercel-containers.md
    phase-08-process-intelligence.md
    phase-09-mcp-forge.md
    phase-10-integration-testing.md
    phase-11-maggy-mesh.md
    phase-12-engram.md
    phase-13-lexon.md
    phase-14-event-spine.md
.github/
  workflows/
    publish.yml
    skill-lint.yml
    skill-review.yml
.gitignore
agents/
  explore.md
bin/
  build-in-public-status
  deepseek
  gemini-api
  gemini-cli
  glm
  grok
  groq
  kimi
  maggy-usage
  ollama-coder
  qwen3
  reddit-auth-setup
  research
  review
  together
  validate-plan
CHANGELOG.md
CLAUDE.md
commands/
  analyze-repo.md
  analyze-workspace.md
  build-in-public.md
  check-contributors.md
  icpg-bootstrap.md
  icpg-drift.md
  icpg-impact.md
  icpg-intent.md
  icpg-why.md
  initialize-project.md
  maggy-init.md
  maggy.md
  mnemos-checkpoint.md
  mnemos-status.md
  model-config.md
  polyphony-init.md
  polyphony-spawn.md
  polyphony-status.md
  route-eval.md
  set-tracker.md
  spawn-team.md
  sync-agents.md
  sync-contracts.md
  update-code-index.md
  usage-summary.md
comparision.md
CONTRIBUTING.md
cortex-mcp/
  .coverage
  docs/
    cortex-vs-codebase-memory.md
    images/
      cortex-benchmark-1.png
      cortex-benchmark-2.png
      cortex-benchmark-3.png
      cortex-benchmark-4.png
  pyproject.toml
  src/
    cortex/
      __init__.py
      __main__.py
      config.py
      intent/
        __init__.py
      memory/
        __init__.py
      server.py
      storage/
        __init__.py
        db.py
        graph.py
        schema.py
      structure/
        __init__.py
        complexity.py
        edge_extractor.py
        fallback_parser.py
        git_edges.py
        indexer.py
        models.py
        python_edges.py
        snippets.py
        ts_edges.py
      tools/
        __init__.py
        intent_impl.py
        intent_tools.py
        memory_impl.py
        memory_tools.py
        structure_tools.py
        unified_tools.py
  tests/
    conftest.py
    test_benchmark/
      __init__.py
      test_parity.py
    test_intent/
      __init__.py
    test_memory/
      __init__.py
    test_storage/
      __init__.py
      test_db.py
      test_graph.py
    test_structure/
      __init__.py
      test_edge_extractor.py
      test_fallback_parser.py
      test_indexer.py
    test_tools/
      __init__.py
      test_cross_layer.py
      test_intent_memory.py
docs/
  architecture-v5.md
  benchmark-results.md
  claude-bootstrap-reference.md
  maggy-rfc.md
  mnemos-implementation.md
  mwp.md
  polyphony-spec.md
evals/
  agent-teams/
    scenario-1/
      criteria.json
      task.md
  base/
    scenario-1/
      criteria.json
      task.md
    scenario-2/
      criteria.json
      task.md
  code-review/
    scenario-1/
      criteria.json
      task.md
  commit-hygiene/
    scenario-1/
      criteria.json
      task.md
  credentials/
    scenario-1/
      criteria.json
      task.md
  database-schema/
    scenario-1/
      criteria.json
      task.md
  existing-repo/
    scenario-1/
      criteria.json
      task.md
  llm-patterns/
    scenario-1/
      criteria.json
      task.md
  project-tooling/
    scenario-1/
      criteria.json
      task.md
  python/
    scenario-1/
      criteria.json
      task.md
  react-web/
    scenario-1/
      criteria.json
      task.md
  README.md
  run-evals.sh
  security/
    scenario-1/
      criteria.json
      task.md
    scenario-2/
      criteria.json
      task.md
  session-management/
    scenario-1/
      criteria.json
      task.md
  supabase/
    scenario-1/
      criteria.json
      task.md
  typescript/
    scenario-1/
      criteria.json
      task.md
GETTING_STARTED.md
hooks/
  auto-review-hook
  icpg-inject-context
  icpg-record-intent
  mid-task-escalation
  mnemos-session-start.sh
  plugin-trigger
  polyphony-auto-isolate
  post-commit-graph
  pre-push
  route-task-hook
  usage-summary-hook
  workspace/
    check-contract-freshness.sh
    check-graph-freshness.sh
    post-commit-contracts.sh
    pre-push-contracts.sh
install.sh
LICENSE
maggy/
  _project_specs/
    todos/
      architecture-hardening.md
  .github/
    workflows/
      integration.yml
  .gitignore
  CHANGELOG.md
  config.example.yaml
  docs/
    architecture-v5.md
    assets/
      parallel-chats.png
    benchmark-results.md
    maggy-reference.md
    maggy-rfc.md
    mnemos-implementation.md
    plan.md
    polyphony-spec.md
    sidebar-navigation-design.md
    visual-validation.md
  install.sh
  maggy/
    __init__.py
    adapters/
      __init__.py
      cli_discovery.py
      cli_manifests.py
      pi.py
    api/
      __init__.py
      auth.py
      routes_aggregator.py
      routes_approval.py
      routes_blueprints.py
      routes_budget.py
      routes_chat_sessions.py
      routes_chat.py
      routes_cikg.py
      routes_competitors.py
      routes_deploy.py
      routes_editor.py
      routes_engram.py
      routes_escalation.py
      routes_events.py
      routes_forge.py
      routes_heartbeat.py
      routes_history.py
      routes_icpg.py
      routes_improve.py
      routes_keys.py
      routes_lexon.py
      routes_mesh_admin.py
      routes_mesh.py
      routes_models.py
      routes_monitor.py
      routes_observability.py
      routes_orchestrator.py
      routes_pipeline.py
      routes_planning.py
      routes_plugins.py
      routes_pr_review.py
      routes_process.py
      routes_projects.py
      routes_provider_config.py
      routes_refresh.py
      routes_review.py
      routes_routing.py
      routes_setup.py
      routes_shell.py
      routes_skills.py
      routes_srooter.py
      routes_system.py
      routes_testing.py
      routes_usage.py
      routes_users.py
      routes.py
    blueprint_extract.py
    blueprint_store.py
    budget.py
    calibration/
      __init__.py
      tracker.py
    checkpoint.py
    cikg/
      __init__.py
      graph.py
      models.py
      queries.py
      storage.py
    cli_analytics.py
    cli_bg_task.py
    cli_blueprints.py
    cli_chat.py
    cli_client.py
    cli_context.py
    cli_output.py
    cli_repl_cmds.py
    cli_repl_info.py
    cli_rules.py
    cli_sessions.py
    cli_stream.py
    cli_welcome.py
    cli.py
    config.py
    contracts/
      __init__.py
      generator.py
    coordination/
      __init__.py
      lock_manager.py
    council/
      __init__.py
      audit_log.py
      blast_analyzer.py
      deliberation.py
      executor_gate.py
      models.py
    deploy.py
    discovery.py
    engram/
      __init__.py
      diagnostics.py
      record.py
      retrieval.py
      seed.py
      store.py
    escalation/
      __init__.py
      protocol.py
    event_spine/
      __init__.py
      emitter.py
      events.py
      header.py
      store.py
    fatigue.py
    forge/
      __init__.py
      connector.py
      detector.py
      registry.py
    heartbeat/
      __init__.py
      jobs_extra.py
      jobs.py
      scheduler.py
    history/
      __init__.py
      analyzer.py
      models.py
      parsers/
        __init__.py
        base.py
        claude.py
... 846 more

More Flows by @alinaqi.

VerifiedPlugin

Development

maggy

Turn Claude Code into a self-reviewing, test-enforced engineering system that remembers context across sessions — then route work across 13 models from a single dashboard.

68 skills

@alinaqi

View Plugin

FAQ

What is maggy?: Turn Claude Code into a self-reviewing, test-enforced engineering system that remembers context across sessions — then route work across 13 models from a single dashboard.
How do I install maggy?: Run these in Claude Code: npx -y skills add alinaqi/claude-bootstrap --agent claude-code. Then prompt normally.
Does maggy auto-invoke its skills?: Not yet. It is indexed on Flowy as a plain plugin. Request auto-invocation on its page and Flowy will route its skills for you as you prompt.
Is maggy free?: Yes. Flowy is free and open source, with nothing gated. You can read every skill in full before you install.