Development
Plugin
ai-devkit
The control plane for AI coding agents. AI DevKit gives Claude Code, Codex CLI, Gemini CLI, opencode, Pi, Cursor, GitHub Copilot, Devin, and other coding agents one local-first operating layer: one config, one console, local memory retrieval, cross-agent
Plugin Signal80/100Strong
maintained100
capable67
documented75
adopted68
Install
$ npx -y skills add codeaholicguy/ai-devkit --agent claude-code
Run the curl in your terminal, the rest in Claude Code.
Stats
1,577
Stars
242
Forks
Active
Maintenance
TypeScript
Language
16h ago
Last commit
9mo ago
Created
Repo: codeaholicguy/ai-devkit
What's inside
Skills
24/agent-communicationAI DevKit ยท Exchange information with active Codex, Claude Code, and other AI agents using ai-devkit agent list, detail, and send. Use when an agent needs to find another active agent, read its recent context, send it information, or request information back./agent-managementAI DevKit ยท Manage running AI agents with ai-devkit agent commands. Use when an agent needs to identify itself, list agents, start workers, inspect agent detail, assign work, group agents, resume sessions, stop agents, or delegate work to other agents./agent-orchestrationAI DevKit ยท Supervise multi-agent workflows over repeated passes: poll progress, unblock waiting agents, coordinate dependencies, relay outputs, resolve conflicts, and verify completion. Use only for ongoing multi-agent coordination, not one-off list/detail/send/start/kill/brainstormAI DevKit ยท Use when the user asks to brainstorm, ideate, generate ideas, expand options, challenge ideas, pressure-test ideas, compare concepts, narrow choices, name something, plan content angles, explore strategy, evaluate product ideas, technical approaches, experiments, or/changelogAI DevKit ยท Update CHANGELOG.md Unreleased items from git commits since the latest release. Use when users ask to update changelog/release notes from recent commits, with one concise line per commit and commit/PR links./dev-commitAI DevKit ยท Safe git commit workflow for AI coding agents. Use when the user asks to commit, prepare a commit, stage changes, create a PR-ready checkpoint, or finish work with a conventional commit while avoiding unrelated user changes.
Show all 24 skillsShow fewer
/dev-designAI DevKit ยท Design phase guidance for reviewing feature design against requirements. Use when the user wants to validate architecture, review design docs, resolve design trade-offs, or run dev-lifecycle phase 3./dev-implementationAI DevKit ยท Implementation phase guidance for executing feature plans and checking implementation against design. Use when the user wants to implement planned tasks, update implementation docs, verify code matches design, or run dev-lifecycle phases 5 and 7./dev-lifecycleAI DevKit ยท Orchestrator for structured SDLC phase skills. Use when the user wants to run the full lifecycle or choose the next phase across requirements, design, planning, implementation, testing, and review./dev-planningAI DevKit ยท Planning phase guidance for creating and reconciling feature task plans. Use when the user wants to create an implementation plan, update planning docs, mark task progress, capture blockers or new tasks, or run dev-lifecycle planning work./dev-prAI DevKit ยท Publish a ready feature branch for review. Use when the user wants to sync, push, and open or update a code review request on GitHub, GitLab, or another Git host./dev-requirementsAI DevKit ยท Requirements phase guidance for starting features and reviewing requirements. Use when the user wants to capture a new requirement, clarify product scope, initialize feature docs, review requirements, or run dev-lifecycle phases 1-2./dev-reviewAI DevKit ยท Final code review phase guidance for holistic pre-push review. Use when the user wants code review, final lifecycle review, design alignment checks, integration risk review, or dev-lifecycle phase 9./dev-testingAI DevKit ยท Testing phase guidance for adding and validating feature test coverage. Use when the user wants to write tests, update testing docs, run coverage, close coverage gaps, or run dev-lifecycle phase 8./dev-worktreeAI DevKit ยท Worktree setup and resume guidance for isolated feature work. Use when starting, resuming, switching, or verifying a feature branch/worktree for lifecycle, debugging, implementation, review, or multi-agent workflows./document-codeAI DevKit ยท Document a code entry point with structured analysis, dependency mapping, and saved knowledge docs. Use when users ask to document, understand, or map code for a module, file, folder, function, or API./memoryAI DevKit ยท Use the memory CLI as a durable knowledge layer. Search before non-trivial work, store verified reusable knowledge, update stale entries, and avoid saving transcripts, secrets, or one-off task progress./security-reviewAI DevKit ยท Review code, skills, and prompts for security vulnerabilities โ OWASP Top 10, prompt injection, business logic flaws, and insecure defaults. Use when reviewing PRs, auditing modules, reviewing AI skills/prompts, or preparing for release./simplify-implementationAI DevKit ยท Analyze and simplify existing implementations to reduce complexity, improve maintainability, and enhance scalability. Use when users ask to simplify code, reduce complexity, refactor for readability, clean up implementations, improve maintainability, reduce technical/structured-debugAI DevKit ยท Guide structured debugging before code changes by clarifying expected behavior, reproducing issues, identifying likely root causes, and agreeing on a fix plan with validation steps. Use when users ask to debug bugs, investigate regressions, triage incidents, diagnose/taskAI DevKit ยท Track dev-lifecycle / structured-debug progress on a durable task with the ai-devkit task CLI. Use to record phase, progress, next step, blockers, and validation evidence./tddAI DevKit ยท Test-driven development โ write a failing test before writing production code. Use when implementing new functionality, adding behavior, or fixing bugs during active development./technical-writerAI DevKit ยท Review and improve documentation for novice users. Use when users ask to review docs, improve documentation, audit README files, evaluate API docs, review guides, or improve technical writing./verifyAI DevKit ยท Enforce evidence-based completion claims โ require fresh command output before reporting success. Use when completing any task, fixing a bug, finishing a phase, running tests, building, deploying, or making any "it works" claim.
README
1AI DevKit
English | ไธญๆ
The control plane for AI coding agents.
AI DevKit gives Claude Code, Codex CLI, Gemini CLI, opencode, Pi, Cursor, GitHub Copilot, Devin, and other coding agents one local-first operating layer: one config, one console, local memory retrieval, cross-agent communication, and composable engineering skills led by dev-lifecycle.
- One config for every agent โ
.ai-devkit.jsonreconciles setup across the coding tools your team uses - One console for running sessions โ
agent consoleis a live TUI dashboard for supervising local agents across providers - Cross-agent communication โ
agent sendlets you route prompts, logs, and test output to running agents - Memory retrieval without context bloat โ
@ai-devkit/memorystores decisions, conventions, and fixes in local SQLite so agents search when needed instead of carrying everything in every prompt - Composable engineering skills โ
dev-lifecycle,verify,tdd, review, debugging, security, docs, and simplification skills combine into reliable workflows
The future is many AI coding agents. AI DevKit is the layer that makes them manageable.
Run npx ai-devkit@latest init and your project gets:
| What you need | What AI DevKit installs |
|---|---|
| One setup source | .ai-devkit.json for the agents and workflow you choose |
| Running-agent visibility | agent list, agent detail, and agent console |
| Addressable agents | agent send, --stdin, --wait, and agent groups where supported |
| Retrieval-based memory | Local SQLite memory exposed through MCP and CLI, searched only when useful |
| Composable senior-engineer workflow | dev-lifecycle plus verification, TDD, debugging, review, security, docs, and simplification skills |
Who this is for
Developers whose AI coding setup has grown from one assistant into a small, messy team of agents:
- multiple terminals with no shared control surface
- separate
CLAUDE.md/.cursor/rules/AGENTS.md/ MCP setup per tool - no easy way to send context, logs, or follow-up work to a running agent
- the agent forgetting yesterday's conventions
- "I've successfully implemented the feature" with a red build
- the agent diving into code without a plan and producing the wrong thing
Before AI DevKit, your agents are powerful but scattered. After AI DevKit, they have shared setup, a control surface, searchable memory, communication paths, and reusable skills that travel with your repo without bloating every prompt.
| Without AI DevKit | With AI DevKit |
|---|---|
| You manage agents as isolated terminal tabs | You supervise them from ai-devkit agent console |
| You hand-maintain every agent setup | One config reconciles agent files, skills, and MCP setup |
| You copy logs and context between sessions | agent send routes prompts and stdin to running agents |
| You repeat project rules in every chat | Agents retrieve relevant memory and docs only when useful |
| The agent jumps from prompt to code | dev-lifecycle guides requirements, design, planning, implementation, testing, and review |
| "Done" means the agent stopped editing | "Done" requires fresh verification output |
Start in 30 seconds
npx ai-devkit@latest init
One wizard. Pick your agents, install the control-plane pieces you need, and give every tool the same operating model. It writes project-local files you can review and commit. Re-run it whenever your agent list or workflow changes.
Here's what lands in your repo:
your-project/
โโโ .ai-devkit.json # single source of truth (re-run init anytime)
โโโ .claude/ # or .cursor/, .codex/, etc. per agent you picked
โ โโโ skills/ # dev-lifecycle, verify, memory, tdd, ...
โ โโโ settings.json # MCP servers wired up (incl. @ai-devkit/memory)
โโโ docs/ai/
โโโ requirements/ # phase 1 โ what to build, why
โโโ design/ # phase 2 โ how it'll be built
โโโ planning/ # phase 3 โ task-by-task plan
โโโ implementation/ # phase 4 โ execution notes
โโโ testing/ # phase 5 โ coverage strategy
Operate agents like infrastructure
AI DevKit ships a agent control plane for everyday multi-agent work:
# List running sessions across providers
ai-devkit agent list
# Open the live terminal UI
ai-devkit agent console
# Send a prompt to a running session and wait for the response
ai-devkit agent send "run the tests and report back" --id <agent-name> --wait
# Pipe multi-line output into a running session
npm test 2>&1 | ai-devkit agent send --id <agent-name> --stdin
# Send a prompt to a saved group of agents
ai-devkit agent send "review this branch for release risk" --group reviewers
# Pipe a session through Telegram โ operate your agent from your phone
ai-devkit channel start telegram --agent <agent-name> --daemon
Use this when work spans long-running agents, multiple providers, scheduled checks, review loops, or remote control from another channel.
Add memory without bloating context
AI DevKit memory is local SQLite knowledge for project decisions, coding conventions, and reusable fixes. Agents retrieve it when a task needs context instead of carrying every fact in every prompt.
# Store a reusable project convention
ai-devkit memory store \
--title "API handlers return DTOs" \
--content "REST handlers should return response DTOs instead of domain entities." \
--tags "api,backend" \
--scope "repo:codeaholicguy/ai-devkit"
# Search before related work
ai-devkit memory search --query "API response convention"
Compose engineering workflows with skills
The control plane is useful on its own. For larger or riskier changes, AI DevKit also installs composable skills that make agents behave more like an engineering team.
dev-lifecycle is the anchor skill. It guides the agent through requirements, design, planning, implementation, testing, and review. Other skills plug into that flow:
memoryretrieves relevant project knowledge without stuffing all context into the sessionverifyblocks completion claims without fresh test or build evidencetddpushes test-first implementation when behavior changesstructured-debugkeeps debugging reproducible instead of guess-and-patchsecurity-review,document-code, andsimplify-implementationadd focused review passes when the task needs them
Get the full engineering workflow stack
Save templates/senior-engineer.yaml locally and run:
ai-devkit init --template ./senior-engineer.yaml
Bundles the built-in skills with curated additions from Anthropic, Vercel, and others: TDD, frontend design, webapp testing, doc co-authoring, React best practices, security review, and more.
A feature, end-to-end
You: Use the dev-lifecycle skill to start requirements for OAuth login with Google
Agent: Searches memory for prior auth conventions. Asks clarifying
questions about scope, users, success criteria. Drafts
docs/ai/{requirements,design,planning}/feature-oauth-login.md
in a feature worktree. Stops before coding.
You: Ask for a design review of feature-oauth-login
Agent: Audits the design doc against the requirements. Flags gaps,
proposes fixes โ before any code gets written.
You: Ask it to execute the implementation plan
Agent: Works the planning doc task-by-task. Updates progress after
each task. The `verify` skill blocks a task from being
marked done without fresh test/build output.
You: Ask for a code review
Agent: Audits the diff against the design doc โ scope creep,
missing tests, edge cases the requirements named โ
before you push.
What changes in agent behavior
The flow above is powered by nine built-in skills, each addressing a failure mode developers see in real AI coding sessions:
| Failure mode | AI DevKit behavior |
|---|---|
| Agent starts coding too early | dev-lifecycle forces requirements, design, planning, implementation, tests, and review |
| Agent says "done" without proof | verify blocks completion claims without fresh test/build evidence |
| Agent commits unrelated local changes | dev-commit checks diffs, stages explicit paths, validates, and reports the SHA/status |
| Agent forgets project decisions | memory gives it a local, searchable knowledge base across sessions and projects |
| New behavior ships without tests | tdd pushes test-first implementation |
| Debugging becomes guess-and-patch | structured-debug makes it reproduce, hypothesize, fix, and verify |
| Existing code is opaque | document-code maps entry points, dependencies, and behavior |
| Implementation gets bloated | simplify-implementation reduces complexity before code ships |
| Documentation is hard to follow | technical-writer audits docs for novice-user clarity |
Need more? ai-devkit skill add <registry> <skill> pulls from 30+ publishers โ Anthropic, Vercel, Supabase, Microsoft, Google.
Works across coding agents
One .ai-devkit.json configures all of them. Add a new agent to your team without rewriting your rules.
| Agent | Setup | Remote control |
|---|---|---|
| Claude Code | yes | yes |
| Gemini CLI | yes | yes |
| Codex CLI | yes | yes |
| Grok Build CLI | yes | yes |
| Junie | yes | โ |
| Cline | yes | โ |
| Devin | yes | โ |
| opencode | yes | testing |
| Pi | yes | yes |
| Cursor | yes | โ |
| GitHub Copilot | yes | โ |
| Antigravity | yes | โ |
| Amp | yes | โ |
| Kilo Code | yes | โ |
| Roo Code | testing | โ |
Setup โ ai-devkit init writes the agent's config (rules, MCP servers, and skills) so it joins the same operating layer.
Remote control โ drive running sessions from ai-devkit agent send and route them through external channels.
How is this different from CLAUDE.md, .cursor/rules, or AGENTS.md?
Those files are static instructions the agent re-reads. AI DevKit gives agents a operating layer: generated setup, a control console, cross-agent messaging, local searchable memory, phase docs, skills loaded on demand, and verification gates. The rules still matter, but AI DevKit makes them operational across tools.
| Static rules files | AI DevKit |
|---|---|
| Tell one agent what you prefer | Reconciles setup across supported agents |
| Do not show what is running | Lists, inspects, and controls live sessions |
| Cannot send work between sessions | Routes prompts, stdin, and channel messages to agents |
| Depend on the agent remembering every rule | Stores and searches reusable project knowledge |
| Cannot prove a task is complete | Requires fresh command output before completion claims |
What this isn't
- Not a smarter LLM. Bad models stay bad โ this raises the floor on process, not on raw capability.
- Not a replacement for Claude Code, Codex, Cursor, Gemini CLI, or opencode. AI DevKit configures, supervises, and coordinates the agents you already use.
- Not a magic "write the feature for me" button. You still review the requirements doc, accept the design, and read the diff. The workflow makes that review possible because you have artifacts to point at instead of only chat scrollback.
- Not a hosted service. MIT-licensed, runs locally, no telemetry. Memory is a SQLite file on your disk. The agent control plane talks to the agent SDKs you already use.
Documentation & community
- Full guides, workflow patterns, skill authoring โ ai-devkit.com/docs
- Release notes โ CHANGELOG.md
- Contributing โ CONTRIBUTING.md
git clone https://github.com/Codeaholicguy/ai-devkit.git
cd ai-devkit && npm install && npm run build
License
MIT
File tree
876codeaholicguy/ai-devkitView on GitHub
.ai-devkit.json
.claude-plugin/
plugin.json
.codex-plugin/
plugin.json
.cursor-plugin/
plugin.json
.editorconfig
.github/
workflows/
ci.yml
deploy-web.yml
e2e.yml
publish-agent-manager.yml
publish-channel-connector.yml
publish-cli.yml
publish-memory.yml
rebuild-skill-index.yml
.gitignore
.husky/
pre-commit
pre-push
.nvmrc
agent-console-showcase.jpg
BACKLOG.md
CHANGELOG.md
docs/
ai/
design/
2026-05-26-feature-agent-start.md
2026-05-27-feature-esm-migration.md
2026-05-28-feature-agent-watch.md
2026-05-30-feature-agent-registry-session-cache.md
2026-05-31-feature-agent-rename.md
2026-06-01-feature-agent-console-kill.md
2026-06-01-feature-agent-console-start.md
2026-06-02-feature-agent-console-rename.md
2026-06-04-feature-agent-console-channel.md
2026-06-09-feature-copilot-adapter-agent-manager-package.md
2026-06-10-feature-pi-adapter.md
2026-06-11-feature-plugin-foundation.md
2026-06-14-feature-memory-dashboard.md
2026-06-16-feature-agent-groups.md
2026-06-28-feature-telegram-markdown-chunking.md
2026-06-29-feature-claude-prompt-hook.md
2026-06-29-feature-telegram-question-buttons.md
2026-06-29-feature-wezterm-support.md
2026-07-01-feature-task-system.md
2026-07-02-feature-agent-console-detail-chat-view.md
2026-07-03-feature-view-memory-list-in-agent-console.md
2026-08-06-feature-slack-channel-connector.md
2026-08-07-feature-agent-print-mode.md
feature-agent-detail.md
feature-agent-list-cwd.md
feature-agent-list-type.md
feature-agent-management.md
feature-agent-manager-package.md
feature-agent-manager.md
feature-agent-send-wait.md
feature-agent-send.md
feature-channel-connector.md
feature-channel-daemon-mode.md
feature-claude-sessions-pid-matching.md
feature-codex-adapter-agent-manager-package.md
feature-custom-skill-registries.md
feature-docs-init-feature-command.md
feature-gemini-cli-adapter.md
feature-generalize-session-mapping.md
feature-global-setup.md
feature-grok-cli-adapter.md
feature-init-template.md
feature-install-command.md
feature-knowledge-memory-service.md
feature-lint-command.md
feature-list-sessions.md
feature-mcp-config.md
feature-memory-db-path-config.md
feature-memory-search-table-output.md
feature-memory-update.md
feature-multi-telegram-channels.md
feature-project-skill-registry-priority.md
feature-reimpl-claude-code-adapter.md
feature-setup-wizard.md
feature-skill-add-interactive-selection.md
feature-skill-find.md
feature-skill-management.md
feature-skill-update.md
feature-terminal-ui-standardization.md
feature-validation-zod-migration.md
feature-web-skill-search.md
README.md
implementation/
2026-05-26-feature-agent-start.md
2026-05-27-feature-esm-migration.md
2026-05-28-feature-agent-watch.md
2026-05-30-feature-agent-registry-session-cache.md
2026-05-31-feature-agent-rename.md
2026-06-01-feature-agent-console-kill.md
2026-06-01-feature-agent-console-start.md
2026-06-02-feature-agent-console-rename.md
2026-06-04-feature-agent-console-channel.md
2026-06-09-feature-copilot-adapter-agent-manager-package.md
2026-06-10-feature-pi-adapter.md
2026-06-11-feature-plugin-foundation.md
2026-06-14-feature-memory-dashboard.md
2026-06-16-feature-agent-groups.md
2026-06-28-feature-telegram-markdown-chunking.md
2026-06-29-feature-claude-prompt-hook.md
2026-06-29-feature-telegram-question-buttons.md
2026-06-29-feature-wezterm-support.md
2026-07-01-feature-task-system.md
2026-07-02-feature-agent-console-detail-chat-view.md
2026-07-03-feature-view-memory-list-in-agent-console.md
2026-08-06-feature-slack-channel-connector.md
2026-08-07-feature-agent-print-mode.md
feature-agent-detail.md
feature-agent-list-cwd.md
feature-agent-list-type.md
feature-agent-management.md
feature-agent-manager-package.md
feature-agent-manager.md
feature-agent-send-wait.md
feature-agent-send.md
feature-channel-connector.md
feature-channel-daemon-mode.md
feature-claude-sessions-pid-matching.md
feature-codex-adapter-agent-manager-package.md
feature-custom-skill-registries.md
feature-docs-init-feature-command.md
feature-gemini-cli-adapter.md
feature-generalize-session-mapping.md
feature-global-setup.md
feature-grok-cli-adapter.md
feature-init-template.md
feature-install-command.md
feature-knowledge-memory-service.md
feature-lint-command.md
feature-list-sessions.md
feature-mcp-config.md
feature-memory-db-path-config.md
feature-memory-search-table-output.md
feature-memory-update.md
feature-multi-telegram-channels.md
feature-project-skill-registry-priority.md
feature-reimpl-claude-code-adapter.md
feature-setup-wizard.md
feature-skill-add-interactive-selection.md
feature-skill-find.md
feature-skill-management.md
feature-skill-update.md
feature-terminal-ui-standardization.md
feature-validation-zod-migration.md
feature-web-skill-search.md
README.md
planning/
2026-05-26-feature-agent-start.md
2026-05-27-feature-esm-migration.md
2026-05-28-feature-agent-watch.md
2026-05-30-feature-agent-registry-session-cache.md
2026-05-31-feature-agent-rename.md
2026-06-01-feature-agent-console-kill.md
2026-06-01-feature-agent-console-start.md
2026-06-02-feature-agent-console-rename.md
2026-06-04-feature-agent-console-channel.md
2026-06-09-feature-copilot-adapter-agent-manager-package.md
2026-06-10-feature-pi-adapter.md
2026-06-11-feature-plugin-foundation.md
2026-06-14-feature-memory-dashboard.md
2026-06-16-feature-agent-groups.md
2026-06-28-feature-telegram-markdown-chunking.md
2026-06-29-feature-claude-prompt-hook.md
2026-06-29-feature-telegram-question-buttons.md
2026-06-29-feature-wezterm-support.md
2026-07-01-feature-task-system.md
2026-07-02-feature-agent-console-detail-chat-view.md
2026-07-03-feature-view-memory-list-in-agent-console.md
2026-08-06-feature-slack-channel-connector.md
2026-08-07-feature-agent-print-mode.md
feature-agent-detail.md
feature-agent-list-cwd.md
feature-agent-list-type.md
feature-agent-management.md
feature-agent-manager-package.md
feature-agent-manager.md
feature-agent-send-wait.md
feature-agent-send.md
feature-channel-connector.md
feature-channel-daemon-mode.md
feature-claude-sessions-pid-matching.md
feature-codex-adapter-agent-manager-package.md
feature-custom-skill-registries.md
feature-docs-init-feature-command.md
feature-gemini-cli-adapter.md
feature-generalize-session-mapping.md
feature-global-setup.md
feature-grok-cli-adapter.md
feature-init-template.md
feature-install-command.md
feature-knowledge-memory-service.md
feature-lint-command.md
feature-list-sessions.md
feature-mcp-config.md
feature-memory-db-path-config.md
feature-memory-search-table-output.md
feature-memory-update.md
feature-multi-telegram-channels.md
feature-project-skill-registry-priority.md
feature-reimpl-claude-code-adapter.md
feature-setup-wizard.md
feature-skill-add-interactive-selection.md
feature-skill-find.md
feature-skill-management.md
feature-skill-update.md
feature-terminal-ui-standardization.md
feature-validation-zod-migration.md
feature-web-skill-search.md
README.md
requirements/
2026-05-26-feature-agent-start.md
2026-05-27-feature-esm-migration.md
2026-05-28-feature-agent-watch.md
2026-05-30-feature-agent-registry-session-cache.md
2026-05-31-feature-agent-rename.md
2026-06-01-feature-agent-console-kill.md
2026-06-01-feature-agent-console-start.md
2026-06-02-feature-agent-console-rename.md
2026-06-04-feature-agent-console-channel.md
2026-06-09-feature-copilot-adapter-agent-manager-package.md
2026-06-10-feature-pi-adapter.md
2026-06-11-feature-plugin-foundation.md
2026-06-14-feature-memory-dashboard.md
2026-06-16-feature-agent-groups.md
2026-06-28-feature-telegram-markdown-chunking.md
2026-06-29-feature-claude-prompt-hook.md
2026-06-29-feature-telegram-question-buttons.md
2026-06-29-feature-wezterm-support.md
2026-07-01-feature-task-system.md
2026-07-02-feature-agent-console-detail-chat-view.md
2026-07-03-feature-view-memory-list-in-agent-console.md
2026-08-06-feature-slack-channel-connector.md
2026-08-07-feature-agent-print-mode.md
feature-agent-detail.md
feature-agent-list-cwd.md
feature-agent-list-type.md
feature-agent-management.md
feature-agent-manager-package.md
feature-agent-manager.md
feature-agent-send-wait.md
feature-agent-send.md
feature-channel-connector.md
feature-channel-daemon-mode.md
feature-claude-sessions-pid-matching.md
feature-codex-adapter-agent-manager-package.md
feature-custom-skill-registries.md
feature-docs-init-feature-command.md
feature-gemini-cli-adapter.md
feature-generalize-session-mapping.md
feature-global-setup.md
feature-grok-cli-adapter.md
feature-init-template.md
feature-install-command.md
feature-knowledge-memory-service.md
feature-lint-command.md
feature-list-sessions.md
feature-mcp-config.md
feature-memory-db-path-config.md
feature-memory-search-table-output.md
feature-memory-update.md
feature-multi-telegram-channels.md
feature-project-skill-registry-priority.md
feature-reimpl-claude-code-adapter.md
feature-setup-wizard.md
feature-skill-add-interactive-selection.md
feature-skill-find.md
feature-skill-management.md
feature-skill-update.md
feature-terminal-ui-standardization.md
feature-validation-zod-migration.md
feature-web-skill-search.md
README.md
testing/
2026-05-26-feature-agent-start.md
2026-05-27-feature-esm-migration.md
2026-05-28-feature-agent-watch.md
2026-05-30-feature-agent-registry-session-cache.md
2026-05-31-feature-agent-rename.md
2026-06-01-feature-agent-console-kill.md
2026-06-01-feature-agent-console-start.md
2026-06-02-feature-agent-console-rename.md
2026-06-04-feature-agent-console-channel.md
2026-06-09-feature-copilot-adapter-agent-manager-package.md
2026-06-10-feature-pi-adapter.md
2026-06-11-feature-plugin-foundation.md
2026-06-14-feature-memory-dashboard.md
2026-06-16-feature-agent-groups.md
2026-06-28-feature-telegram-markdown-chunking.md
2026-06-29-feature-claude-prompt-hook.md
2026-06-29-feature-telegram-question-buttons.md
2026-06-29-feature-wezterm-support.md
2026-07-01-feature-task-system.md
2026-07-02-feature-agent-console-detail-chat-view.md
2026-07-03-feature-view-memory-list-in-agent-console.md
2026-08-06-feature-slack-channel-connector.md
2026-08-07-feature-agent-print-mode.md
feature-agent-detail.md
feature-agent-list-cwd.md
feature-agent-list-type.md
feature-agent-management.md
feature-agent-manager-package.md
feature-agent-manager.md
feature-agent-send-wait.md
feature-agent-send.md
feature-channel-connector.md
feature-channel-daemon-mode.md
feature-claude-sessions-pid-matching.md
feature-codex-adapter-agent-manager-package.md
feature-custom-skill-registries.md
feature-docs-init-feature-command.md
feature-gemini-cli-adapter.md
feature-generalize-session-mapping.md
feature-global-setup.md
feature-grok-cli-adapter.md
feature-init-template.md
feature-install-command.md
feature-knowledge-memory-service.md
feature-lint-command.md
feature-list-sessions.md
feature-mcp-config.md
feature-memory-db-path-config.md
feature-memory-search-table-output.md
feature-memory-update.md
feature-multi-telegram-channels.md
feature-project-skill-registry-priority.md
feature-reimpl-claude-code-adapter.md
feature-setup-wizard.md
feature-skill-add-interactive-selection.md
feature-skill-find.md
feature-skill-management.md
feature-skill-update.md
feature-terminal-ui-standardization.md
feature-validation-zod-migration.md
feature-web-skill-search.md
README.md
e2e/
cli.e2e.ts
helpers.ts
tsconfig.json
vitest.config.ts
hooks/
claude/
claude-prompt-hook.js
codex/
hooks/
hooks.json
codex-session-mapping.cjs
nx.json
package-lock.json
package.json
packages/
agent-manager/
.eslintrc.json
.swcrc
package.json
project.json
README.md
src/
__tests__/
adapters/
ClaudeCodeAdapter.test.ts
CodexAdapter.test.ts
CopilotAdapter.test.ts
GeminiCliAdapter.test.ts
GrokCliAdapter.test.ts
OpenCodeAdapter.test.ts
PiAdapter.test.ts
AgentManager.test.ts
fixtures/
fake-claude.cjs
print/
ClaudeCliProbe.test.ts
ClaudePrintAgent.integration.test.ts
ClaudePrintAgentService.test.ts
ClaudePrintRunner.test.ts
PrintAgent.test.ts
PrintAgentStore.test.ts
terminal/
TerminalFocusManager.test.ts
TmuxManager.test.ts
TtyWriter.test.ts
utils/
agent-requests.test.ts
AgentRegistry.test.ts
agents.test.ts
ClaudeSessionParser.test.ts
matching.test.ts
process.test.ts
session.test.ts
adapters/
AgentAdapter.ts
ClaudeCodeAdapter.ts
... 665 moreFAQ
ai-devkit is a Claude Code plugin with 24 hand-picked skills for development work, indexed on Flowy. Install it with the command on its page. It includes agent-communication, agent-management, agent-orchestration. 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 ai-devkit?
- The control plane for AI coding agents. AI DevKit gives Claude Code, Codex CLI, Gemini CLI, opencode, Pi, Cursor, GitHub Copilot, Devin, and other coding agents one local-first operating layer: one config, one console, local memory retrieval, cross-agent
- How do I install ai-devkit?
- Run these in Claude Code: npx -y skills add codeaholicguy/ai-devkit --agent claude-code. Then prompt normally.
- Does ai-devkit 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 ai-devkit free?
- Yes. Flowy is free and open source, with nothing gated. You can read every skill in full before you install.