context7
Fetches up-to-date documentation and code examples for libraries, frameworks, SDKs, CLI tools and cloud services, so an AI agent can answer API questions and generate code against current references.
Architecture Decision Record orchestrator for Claude Code. Given a feature request, issue, or problem statement, it explores the codebase, compares several architectural approaches, and writes the decision record. A companion skill structures vague problems into an intake document first.
Claude Code
$ npx -y skills add jsingh6/arch-decision --agent claude-code
Codex
$ npx skills add jsingh6/arch-decision -a codex
Cursor
$ npx skills add jsingh6/arch-decision -a cursor
Gemini CLI
$ npx skills add jsingh6/arch-decision -a gemini-cli
GitHub Copilot
$ npx skills add jsingh6/arch-decision -a github-copilot
OpenCode
$ npx skills add jsingh6/arch-decision -a opencode
Windsurf
$ npx skills add jsingh6/arch-decision -a windsurf
arch-decision is an open-source AI orchestrator that runs inside any codebase, explores it deeply, and produces a formal Architecture Decision Record — in minutes, not hours.
View Example ADR · Impact Dashboard · Install
Every team faces the same gap: a decision gets made, the code gets written, but nobody wrote down why. Six months later a new engineer changes it — and the same debate happens all over again.
Architecture Decision Records (ADRs) solve this. But writing them is friction. It takes a senior engineer 2–4 hours to research the codebase, draft approaches, build a trade-off table, and write it up clearly. So it almost never happens.
arch-decision removes that friction entirely.
Give it a GitHub issue, a Jira ticket, or a plain description. It handles the rest:
/arch-decision https://github.com/owner/repo/issues/42
Phase 0 Detects repo language, framework, existing ADRs
Phase 1 Understands the problem from the issue or description
Phase 2 Launches 3 parallel agents — prior art, impact map, constraints
Phase 3 Asks clarifying questions before designing anything
Phase 4 Generates 3 approaches simultaneously (Minimal / Clean / Pragmatic)
Phase 5 Synthesizes a trade-off table and recommends the best path
Phase 6 Waits for your approval — nothing is written without sign-off
Phase 7 Writes a formal ADR to docs/decisions/ with full context
Phase 8 Links the ADR back to the original issue
Works on any language. Any framework. Any team.
| GitHub Copilot / Cursor | arch-decision | |
|---|---|---|
| Operates on | Files and lines | The full decision lifecycle |
| Knows why you're building | No | Yes — starts from the problem |
| Produces documentation | No | Yes — formal ADR, committed to git |
| Human approval gate | No | Yes — cannot proceed without sign-off |
| Resumable across sessions | No | Yes — checkpoints after every phase |
| Independently validated | — | Yes — community PRs confirm recommendations |
Ran against refinedev/refine on issue #7338 — a feature request for reverse filter mapping in useTable with syncWithLocation.
The tool explored the codebase cold, found prior art in crudFiltersToColumnFilters, identified the framework-agnostic constraint in packages/core, and recommended an onParse callback scoped to the antd wrapper.
A community contributor independently opened PR #7385 with the same callback name, same scope, same placement — without seeing this output.
The tool reached the same conclusion a human engineer did, from a cold start, in under 5 minutes.
arch-decision is a Claude Code plugin built on a multi-agent architecture:
skills/arch-decision/SKILL.md) — coordinates all 8 phases, maintains a context bus, enforces the human approval gateagents/arch-explorer/) — 3 run in parallel during Phase 2, each focused on a different angle: prior art, impact map, and constraintsagents/arch-synthesizer/) — produces the trade-off table and recommendation from all three approachesThe human approval gate in Phase 6 means the agent cannot write the ADR without your explicit sign-off. It is designed to accelerate human judgment, not replace it.
Requires Claude Code. Install it first if you haven't already.
Then install the plugin:
claude plugin install arch-decision
Open Claude Code inside any repo and run:
/arch-decision <GitHub issue URL, Jira description, or plain text>
That's it. Examples of what you can pass:
# GitHub issue
/arch-decision https://github.com/owner/repo/issues/42
# Paste your Jira ticket summary or description directly
/arch-decision We need reverse filter mapping in useTable so URL params sync back to filter state on page load
# Or just describe the problem in plain English
/arch-decision add rate limiting to the public API
The tool asks you clarifying questions, shows you 3 approaches with a trade-off table, and waits for your approval before writing anything. The ADR is saved to docs/decisions/ in your repo.
If the problem is still vague and you want to frame it first, use
/arch-intake your problem herebefore running/arch-decision.
Metrics are tracked automatically on every ADR merge.
View the full Impact Dashboard
arch-decision/
├── skills/
│ ├── arch-decision/SKILL.md — 8-phase orchestrator
│ └── arch-intake/SKILL.md — problem framing pre-skill
├── agents/
│ ├── arch-explorer/agent.md — parallel codebase exploration
│ └── arch-synthesizer/agent.md — trade-off synthesis
├── example-output/ — real ADR examples
├── scripts/generate_dashboard.py — auto-generates DASHBOARD.md
└── .github/workflows/ — updates dashboard on every ADR merge
MIT
Fetches up-to-date documentation and code examples for libraries, frameworks, SDKs, CLI tools and cloud services, so an AI agent can answer API questions and generate code against current references.
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Architecture Decision Record orchestrator for Claude Code. Given a feature request, issue, or problem statement, it explores the codebase, compares several architectural approaches, and writes the decision record. A companion skill structures vague problems into an intake document first. Install it with the command on its page. It includes arch-decision, arch-intake. Its skills do not fire on their own yet. Free and open source.
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