archdiagram
bharathgnana/archdiagram/AGENTS.md
Guidance for AI coding agents (Cursor, Claude Code/Desktop, Codex, etc.) using this repository. archdiagram converts a JSON architecture spec into an editable diagram whose nodes are official vendor service icons (Azure, AWS, GCP, Kubernetes), exported as .pdf, .drawio, or .vsdx (all Lucidchart-importable). Your job as an agent: translate the user's natural-language architecture into the JSON spec, then render it. 1. Skill - read skill/SKILL.md and follow it. It contains the spec schema, catalog lookup, and render commands. 2. MCP server…
AGENTS.md3 starsChanged 3 months ago
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# AGENTS.md Guidance for AI coding agents (Cursor, Claude Code/Desktop, Codex, etc.) using this repository. ## What this repo does `archdiagram` converts a JSON architecture **spec** into an editable diagram whose nodes are official vendor service icons (Azure, AWS, GCP, Kubernetes), exported as `.pdf`, `.drawio`, or `.vsdx` (all Lucidchart-importable). Your job as an agent: translate the user's natural-language architecture into the JSON spec, then render it. ## Two ways to use it 1. **Skill** - read [skill/SKILL.md](skill/SKILL.md) and follow it. It contains the spec schema, catalog lookup, and render commands. 2. **MCP server** - run `python -m mcp_server.server` and call the tools `validate_spec`, `render_diagram`, `search_catalog`, `list_catalog`. A sample client config is in [examples/mcp.json](examples/mcp.json). ## Quick start ```bash python -m tools.download_icons # fetch vendor icons into ./icons cd node && npm install && cd .. # optional: PDF + crisp raster icons python -m archdiagram.cli catalog search "kubernetes" python -m archdiagram.cli render spec.json -f pdf -o out/arch.pdf ``` ## Conventions - Core engine is **stdlib-only** (no third-party Python deps). Keep it that way. - The `mcp` SDK is allowed **only** under `mcp_server/`. - Node (`@resvg/resvg-js`, `pdfkit`, `svg-to-pdfkit`) is optional and confined to `node/` + `archdiagram/rasterize/`. - Vendor icons are **not committed**; they are fetched by `tools/download_icons.py`. - Tests use stdlib `unittest`: `python -m unittest discover -s tests`. ## Cursor↔Claude live-review bridge A reviewer running in **Cursor** watches the executing agent (**Claude**, in the terminal) and steers it *without interrupting the chat*, via **bridge files**. This convention works in every repo (a user-scope hook activates it automatically). - **Bridge files are named `suggestions_*.md`** — e.g. `plans/suggestions_NN_<slug>.md` beside a plan, or a top-level `suggestions_<topic>.md`. The **Cursor reviewer owns** them (creates / rewrites / erases). The executor never deletes a reviewer's directives. - **Claude polls** the relevant `suggestions_*.md` before starting a task and after every task/checkbox. - **`## Open Directives` (`- [ ]`) are binding.** On conflict with the plan/spec body, the directive wins (the reviewer has fresher context). - **Claude acknowledges** under `## Claude Acknowledgements`, ticking `- [ ]` → `- [x]` and referencing the code/tests that close each one. Blockers are surfaced there. - **Automated — no manual nudge.** A user-scope `Stop` hook (`~/.claude/hooks/suggestions_watch.py`, wired in `~/.claude/settings.json`) runs at the end of every turn: if a `suggestions_*.md` changed and still has unchecked directives, it blocks the stop and re-injects them. It baselines on first sight, guards against loops, and fails open. Hooks load at session start, so restart an in-flight session (or run `/hooks`) if the bridge does not fire. - **When you are the Cursor reviewer:** write `suggestions_*.md` with a `## Open Directives` list of short, testable `- [ ]` items plus a `## Claude Acknowledgements` heading, and reference the bridge file from the plan/spec.
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