ai-model-nodejs
Use this skill for Node.js backend AI via @cloudbase/node-sdk (>=3.16.0) — cloud functions, CloudRun, Express/Koa/NestJS, serverless APIs, scheduled jobs, LLM…
Use when auditing repository documentation for drift, stale statements, broken references, or README mismatches, especially across published docs under `doc/` and key entry surfaces such as `README.md` (English default), `README.zh-CN.md`, `mcp/README.md`, and
$ npx -y skills add TencentCloudBase/CloudBase-AI-Toolkit --skill doc-freshness-review --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/doc-freshness-reviewContext preview
The summary Claude sees to decide when to auto-load this skill.
Use when auditing repository documentation for drift, stale statements, broken references, or README mismatches, especially across published docs under `doc/` and key entry surfaces such as `README.md` (English default), `README.zh-CN.md`, `mcp/README.md`, and
name: doc-freshness-review description: Use when auditing repository documentation for drift, stale statements, broken references, or README mismatches, especially across published docs under `doc/` and key entry surfaces such as `README.md` (English default), `README.zh-CN.md`, `mcp/README.md`, and `mcp/README.zh-CN.md` during periodic maintenance or before preparing corrective PRs. alwaysApply: false
Review whether repository documentation still matches the current code, generated assets, and published entry points.
Use this skill when you need to:
**Do NOT use for:**
1. Read `references/review-scope.md` first. 2. Build the audit surface in two groups:
3. Note which code, scripts, generated files, or workflows those docs claim to describe.
1. Verify whether referenced files, scripts, commands, and workflow names still exist. 2. Compare the docs against the current implementation, generated outputs, and source-of-truth files. 3. Mark each mismatch as one of:
1. Prefer concrete findings with exact file paths and the smallest useful rewrite direction. 2. If the fix is mechanical and low-risk, prepare the doc updates for a focused PR. 3. If the docs may be wrong because product behavior is unclear, write a report and issue instead of guessing. 4. If the drift originates from a CloudBase API contract problem, hand off to `api-contract-review` before updating the prose.
1. Keep report sections separate for:
2. Prefer one focused PR per coherent doc drift batch. 3. Route open-PR repair work to `pr-review-fix` after the doc finding is confirmed.
| Task | Read | | --- | --- | | Review docs and README freshness scope | `references/review-scope.md` | | Review CloudBase API contract drift before changing related prose | `api-contract-review` | | Fix an already-open PR after confirming the doc drift | `pr-review-fix` |
1. Audit `doc/` and the main README files for stale commands, missing files, and broken references. 2. Review whether `mcp/README.md` still matches the current MCP tool behavior and linked files. 3. Help me prepare a corrective PR for docs that still reference scripts or workflows that no longer exist.
1. Review this TypeScript module for runtime validation gaps. 2. Compare CloudBase action parameters against the official control-plane docs. 3. Write a brand-new tutorial for a feature that does not exist yet.
AI writes the code. CloudBase runs the backend. The CloudBase integration layer for AI coding tools: Plugin installs the stack, Skills steer how code is written, MCP operates databases, functions, storage, and deploys from chat.
Repo: TencentCloudBase/CloudBase-AI-Toolkit
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