repo-website-api-review
Review and verify API documentation routes on the Formisch website. Use when checking documentation accuracy, completeness, and consistency with source code.
Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Review and verify API documentation routes on the Formisch website. Use when checking documentation accuracy, completeness, and consistency with source code.
Use when auditing CloudBase cloud API wrappers, MCP tools, generated action metadata, or related docs for outdated or incorrect action names, parameters, casing, request shapes, or missing contract tests, especially during periodic quality review or before preparing corrective PRs.
Perform a full codebase review, categorize findings by severity, file GitHub issues, then fix each issue in an isolated git worktree and submit PRs. Use this skill when the user asks to audit the codebase, do a comprehensive code review, find and fix security/quality/reliability issues, or run a proactive health check across the entire repository.
Periodically analyze open pull requests for CI failures, code review feedback, and quality issues, then fix them in batch. Use this skill when the user asks to check PR status, triage CI failures, fix review comments, analyze open PRs, or run a scheduled PR health check across the repository.
分析 Bug 类型 Issue, 定位根因, 并对简单 Bug 自动创建修复 PR。
全AIプロバイダーのAPIエンドポイント(チャット・TTS・STT・Embedding)を動作確認し、レポートを出力する。
Captures and analyzes performance traces to identify slow queries and N+1 problems. Use when a page is slow, there are too many queries, or the user asks about performance.
Profile memory usage in sidecar using Go pprof, system tools, and heap analysis. Covers identifying memory leaks, goroutine leaks, file descriptor accumulation, and CPU profiling. Use when investigating memory issues, profiling performance, debugging memory leaks, or diagnosing unresponsive plugins.
Autonomous multi-round research review loop. Repeatedly reviews via Codex MCP, implements fixes, and re-reviews until positive assessment or max rounds reached. Use when user says "auto review loop", "review until it passes", or wants autonomous iterative improvement.