agent-friendly-commands
Use these when you want low-noise lint/test output (good for LLM/CI logs) while staying aligned with repo policy.
浏览 localtaskrepo 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。
已收录技能
8收录技能的仓库 Stars 合计
8仓库 Forks
0平均每个技能的仓库 Stars
1同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。
Use these when you want low-noise lint/test output (good for LLM/CI logs) while staying aligned with repo policy.
Use this to create and maintain LoTaR tasks for work tracking, with minimal friction and consistent updates.
Use this when smoke tests fail (binary/web assets, Playwright setup, server lifecycle, ports, env vars).
Use this at the start of non-trivial work to quickly load the right runbooks (skills + path-scoped instructions) before making changes.
Use this to run the Rust suite quickly with `cargo nextest`, starting targeted and widening to full CI parity.
Use this to run and debug the UI + server locally (Vite dev server, `lotar serve`, ports, SSE).
Use this when adding/fixing UI or smoke tests; prefer targeted Vitest runs first, then widen.
Use this when changing REST endpoints so Rust DTOs, UI DTOs, OpenAPI, and docs stay in sync.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。