浏览 iplaylf2 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
0仓库 Forks
0平均每个技能的仓库 Stars
0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 when a single file is difficult to understand top-down because the public surface is buried or definitions appear before the behavior they support. Goal: restore a clear reading flow without changing semant...
Use when navigation is costly or module boundaries feel blurry due to messy directories, inconsistent naming, or cross-boundary imports. Goal: make architecture and dependency direction readable from the tree a...
Use when drafting or revising an agent skill spec in an environment that already has a general skill creator. Apply user-specific preferences to tighten triggers, reduce redundancy, keep scope safe, and keep th...
Use only when the user explicitly asks for a git branch name. Output one strong recommendation in a consistent pattern, with minimal, high-signal rationale.
Use when editing documentation or long-form prose where consistency, clarity, and accuracy matter. Goal: produce clean publishable text without tone drift, structural churn, or meta commentary.
Use when comments are growing faster than clarity: many “what” comments, frequent drift, or code that needs explanation to be understood. Goal: encode intent in names and structure, and keep only high-value tex...
Generate semantic commit messages in English. Use when the user asks for a commit message or semantic commit guidance. Prefer the user’s stated change intent and context, and keep the message consistent with th...
Use when designing or refactoring declaration contracts for callables, data shapes, or generic/type parameters using a Name+Shape view (named vs positional) so meaning stays explicit and positional order stays...
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。