content/skills/git-github-skills/gh-bootstrap/SKILL.md
Initialize GitHub repository configuration from vetted upstream templates. Use when setting up repository automation, issue and PR templates, CI workflows, or baseline GitHub project files for a new or existing repo.
npx skillsauth add bahayonghang/my-claude-code-settings gh-bootstrapInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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python "$SKILL_DIR/scripts/gh_bootstrap_runtime.py" detect "$ARGUMENTS" before planning.AskUserQuestion to collect necessary configuration variables.specs/template-catalog.md to map required files to repository URLs, then use python "$SKILL_DIR/scripts/gh_bootstrap_runtime.py" fetch-template ... to download the chosen template sources.python "$SKILL_DIR/scripts/gh_bootstrap_runtime.py" render-template ... so placeholder replacement is deterministic. Keep phases/ and specs/ as reference material, not the execution engine.python "$SKILL_DIR/scripts/gh_bootstrap_runtime.py" validate-tree <target-root> and refuse completion if unreplaced {{placeholders}} remain.rtk is available, prefer it for project scanning, template inspection, and post-generation diff review. Keep template download and file rendering on the raw script path.{{projectName}}).development
Implement safe, behavior-preserving code refactors after inspecting the existing project. Use when the user asks to refactor code, split large files or modules, extract functions or methods, reduce duplicated logic, rename confusing classes/functions/variables, improve code comments, remove unused or dead code, or says 重构代码, 拆分模块, 提取方法, 减少重复代码, 优化命名, 优化注释, 删除未调用代码. For broad refactor requests, plan safe slices and wait for approval; for narrow scoped requests, directly implement the smallest verifiable slice.
development
Use only when the user explicitly asks for swarm, subagents, parallel agents, dynamic workflow, multi-agent orchestration, 多智能体编排, or when the task truly needs coordinated research plus implementation plus review plus verification packets. Do not use for ordinary code review, planning-only work, single-line bugfixes, routine audits, or migrations unless orchestration is requested or at least two independent workflow dimensions are present.
development
Run a code quality review focused on maintainability, structure, abstraction quality, file growth, branching complexity, boundary cleanliness, and refactoring opportunities. Use when the user asks for code quality review, code review, maintainability review, architecture quality review, PR code quality feedback, 代码质量审查, 代码质量 review, 可维护性审查, 架构质量审查, or review comments about code structure. Do not use for pure security review, formatting-only review, performance profiling, or implementation tasks unless the user also asks for a code quality review.
development
Plan-first brainstorming workflow that turns an idea into an approved Markdown implementation plan by default. Use when the user wants to brainstorm, design, scope, or plan a feature/spec before implementation. Spark explores project context, asks only blocking questions, writes the plan under the project root's .plannings/YYYY-MM-DD-feature-slug.md path, self-reviews it, and waits for user approval. Create an HTML or visual plan/spec only when the user explicitly asks for HTML, browser-viewable, or visual output; save the paired .html beside the Markdown plan.