浏览 seanGSISG 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
16收录技能的仓库 Stars 合计
16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 when starting any conversation - establishes mandatory workflows for finding and using skills, including using Skill tool before announcing usage, following brainstorming before coding, and creating TodoWri...
Use when setting up project-specific agents via /cc:setup-project or when user requests custom agents for their codebase - analyzes project to create specialized, project-aware implementer agents that understan...
Use after writing-plans to decompose monolithic plan into individual task files and identify tasks that can run in parallel (up to 2 subagents simultaneously)
Use when brainstorming completes and user selects research-first option - manages parallel research subagents (up to 4) across codebase, library docs, web, and GitHub sources, synthesizing findings and auto-sav...
Use when executing decomposed plans with parallel batches - dispatches up to 2 fresh subagents per batch with code review between batches, enabling fast parallel iteration with quality gates
Use when setting up project-specific skills via /cc:setup-project or when user requests custom skills for their codebase - analyzes project to create specialized skills that capture architecture knowledge, codi...
Use when creating pull requests to auto-generate PR descriptions from plan, execution context, and memory - handles pre-flight checks, description generation, and GitHub CLI integration
Use when researching best practices, tutorials, and expert opinions using WebSearch and WebFetch tools - assesses source authority and recency to synthesize findings with citations
Use when exploring codebases with Serena MCP tools for architectural understanding and pattern discovery - guides efficient symbolic exploration workflow minimizing token usage through targeted symbol reads, ov...
Use when researching library documentation with Context7 MCP tools for official patterns and best practices
Use when design is complete and you need detailed implementation tasks for engineers with zero codebase context - creates comprehensive implementation plans with exact file paths, complete code examples, and ve...
Use after plan is written to validate implementation plans across completeness, quality, feasibility, and scope dimensions - spawns specialized validators for failed dimensions and refines plan interactively be...
Use when researching GitHub issues, PRs, and discussions for community solutions and known gotchas - searches via WebSearch with site filters and extracts problem-solution patterns
Use when partner provides a complete implementation plan to execute in controlled batches with review checkpoints - loads plan, reviews critically, executes tasks in batches, reports for review between batches
Use when creating or developing, before writing code or implementation plans - refines rough ideas into fully-formed designs through collaborative questioning, alternative exploration, and incremental validatio...
Use when saving workflow state to Serena MCP memory at research, planning, execution, or completion stages - enables resuming work later with /cc:resume command
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。