Browse published AI skills maintained by seanGSISG. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
16Repository stars across indexed skills
16Repository forks
0Average repository stars per indexed skill
1Repository stars may repeat across skills from the same repository.
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
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.