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SkillsMP는 seanGSISG/crispy-claude에서 16개의 skill을 수집했습니다. skill을 열어 소스와 세부 정보를 확인하세요.
수집된 skill 16개 중 16개를 표시합니다.
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 before execution
원문 언어: 영어
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
원문 언어: 영어
Use when saving workflow state to Serena MCP memory at research, planning, execution, or completion stages - enables resuming work later with /cc:resume command
원문 언어: 영어
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 TodoWrite todos for checklists
원문 언어: 영어
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
원문 언어: 영어
Use when researching best practices, tutorials, and expert opinions using WebSearch and WebFetch tools - assesses source authority and recency to synthesize findings with citations
원문 언어: 영어
Use when researching library documentation with Context7 MCP tools for official patterns and best practices
원문 언어: 영어
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
원문 언어: 영어
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 validation. Don't use during clear 'mechanical' processes
원문 언어: 영어
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 verification steps assuming engineer has minimal…
원문 언어: 영어
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)
원문 언어: 영어
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-saving to memory before planning
원문 언어: 영어
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, overview tools, and progressive narrowing
원문 언어: 영어
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 understand architecture, patterns, dependencies, and…
원문 언어: 영어
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, coding conventions, testing patterns, and deployment…
원문 언어: 영어
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
원문 언어: 영어