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O SkillsMP coletou 16 skills de seanGSISG/crispy-claude. Abra uma skill para revisar a origem e os detalhes.
Mostrando 16 de 16 skills coletadas.
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
Idioma do texto original: inglês
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
Idioma do texto original: inglês
Use when saving workflow state to Serena MCP memory at research, planning, execution, or completion stages - enables resuming work later with /cc:resume command
Idioma do texto original: inglês
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
Idioma do texto original: inglês
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
Idioma do texto original: inglês
Use when researching best practices, tutorials, and expert opinions using WebSearch and WebFetch tools - assesses source authority and recency to synthesize findings with citations
Idioma do texto original: inglês
Use when researching library documentation with Context7 MCP tools for official patterns and best practices
Idioma do texto original: inglês
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
Idioma do texto original: inglês
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
Idioma do texto original: inglês
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…
Idioma do texto original: inglês
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)
Idioma do texto original: inglês
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
Idioma do texto original: inglês
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
Idioma do texto original: inglês
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…
Idioma do texto original: inglês
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…
Idioma do texto original: inglês
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
Idioma do texto original: inglês