Execute tasks through competitive multi-agent generation, meta-judge evaluation specification, multi-judge evaluation, and evidence-based synthesis
원문 언어: 영어
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이 저장소의 skills
SkillsMP는 NeoLabHQ/context-engineering-kit에서 110개의 skill을 수집했습니다. skill을 열어 소스와 세부 정보를 확인하세요.
NeoLabHQ/context-engineering-kit수집된 skill 110개 중 30개를 표시합니다.
Execute tasks through competitive multi-agent generation, meta-judge evaluation specification, multi-judge evaluation, and evidence-based synthesis
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
Create pull requests using GitHub CLI with proper templates and formatting
원문 언어: 영어
Launch a meta-judge then a judge sub-agent to evaluate results produced in the current conversation
원문 언어: 영어
Evaluate solutions through multi-round debate between independent judges until consensus
원문 언어: 영어
Execute tasks through systematic exploration, pruning, and expansion using Tree of Thoughts methodology with meta-judge evaluation specifications and multi-agent evaluation
원문 언어: 영어
Comprehensive guide for skill development based on Anthropic's official best practices - use for complex skills requiring detailed structure
원문 언어: 영어
Comprehensive guide for creating Claude Code agents with proper structure, triggering conditions, system prompts, and validation - combines official Anthropic best practices with proven patterns
원문 언어: 영어
Create and configure git hooks with intelligent project analysis, suggestions, and automated testing
원문 언어: 영어
Create a workflow command that orchestrates multi-step execution through sub-agents with file-based task prompts
원문 언어: 영어
Update and maintain project documentation for local code changes using multi-agent workflow with tech-writer agents. Covers docs/, READMEs, JSDoc, and API documentation.
원문 언어: 영어
Execute complete FPF cycle from hypothesis generation to decision
원문 언어: 영어
Analyze a GitHub issue and create a detailed technical specification
원문 언어: 영어
Add line-specific review comments to pull requests using GitHub CLI API
원문 언어: 영어
Create well-formatted commits with conventional commit messages and emoji
원문 언어: 영어
Load all open issues from GitHub and save them as markdown files
원문 언어: 영어
Comprehensive A3 one-page problem analysis with root cause and action plan
원문 언어: 영어
Auto-selects best Kaizen method (Gemba Walk, Value Stream, or Muda) for target
원문 언어: 영어
Systematic Fishbone analysis exploring problem causes across six categories
원문 언어: 영어
Iterative PDCA cycle for systematic experimentation and continuous improvement
원문 언어: 영어
Iterative Five Whys root cause analysis drilling from symptoms to fundamentals
원문 언어: 영어
Guide for setup arXiv paper search MCP server using Docker MCP
원문 언어: 영어
Guide for setup Codemap CLI for intelligent codebase visualization and navigation
원문 언어: 영어
Guide for setup Context7 MCP server to load documentation for specific technologies.
원문 언어: 영어
Guide for setup Serena MCP server for semantic code retrieval and editing capabilities
원문 언어: 영어
Comprehensive multi-perspective review using specialized judges with debate and consensus building
원문 언어: 영어
Curates insights from reflections and critiques into CLAUDE.md using Agentic Context Engineering
원문 언어: 영어
Reflect on previus response and output, based on Self-refinement framework for iterative improvement with complexity triage and verification
원문 언어: 영어
Generate ideas in one shot using creative sampling
원문 언어: 영어
Systematically fix all failing tests after business logic changes or refactoring
원문 언어: 영어