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