Reconcile the project's FPF state with recent repository changes
원문 언어: 영어
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SkillsMP는 NeoLabHQ/context-engineering-kit에서 110개의 skill을 수집했습니다. skill을 열어 소스와 세부 정보를 확인하세요.
수집된 skill 110개 중 40개를 표시합니다.
Reconcile the project's FPF state with recent repository changes
원문 언어: 영어
creates draft task file in .specs/tasks/draft/ with original user intent
원문 언어: 영어
Evaluate and improve Claude Code commands, skills, and agents. Use when testing prompt effectiveness, validating context engineering choices, or measuring improvement quality.
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
Analyze a GitHub issue and create a detailed technical specification
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
Add line-specific review comments to pull requests using GitHub CLI API
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
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or…
원문 언어: 영어
Systematic Fishbone analysis exploring problem causes across six categories
원문 언어: 영어
Create well-formatted commits with conventional commit messages and emoji
원문 언어: 영어
Understand the components, mechanics, and constraints of context in agent systems. Use when writing, editing, or optimizing commands, skills, or sub-agents prompts.
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
Interactive assistant for creating new Claude commands with proper structure, patterns, and MCP tool integration
원문 언어: 영어
Create and configure git hooks with intelligent project analysis, suggestions, and automated testing
원문 언어: 영어
Generate ideas in one shot using creative sampling
원문 언어: 영어
Create pull requests using GitHub CLI with proper templates and formatting
원문 언어: 영어
Use when found gap or repetative issue, that produced by you or implemenataion agent. Esentially use it each time when you say "You absolutly right, I should have done it differently." -> need create rule for this issue so it not appears again.
원문 언어: 영어
Guide for creating effective skills. This command should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations. Use when creating new skills,…
원문 언어: 영어
Create a workflow command that orchestrates multi-step execution through sub-agents with file-based task prompts
원문 언어: 영어
Comprehensive multi-perspective review using specialized judges with debate and consensus building
원문 언어: 영어
Manage evidence freshness by identifying stale decisions and providing governance actions
원문 언어: 영어
Use before writing any type of tests. Distills 14 industry sources into deterministic decision gates, schemas, and worked test examples.
원문 언어: 영어
Execute a task with sub-agent implementation and LLM-as-a-judge verification with automatic retry loop
원문 언어: 영어
Execute tasks through competitive multi-agent generation, meta-judge evaluation specification, multi-judge evaluation, and evidence-based synthesis
원문 언어: 영어
Run independent tasks concurrently across multiple files or targets using parallel sub-agents, with per-task model selection and LLM-as-a-judge verification. Use when tasks do not depend on each other and can run side by side.
원문 언어: 영어
Execute one complex task as ordered, dependent steps run sequentially, passing context from each step to the next, with per-step LLM-as-a-judge verification. Use when later steps depend on the results of earlier ones.
원문 언어: 영어
Systematically fix all failing tests after business logic changes or refactoring
원문 언어: 영어
Use when adding metadata to commits without changing history, tracking review status, test results, code quality annotations, or supplementing commit messages post-hoc - provides git notes commands and patterns for attaching non-invasive metadata to Git…
원문 언어: 영어
Use when working on multiple branches simultaneously, context switching without stashing, reviewing PRs while developing, testing in isolation, or comparing implementations across branches - provides git worktree commands and workflow patterns for parallel…
원문 언어: 영어
Implement a task step by step with automated LLM-as-Judge verification at the end of each phase
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
Use when Code implementation and refactoring, architecturing or designing systems, process and workflow improvements, error handling and validation. Provide tehniquest to avoid over-engineering and apply iterative improvements.
원문 언어: 영어
Launch an intelligent sub-agent with automatic model selection based on task complexity, specialized agent matching, Zero-shot CoT reasoning, and mandatory self-critique verification
원문 언어: 영어
Load all open issues from GitHub and save them as markdown files
원문 언어: 영어
Use to load open/unresolved PR review comments then aggregate them as tasks in .specs/comments/*.md for parallel agents to fix.
원문 언어: 영어
Curates insights from reflections and critiques into CLAUDE.md using Agentic Context Engineering
원문 언어: 영어
Design multi-agent architectures for complex tasks. Use when single-agent context limits are exceeded, when tasks decompose naturally into subtasks, or when specializing agents improves quality.
원문 언어: 영어