“context-engine”的搜索结果

Auto-selects best Kaizen method (Gemba Walk, Value Stream, or Muda) for target

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Add line-specific review comments to pull requests using GitHub CLI API

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Analyze a GitHub issue and create a detailed technical specification

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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 Node/TypeScript (MCP SDK).

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Evaluate and improve Claude Code commands, skills, and agents. Use when testing prompt effectiveness, validating context engineering choices, or measuring improvement quality.

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Create well-formatted commits with conventional commit messages and emoji

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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.

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Use to load open/unresolved PR review comments then aggregate them as tasks in .specs/comments/*.md for parallel agents to fix.

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Reconcile the project's FPF state with recent repository changes

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Comprehensive A3 one-page problem analysis with root cause and action plan

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Manage evidence freshness by identifying stale decisions and providing governance actions

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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.

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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

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Interactive assistant for creating new Claude commands with proper structure, patterns, and MCP tool integration

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Systematically fix all failing tests after business logic changes or refactoring

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Systematic Fishbone analysis exploring problem causes across six categories

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Load all open issues from GitHub and save them as markdown files

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Iterative PDCA cycle for systematic experimentation and continuous improvement

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Search the FPF knowledge base and display hypothesis details with assurance information

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Reflect on previus response and output, based on Self-refinement framework for iterative improvement with complexity triage and verification

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Curates insights from reflections and critiques into CLAUDE.md using Agentic Context Engineering

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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.

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Create and configure git hooks with intelligent project analysis, suggestions, and automated testing

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creates draft task file in .specs/tasks/draft/ with original user intent

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