context-engineering-kit

Guide for setup Codemap CLI for intelligent codebase visualization and navigation

Guide for setup arXiv paper search MCP server using Docker MCP

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).

Iterative Five Whys root cause analysis drilling from symptoms to fundamentals

Use when errors occur deep in execution and you need to trace back to find the original trigger - systematically traces bugs backward through call stack, adding instrumentation when needed, to identify source of invalid data or incorrect behavior

Iterative PDCA cycle for systematic experimentation and continuous improvement

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.

Systematic Fishbone analysis exploring problem causes across six categories

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

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

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

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 development with multiple working directories.

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 objects.

Create pull requests using GitHub CLI with proper templates and formatting

Create well-formatted commits with conventional commit messages and emoji

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

Analyze a GitHub issue and create a detailed technical specification

Display the current state of the FPF knowledge base

Reset the FPF reasoning cycle to start fresh

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

Execute complete FPF cycle from hypothesis generation to decision

Manage evidence freshness by identifying stale decisions and providing governance actions

Reconcile the project's FPF state with recent repository changes

Apply writing rules to any documentation that humans will read. Makes your writing clearer, stronger, and more professional.

Update and maintain project documentation for local code changes using multi-agent workflow with tech-writer agents. Covers docs/, READMEs, JSDoc, and API documentation.