context-engineering-kit

Generate ideas in one shot using creative sampling

Analyze a GitHub issue and create a detailed technical specification

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).

Guide for setup Codemap CLI for intelligent codebase visualization and navigation

Create a workflow command that orchestrates multi-step execution through sub-agents with file-based task prompts

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

Refine, parallelize, and verify a draft task specification into a fully planned implementation-ready task

Comprehensive review of local uncommitted changes using specialized agents with code improvement suggestions

Launch a meta-judge then a judge sub-agent to evaluate results produced in the current conversation

Comprehensive pull request review using specialized agents

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.

Understand the components, mechanics, and constraints of context in agent systems. Use when writing, editing, or optimizing commands, skills, or sub-agents prompts.

Launch multiple sub-agents in parallel to execute tasks across files or targets with intelligent model selection, quality-focused prompting, and meta-judge → LLM-as-a-judge verification

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

Comprehensive guide for creating Claude Code agents with proper structure, triggering conditions, system prompts, and validation - combines official Anthropic best practices with proven patterns

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

Evaluate solutions through multi-round debate between independent judges until consensus

Create pull requests using GitHub CLI with proper templates and formatting

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.

Use when creating or editing skills, before deployment, to verify they work under pressure and resist rationalization - applies RED-GREEN-REFACTOR cycle to process documentation by running baseline without skill, writing to address failures, iterating to close loopholes

Systematic Fishbone analysis exploring problem causes across six categories

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.

Execute tasks through systematic exploration, pruning, and expansion using Tree of Thoughts methodology with meta-judge evaluation specifications and multi-agent evaluation

Display the current state of the FPF knowledge base

Systematically add test coverage for all local code changes using specialized review and development agents. Add tests for uncommitted changes (including untracked files), or if everything is commited, then will cover latest commit.