Context Engineering Kit

Prompt Engineering

Write better prompts to get smarter results from any AI model every time

Context Engineering

Write better prompts and optimize context for AI agents that perform reliably

Thought Based Reasoning

Guide AI agents through complex reasoning with step by step thinking techniques

Reflect

A ruthless quality gatekeeper that finds flaws and prevents bad work from shipping

Brainstorm

Turn rough ideas into clear designs through simple step by step conversation

Update Docs

Keep project docs fresh with every code change automatically

Subagent Driven Development

Use a new subagent per task and review code for fast high-quality results

Multi Agent Patterns

Design multi-agent systems to handle complex tasks by dividing work among specialists

Critique

Expert judges review your work, debate findings, and reach consensus

Memorize

Help your AI agent learn from the past and get better every time

Kaizen

Make small improvements every day to build better code and systems

Test Driven Development

Write failing tests first then code to pass them for reliable software

Root Cause Tracing

Find the real source of bugs by tracing backward through the call chain

Judge With Debate

Multi-judge debate evaluates solutions through evidence-based argument until consensus

Plan Task

Turn rough task drafts into detailed plans with parallel analysis and quality checks

Write Concisely

Apply timeless rules to write clearer, stronger, and more professional documents

Agent Evaluation

Evaluate and improve AI agents with robust methods and outcome-focused rubrics

Do In Parallel

Run multiple AI agents in parallel to work on files and tasks simultaneously

Implement Task

Automate your task implementation with built-in quality checks at every step

Do In Steps

Break down complex tasks into smaller steps with sub-agents and automatic verification

Add Task

Turn your task ideas into draft files quickly and easily

Analyse

Pick the right Kaizen method to analyze code workflows and waste

Launch Sub Agent

Dispatch smart sub-agents that choose the right model and verify their own work

Analyse Problem

Solve any problem in one page with clear root cause and action plan

Review Local Changes

Review local uncommitted changes with expert agents and get improvement suggestions

Create Ideas

Get six balanced ideas from obvious to wild for any topic

Setup Serena Mcp

Set up Serena MCP for fast semantic code analysis and editing in your projects

Write Tests

Automatically add test coverage for your local code changes without hassle

Why

Ask why five times to uncover the real root cause of any problem

Do And Judge

Use an AI judge to verify task quality and retry with feedback.

Fix Tests

Automatically fix failing tests after code changes with smart agents

Commit

Write perfect git commits with emoji and conventional messages every time

Judge

A two-phase evaluation pipeline gives you structured evidence-based feedback on your work

Create Skill

Build AI skills by testing with subagents first then writing documentation

Tree Of Thoughts

Explore, prune, expand and synthesize to find the best solution for complex tasks

Do Competitively

Create better results by having multiple AI agents compete and combine their best ideas

Test Skill

Test agent skills by watching failures first then writing rules to stop them

Test Prompt

Test your prompts before deployment using isolated subagents and a simple TDD cycle

Create Rule

Stop repeated agent mistakes with clear contrastive rules that load every session

Analyze Issue

Easily analyze GitHub issues and create detailed technical specifications for development

Apply Anthropic Skill Best Practices

Write clear skills with Anthropic's best practices for naming and describing

Actualize

Keep your project knowledge in sync with every code change automatically

Review Pr

Automated pull request review with expert agents for clean code

Plan Do Check Act

Improve step by step with the Plan-Do-Check-Act cycle for any goal

Create Pr

Create pull requests using GitHub CLI with proper templates and best practices

Cause And Effect

Systematically find root causes of problems using fishbone analysis across six categories

Attach Review To Pr

Add line-specific review comments to pull requests with GitHub CLI

Create Agent

Build autonomous Claude Code agents for complex multi-step tasks with proven patterns

Create Hook

Set up git hooks that check your code and catch issues automatically

Create Command

Your assistant for building Claude commands with correct patterns and MCP integration

Propose Hypotheses

Generate competing hypotheses then verify logic and evidence to make a sound decision

Load Issues

Save all open GitHub issues as markdown files for easy local reference

Build Mcp

A step by step guide to create MCP servers for AI agents

Git Worktrees

Work on multiple Git branches at once without stashing or cloning

Decay

Check evidence freshness and act on stale decisions safely

Query

Search and explore verified hypotheses with assurance scores and dependency trees

Reset

Reset your reasoning process to start fresh with session archives

Status

See the current state of your FPF knowledge base at a glance

Setup Codemap Cli

Set up Codemap CLI to visualize and navigate any codebase quickly

Create Workflow Command

Break complex tasks into clear steps for AI agents to follow one at a time

Setup Arxiv Mcp

Setup academic paper search with Docker MCP for arXiv PubMed and more

Setup Context7 Mcp

Set up Context7 MCP to load fresh docs for your tech stack

Git Notes

Attach notes to Git commits for reviews, tests, and annotations without changing history

Sddplan

Refine draft tasks into parallel-ready plans with automated quality checks