context-engineering-kit

create-command

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

critique

Comprehensive multi-perspective review using specialized judges with debate and consensus building

actualize

Reconcile the project's FPF state with recent repository changes

plan-do-check-act

Iterative PDCA cycle for systematic experimentation and continuous improvement

review-pr

Comprehensive pull request review using specialized agents

tree-of-thoughts

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

create-skill

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, editing existing skills, or verifying skills work before deployment - applies TDD to process documentation by testing with subagents before writing, iterating until bulletproof against rationalization

launch-sub-agent

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

do-and-judge

Execute a task with sub-agent implementation and LLM-as-a-judge verification with automatic retry loop

create-hook

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

judge

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

create-rule

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.

kaizen

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.

do-in-parallel

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

load-issues

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

create-ideas

Generate ideas in one shot using creative sampling

reset

Reset the FPF reasoning cycle to start fresh

thought-based-reasoning

Use when tackling complex reasoning tasks requiring step-by-step logic, multi-step arithmetic, commonsense reasoning, symbolic manipulation, or problems where simple prompting fails - provides comprehensive guide to Chain-of-Thought and related prompting techniques (Zero-shot CoT, Self-Consistency, Tree of Thoughts, Least-to-Most, ReAct, PAL, Reflexion) with templates, decision matrices, and research-backed patterns

create-workflow-command

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

setup-arxiv-mcp

Guide for setup arXiv paper search MCP server using Docker MCP

subagent-driven-development

Use when executing implementation plans with independent tasks in the current session or facing 3+ independent issues that can be investigated without shared state or dependencies - dispatches fresh subagent for each task with code review between tasks, enabling fast iteration with quality gates

analyze-issue

Analyze a GitHub issue and create a detailed technical specification

judge-with-debate

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

do-in-steps

Execute complex tasks through sequential sub-agent orchestration with intelligent model selection, meta-judge → LLM-as-a-judge verification

setup-context7-mcp

Guide for setup Context7 MCP server to load documentation for specific technologies.