@neolabhq

kaizen covers continuous improvement mindset applied to code, design, and systems through four pillars: incremental progress, error-proofing by design, standardized work, and building only what's needed now. includes code examples and anti-patterns.

multi-agent-patterns addresses context bottlenecks and task decomposition by distributing work across focused agent invocations. covers supervisor, peer-to-peer, and hierarchical patterns with emphasis on context isolation over role simulation.

create-command is a meta-skill documenting how to build claude commands with category classification, frontmatter requirements, and pattern research. actual command generation logic is absent.

Use when implementing any feature or bugfix, before writing implementation code - write the test first, watch it fail, write minimal code to pass; ensures…

Use when adding metadata to commits without changing history, tracking review status, test results, code quality annotations, or supplementing commit messages…

Iterative Five Whys root cause analysis drilling from symptoms to fundamentals

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

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

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

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

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

Use this skill when you writing commands, hooks, skills for Agent, or prompts for sub agents or any other LLM interaction, including optimizing prompts,…

Display the current state of the FPF knowledge base

Execute complete FPF cycle from hypothesis generation to decision

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when…

Systematically fix all failing tests after business logic changes or refactoring

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

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

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

Systematic Fishbone analysis exploring problem causes across six categories

Iterative PDCA cycle for systematic experimentation and continuous improvement

Guide for setup Codemap CLI for intelligent codebase visualization and navigation

Systematically add test coverage for all local code changes using specialized review and development agents. Add tests for uncommitted changes (including…

Implement a task with automated LLM-as-Judge verification for critical steps

Launch an intelligent sub-agent with automatic model selection based on task complexity, specialized agent matching, Zero-shot CoT reasoning, and mandatory…

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

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

Create pull requests using GitHub CLI with proper templates and formatting

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

setup-arxiv-mcp — an installable skill for AI agents, published by neolabhq/context-engineering-kit.

Reset the FPF reasoning cycle to start fresh

review-pr — an installable skill for AI agents, published by neolabhq/context-engineering-kit.

Execute tasks through competitive multi-agent generation, meta-judge evaluation specification, multi-judge evaluation, and evidence-based synthesis

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

Manage evidence freshness by identifying stale decisions and providing governance actions

setup-serena-mcp — an installable skill for AI agents, published by neolabhq/context-engineering-kit.

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

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

create-rule — an installable skill for AI agents, published by neolabhq/context-engineering-kit.

Use when creating or editing any prompt (commands, hooks, skills, subagent instructions) to verify it produces desired behavior - applies RED-GREEN-REFACTOR…

Generate ideas in one shot using creative sampling

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…

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

Use when creating or editing skills, before deployment, to verify they work under pressure and resist rationalization - applies RED-GREEN-REFACTOR cycle to…

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,…

Use when working on multiple branches simultaneously, context switching without stashing, reviewing PRs while developing, testing in isolation, or comparing…

Reconcile the project's FPF state with recent repository changes

Comprehensive guide for skill development based on Anthropic's official best practices - use for complex skills requiring detailed structure

Analyze a GitHub issue and create a detailed technical specification

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

subagent-driven-development — an installable skill for AI agents, published by neolabhq/context-engineering-kit.

Create well-formatted commits with conventional commit messages and emoji

Use when creating or developing, before writing code or implementation plans - refines rough ideas into fully-formed designs through collaborative questioning,…

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

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

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

tree-of-thoughts — an installable skill for AI agents, published by neolabhq/context-engineering-kit.

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

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

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

Use when tackling complex reasoning tasks requiring step-by-step logic, multi-step arithmetic, commonsense reasoning, symbolic manipulation, or problems where…

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

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