NeoLabHQ/context-engineering-kit

actualize

Reconcile the project's FPF state with recent repository changes

add-task

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

agent-evaluation

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

analyse-problem

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

analyse

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

analyze-issue

Analyze a GitHub issue and create a detailed technical specification

apply-anthropic-skill-best-practices

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

attach-review-to-pr

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

brainstorm

Use when creating or developing, before writing code or implementation plans - refines rough ideas into fully-formed designs through collaborative questioning, alternative exploration, and incremental validation. Don't use during clear 'mechanical' processes

build-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…

cause-and-effect

Systematic Fishbone analysis exploring problem causes across six categories

commit

Create well-formatted commits with conventional commit messages and emoji

context-engineering

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

create-agent

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-command

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

create-hook

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

create-ideas

Generate ideas in one shot using creative sampling

create-pr

Create pull requests using GitHub CLI with proper templates and formatting

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.

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,…

create-workflow-command

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

critique

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

decay

Manage evidence freshness by identifying stale decisions and providing governance actions

design-testing-strategy

Use before writing any type of tests. Distills 14 industry sources into deterministic decision gates, schemas, and worked test examples.

do-and-judge

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

do-competitively

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

do-in-parallel

Run independent tasks concurrently across multiple files or targets using parallel sub-agents, with per-task model selection and LLM-as-a-judge verification. Use when tasks do not depend on each other and can run side by side.

do-in-steps

Execute one complex task as ordered, dependent steps run sequentially, passing context from each step to the next, with per-step LLM-as-a-judge verification. Use when later steps depend on the results of earlier ones.

fix-tests

Systematically fix all failing tests after business logic changes or refactoring

git-notes

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…

git-worktrees

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…

implement-task

Implement a task step by step with automated LLM-as-Judge verification at the end of each phase

judge

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

judge-with-debate

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

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.

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

load-issues

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

load-pr-comments

Use to load open/unresolved PR review comments then aggregate them as tasks in .specs/comments/*.md for parallel agents to fix.

memorize

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

multi-agent-patterns

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.