code-review:review-local-changes
Comprehensive review of local uncommitted changes using specialized agents with code improvement suggestions
code-review:review-pr
Comprehensive pull request review using specialized agents
customaize-agent:agent-evaluation
Evaluate and improve Claude Code commands, skills, and agents. Use when testing prompt effectiveness, validating context engineering choices, or measuring improvement quality.
customaize-agent:apply-anthropic-skill-best-practices
Comprehensive guide for skill development based on Anthropic's official best practices - use for complex skills requiring detailed structure
customaize-agent: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.
customaize-agent: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
customaize-agent:create-command
Interactive assistant for creating new Claude commands with proper structure, patterns, and MCP tool integration
customaize-agent:create-hook
Create and configure git hooks with intelligent project analysis, suggestions, and automated testing
customaize-agent: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.
customaize-agent: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
customaize-agent:create-workflow-command
Create a workflow command that orchestrates multi-step execution through sub-agents with file-based task prompts
customaize-agent:prompt-engineering
Use this skill when you writing commands, hooks, skills for Agent, or prompts for sub agents or any other LLM interaction, including optimizing prompts, improving LLM outputs, or designing production prompt templates.
customaize-agent:test-prompt
Use when creating or editing any prompt (commands, hooks, skills, subagent instructions) to verify it produces desired behavior - applies RED-GREEN-REFACTOR cycle to prompt engineering using subagents for isolated testing
customaize-agent:test-skill
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
customaize-agent: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
ddd:setup-code-formating
Sets up code formatting rules and style guidelines in CLAUDE.md
docs:update-docs
Update and maintain project documentation for local code changes using multi-agent workflow with tech-writer agents. Covers docs/, READMEs, JSDoc, and API documentation.
docs:write-concisely
Apply writing rules to any documentation that humans will read. Makes your writing clearer, stronger, and more professional.
fpf:actualize
Reconcile the project's FPF state with recent repository changes
fpf:decay
Manage evidence freshness by identifying stale decisions and providing governance actions
fpf:propose-hypotheses
Execute complete FPF cycle from hypothesis generation to decision
fpf:query
Search the FPF knowledge base and display hypothesis details with assurance information
fpf:reset
Reset the FPF reasoning cycle to start fresh
fpf:status
Display the current state of the FPF knowledge base
git:analyze-issue
Analyze a GitHub issue and create a detailed technical specification
git:attach-review-to-pr
Add line-specific review comments to pull requests using GitHub CLI API
git:commit
Create well-formatted commits with conventional commit messages and emoji
git:compare-worktrees
Compare files and directories between git worktrees or worktree and current branch
git:create-pr
Create pull requests using GitHub CLI with proper templates and formatting
git:create-worktree
Create and setup git worktrees for parallel development with automatic dependency installation
git:load-issues
Load all open issues from GitHub and save them as markdown files
git:merge-worktree
Merge changes from worktrees into current branch with selective file checkout, cherry-picking, interactive patch selection, or manual merge
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 objects.
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 development with multiple working directories.
kaizen:analyse-problem
Comprehensive A3 one-page problem analysis with root cause and action plan
kaizen:analyse
Auto-selects best Kaizen method (Gemba Walk, Value Stream, or Muda) for target
kaizen:cause-and-effect
Systematic Fishbone analysis exploring problem causes across six categories
kaizen: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.
kaizen:plan-do-check-act
Iterative PDCA cycle for systematic experimentation and continuous improvement
kaizen:root-cause-tracing
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, adding instrumentation when needed, to identify source of invalid data or incorrect behavior
kaizen:why
Iterative Five Whys root cause analysis drilling from symptoms to fundamentals
mcp: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 Node/TypeScript (MCP SDK).
mcp:setup-arxiv-mcp
Guide for setup arXiv paper search MCP server using Docker MCP
mcp:setup-codemap-cli
Guide for setup Codemap CLI for intelligent codebase visualization and navigation
mcp:setup-context7-mcp
Guide for setup Context7 MCP server to load documentation for specific technologies.
mcp:setup-serena-mcp
Guide for setup Serena MCP server for semantic code retrieval and editing capabilities
reflexion:critique
Comprehensive multi-perspective review using specialized judges with debate and consensus building
reflexion:memorize
Curates insights from reflections and critiques into CLAUDE.md using Agentic Context Engineering
reflexion:reflect
Reflect on previus response and output, based on Self-refinement framework for iterative improvement with complexity triage and verification
sadd:do-and-judge
Execute a task with sub-agent implementation and LLM-as-a-judge verification with automatic retry loop
Page 1 of 2 · 69 results