git:create-worktree
Create and setup git worktrees for parallel development with automatic dependency installation
git:create-pr
Create pull requests using GitHub CLI with proper templates and formatting
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.
git:compare-worktrees
Compare files and directories between git worktrees or worktree and current branch
git:commit
Create well-formatted commits with conventional commit messages and emoji
git:attach-review-to-pr
Add line-specific review comments to pull requests using GitHub CLI API
git:analyze-issue
Analyze a GitHub issue and create a detailed technical specification
fpf:status
Display the current state of the FPF knowledge base
fpf:reset
Reset the FPF reasoning cycle to start fresh
fpf:query
Search the FPF knowledge base and display hypothesis details with assurance information
fpf:propose-hypotheses
Execute complete FPF cycle from hypothesis generation to decision
fpf:decay
Manage evidence freshness by identifying stale decisions and providing governance actions
fpf:actualize
Reconcile the project's FPF state with recent repository changes
docs:write-concisely
Apply writing rules to any documentation that humans will read. Makes your writing clearer, stronger, and more professional.
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.
ddd:setup-code-formating
Sets up code formatting rules and style guidelines in CLAUDE.md
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
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: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: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:create-workflow-command
Create a workflow command that orchestrates multi-step execution through sub-agents with file-based task prompts
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-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-hook
Create and configure git hooks with intelligent project analysis, suggestions, and automated testing
customaize-agent:create-command
Interactive assistant for creating new Claude commands with proper structure, patterns, and MCP tool integration
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: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:apply-anthropic-skill-best-practices
Comprehensive guide for skill development based on Anthropic's official best practices - use for complex skills requiring detailed structure
code-review:review-pr
Comprehensive pull request review using specialized agents
code-review:review-local-changes
Comprehensive review of local uncommitted changes using specialized agents with code improvement suggestions
kool-cli
Docker development environment CLI. Use for managing containers (start/stop/restart), executing commands in services, viewing logs, and running project scripts from kool.yml.
knowledge-worker-salaries
Comprehensive global knowledge worker salary data with total market value calculations, sector breakdowns, geographic comparisons, and authoritative sources. USE WHEN discussing knowledge worker compensation, salary benchmarking, economic analysis of professional labor markets, or AI impact on wages.
cloudflare
Comprehensive Cloudflare platform skill covering Workers, Pages, storage (KV, D1, R2), AI (Workers AI, Vectorize, Agents SDK), networking (Tunnel, Spectrum), security (WAF, DDoS), and infrastructure-as-code (Terraform, Pulumi). Use for any Cloudflare development task.
octocode-research
This skill should be used when the user asks to "research code", "how does X work", "where is Y defined", "who calls Z", "trace code flow", "find usages", "review a PR", "explore this library", "understand the codebase", or needs deep code exploration. Handles both local codebase analysis (with LSP semantic navigation) and external GitHub/npm research using Octocode tools.
octocode-local-search
Local codebase exploration & search
octocode-prompt-optimizer
Activate when user provides a prompt, SKILL.md, or agent instruction and requests optimization. Transforms weak instructions into reliable, enforceable agent protocols.
octocode-documentaion-writer
Generate comprehensive documentation with intelligent orchestration and parallel execution
octocode-roast
Brutally honest roasts of your code with fixes
octocode-implement
Implement features from spec documents (context/doc required)
octocode-pr-review
PR review for bugs, security & quality (requires PR URL)
octocode-plan
Adaptive research & implementation planning with evidence-based execution
btca-cli
Install, configure, and operate the btca CLI for local resources and source-first answers. Use when setting up btca in a project, connecting a provider, adding or managing resources, and asking questions via btca commands. Invoke this skill when the user says "use btca" or needs to do more detailed research on a specific library or framework.
ralph-copywriter
Use this skill when the user asks to "analyze my content", "learn my writing style", "research competitors", "find content angles", "improve my blog", "write like me", "embody my brand voice", or mentions content strategy, voice analysis, competitive research, or iterative content improvement.
design-lab
Conduct design interviews, generate five distinct UI variations in a temporary design lab, collect feedback, and produce implementation plans. Use when the user wants to explore UI design options, redesign existing components, or create new UI with multiple approaches to compare.
superpowers-workflow
Enforces a disciplined workflow for coding, debugging, refactoring, and automation: brainstorm -> plan -> implement with verification (prefer TDD) -> review -> finish. Use for almost any non-trivial change.
superpowers-brainstorm
Produces a structured brainstorm: goals, constraints, risks, options, recommendation, and acceptance criteria. Use before non-trivial implementation or design changes.
superpowers-debug
Systematic debugging: reproduce, isolate, form hypotheses, instrument, fix, and add regression tests. Use when troubleshooting errors, failing tests, or unexpected behavior.
superpowers-finish
Finalizes work: runs verification, summarizes changes, notes follow-ups, and ensures repo hygiene. Use at the end of an implementation or debugging session.
superpowers-plan
Writes an implementation plan with small steps, exact files to touch, and verification commands. Use before making non-trivial changes.
superpowers-python-automation
Implements reliable automations in Python for REST APIs: httpx/requests patterns, retries, timeouts, pagination, typing, config, logging, and tests. Use when writing Python scripts/services that call external APIs.
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