swarm-advanced
Advanced swarm orchestration patterns for research, development, testing, and complex distributed workflows
Swarm Orchestration
Orchestrate multi-agent swarms with agentic-flow for parallel task execution, dynamic topology, and intelligent coordination. Use when scaling beyond single agents, implementing complex workflows, or building distributed AI systems.
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes - four-phase framework (root cause investigation, pattern analysis, hypothesis testing, implementation) that ensures understanding before attempting solutions
test-driven-development
Use when implementing any feature or bugfix, before writing implementation code - write the test first, watch it fail, write minimal code to pass; ensures tests actually verify behavior by requiring failure first
testing-anti-patterns
Use when writing or changing tests, adding mocks, or tempted to add test-only methods to production code - prevents testing mock behavior, production pollution with test-only methods, and mocking without understanding dependencies
testing-skills-with-subagents
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
using-git-worktrees
Use when starting feature work that needs isolation from current workspace or before executing implementation plans - creates isolated git worktrees with smart directory selection and safety verification
verification-before-completion
Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always
Verification & Quality Assurance
Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.
When Stuck - Problem-Solving Dispatch
Dispatch to the right problem-solving technique based on how you're stuck
writing-plans
Use when design is complete and you need detailed implementation tasks for engineers with zero codebase context - creates comprehensive implementation plans with exact file paths, complete code examples, and verification steps assuming engineer has minimal domain knowledge
writing-skills
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
template-skill
Replace with description of the skill and when Claude should use it.
algorithmic-art
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
brand-guidelines
Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.
internal-comms
A set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal communications (status reports, leadership updates, 3P updates, company newsletters, FAQs, incident reports, project updates, etc.).
artifacts-builder
Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.
webapp-testing
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
canvas-design
Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.
data-processor
Process and transform arrays of data with common operations like filtering, mapping, and aggregation
mcp-builder
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).
skill-creator
Guide for creating effective skills. This skill 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.
slack-gif-creator
Toolkit for creating animated GIFs optimized for Slack, with validators for size constraints and composable animation primitives. This skill applies when users request animated GIFs or emoji animations for Slack from descriptions like "make me a GIF for Slack of X doing Y".
theme-factory
Toolkit for styling artifacts with a theme. These artifacts can be slides, docs, reportings, HTML landing pages, etc. There are 10 pre-set themes with colors/fonts that you can apply to any artifact that has been creating, or can generate a new theme on-the-fly.
feature-documenting
Use when implementation complete and tests pass - follow structured workflow with custom patterns
feature-finishing
Use after feature-implementing completes - performs final quality check from fresh context
feature-planning
Use after research (Z01 files exist) to create implementation plan - follow structured workflow
feature-pr-fixing
Use when addressing PR review comments - follow structured workflow
feature-pr-reviewing
Use when reviewing pull request changes - follow structured workflow
feature-implementing
Use to execute implementation plan (Z02 files) in batches - follow structured workflow
feature-researching
Use when change proposal presented - follow structured research workflow to produce directive specification
load-superpowers
Bootstrap superpowers and load required superpowers skills before using feature-* skills that require them.
use-sub-agent
Use when work should be delegated to one or more headless Codex subagents in the same machine session, especially for parallelizable tasks and when reliable launch, timeout, and log-handling behavior is required.
design-production
Creates production-ready design files, prototypes, and specifications for development teams. Translates validated concepts into detailed, implementable designs with comprehensive specs for developers. Produces Figma files (via API), high-fidelity prototypes, design specifications, and animation files.
design-concepts
Creates conceptual designs that illustrate design strategy and approach. Use when user says "mockup", "wireframe", "concept", "mood board", "visual direction", "design options", "explore designs", "UI design", "prototype", "design this", "show me designs", "create a design", "look and feel", or "design variations". Leverages research insights and design briefs to develop UI concepts, mood boards, and interactive prototypes. Do NOT use when user needs to understand users first (use design-research), is reviewing an implemented product (use design-qa), or is writing code.
design-qa
Reviews finished and in-progress digital products to assess adherence to design specifications and discover potential issues. Use when user says "design review", "design QA", "QA review", "check implementation", "visual bugs", "compare to design", "match the specs", "review the build", "before launch", "pre-launch review", "implementation review", "verify design", "design validation", "spacing issues", "visual discrepancies", "accessibility review", "WCAG compliance", or "responsive testing". Validates implementation against design intent, identifies visual and interaction discrepancies, and provides actionable feedback. Do NOT use when still designing concepts (use design-concepts), need to understand users (use design-research), or nothing has been built yet.
design-research
Conducts user experience research and analysis to inform design decisions. Use when user says "user research", "persona", "personas", "who are our users", "target audience", "customer segments", "design principles", "user needs", "pain points", "jobs to be done", "JTBD", "user interviews", "discussion guide", "research plan", "competitive analysis", "understand the users", "user data", or "analytics review". Reviews first-party and third-party user data, analyzes industry trends from UX and visual design perspectives, and plans user research studies. Creates personas, customer segments, design principles, design roadmaps, and research discussion guides. Do NOT use when already have approved personas, in implementation/coding phase, need visual mockups (use design-concepts), or reviewing built product (use design-qa).
ai-partner-chat
基于用户画像和向量化笔记提供个性化对话。当用户需要个性化交流、上下文感知的回应，或希望 AI 记住并引用其之前的想法和笔记时使用。
langgraph-development
专业的LangGraph AI应用开发技能，提供从概念到生产的完整开发指导。基于Context7最新调研，涵盖StateGraph设计、多代理协作、RAG系统实现、生产部署等核心场景。使用此技能构建有状态、多参与者、长期运行的AI代理应用。
algorithmic-art
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
fastapi-templates
Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.
article-extractor
Extract clean article content from URLs (blog posts, articles, tutorials) and save as readable text. Use when user wants to download, extract, or save an article/blog post from a URL without ads, navigation, or clutter.
artifacts-builder
Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.
api-design-principles
Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing API design standards.
architecture-patterns
Implement proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design. Use when architecting complex backend systems or refactoring existing applications for better maintainability.
microservices-patterns
Design microservices architectures with service boundaries, event-driven communication, and resilience patterns. Use when building distributed systems, decomposing monoliths, or implementing microservices.
defi-protocol-templates
Implement DeFi protocols with production-ready templates for staking, AMMs, governance, and lending systems. Use when building decentralized finance applications or smart contract protocols.
nft-standards
Implement NFT standards (ERC-721, ERC-1155) with proper metadata handling, minting strategies, and marketplace integration. Use when creating NFT contracts, building NFT marketplaces, or implementing digital asset systems.
solidity-security
Master smart contract security best practices to prevent common vulnerabilities and implement secure Solidity patterns. Use when writing smart contracts, auditing existing contracts, or implementing security measures for blockchain applications.
web3-testing
Test smart contracts comprehensively using Hardhat and Foundry with unit tests, integration tests, and mainnet forking. Use when testing Solidity contracts, setting up blockchain test suites, or validating DeFi protocols.
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