python-log-expert
Expert guidance for Python logging libraries including structlog, standard logging, and log analysis. Use when working with Python logs, troubleshooting logging issues, implementing logging best practices, or analyzing structlog source code implementation. Includes complete structlog source code in source/structlog/ for deep implementation analysis. Requires structlog package.
vercel-react-best-practices
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
uv-expert
Expert guidance for uv Python package and project manager. Use when working with uv, Python dependency management, project setup, virtual environments, or when users mention uv commands, pip alternatives, or fast Python package management.
rust-cli-tui-developer
Expert guidance for Rust CLI and TUI development with official examples from clap, inquire, and ratatui libraries. Use when building command-line interfaces, terminal user interfaces, or console applications in Rust. Provides structured patterns, best practices, and real code implementations from official sources.
langgraph-python-expert
Expert guidance for LangGraph Python library. Build stateful, multi-actor applications with LLMs using nodes, edges, and state management. Use when working with LangGraph, building agent workflows, state machines, or complex multi-step LLM applications. Requires langgraph, langchain-core packages.
python-expert-tester
Expert guidance for Python testing that analyzes your existing setup and provides evidence-based recommendations. I'll examine your current tests, configurations, and dependencies before suggesting changes. Use when writing tests, improving coverage, debugging issues, or optimizing testing setup.
feishu-openapi-dev
Expert guidance for Feishu (飞书) / Lark OpenAPI Python development. Build Feishu applications, robots, handle event subscriptions, card callbacks, and API integrations. Use when working with Feishu SDK, lark-oapi, building Feishu bots, or mentioning 飞书 development.
agent-skills-expert
Expert for creating and managing Claude Code Agent Skills. Create skills with git submodule + sparse-checkout for source references, write SKILL.md with proper frontmatter, and follow best practices. Use when creating new skills, adding source references to skills, or managing skill configurations.
web-design-guidelines
Review UI code for Web Interface Guidelines compliance. Use when asked to "review my UI", "check accessibility", "audit design", "review UX", or "check my site against best practices".
vscode-extension-builder
Comprehensive VSCode extension development expert that guides you through creating extensions using the official Yeoman generator tool. Provides interactive setup, configuration guidance, and development workflow support. Covers scaffolding with yo code, extension anatomy, debugging, testing, publishing, and API reference. Features primary access to complete VS Code API documentation at `@source/vscode-docs/api/` for authoritative reference. Use when starting new VSCode extensions, setting up development environment, configuring extension manifests, debugging extensions, or when mentioning VSCode extension creation, TypeScript extensions, plugin development, or editor customization. Built with official VS Code documentation, generator best practices, and complete API reference.
diff-since-my-commit
Show changes to a git branch since your last commit, filtered to only files you touched. Use when user asks to see what others changed on their branch, review changes since they last committed, or compare their work against upstream modifications. Triggers on requests like "what changed on my branch", "show me the diff since my commit", "what did others change to my files", or "review changes to my PR".
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.
skill-creator-multi
Guide for creating multi-phase skills with orchestrated sequential execution. Use when user wants to create a skill that runs multiple steps in sequence (like gap-finder), needs a start-* orchestrator pattern, or asks about multi-step/multi-phase skill architecture.
skill-spec-generator
Generate structured skill specifications for independent skill creators. Use when asked to ideate, brainstorm, or specify multiple skills for a domain, workflow, or problem space. Outputs self-contained specs with list-level context so each skill can be built independently. Triggers on requests like "what skills would help with X", "generate skill ideas for Y", "specify skills to cover Z workflow".
agent-report
Extract and display the final message from a Claude agent JSONL file. Use when the user wants to see an agent report, view agent output, extract agent results, check what an agent produced, or read the final response from a subagent. Triggers on requests like "show me agent report", "what did agent X produce", "extract agent output", "view agent results", or "get the report from agent ad42ecb".
python-file-splitter
Split large Python files into multiple files organized as a package. Use when user says "split this file", "this file is too big", "break this into multiple files", or similar requests for Python (.py) files.
vector-databases
Vector database selection, indexing strategies, and semantic search optimization.
agent-frameworks
AI agent development with LangChain, CrewAI, AutoGen, and tool integration patterns.
model-deployment
LLM deployment strategies including vLLM, TGI, and cloud inference endpoints.
rag-systems
Retrieval Augmented Generation systems with vector search, document processing, and hybrid retrieval.
llm-basics
LLM architecture, tokenization, transformers, and inference optimization. Use for understanding and working with language models.
prompt-engineering
Prompt design, optimization, few-shot learning, and chain of thought techniques for LLM applications.
evaluation-metrics
LLM evaluation frameworks, benchmarks, and quality metrics for production systems.
fine-tuning
LLM fine-tuning with LoRA, QLoRA, and instruction tuning for domain adaptation.
aws-ec2-deployment
Launch, configure, and manage EC2 instances with best practices
aws-cloudwatch
Implement monitoring, alerting, and observability with CloudWatch
aws-rds-setup
Deploy and configure RDS/Aurora databases with HA and security
aws-cost-optimization
Optimize AWS costs through resource rightsizing and savings strategies
aws-codepipeline
Build automated CI/CD pipelines with CodePipeline and CodeBuild
aws-ecs
Deploy and manage containerized applications on ECS/Fargate
aws-lambda-functions
Build optimized serverless functions with Lambda
aws-security-best-practices
Implement comprehensive AWS security controls and compliance
aws-s3-management
Configure S3 buckets with security, lifecycle, and replication policies
aws-vpc-design
Design and implement production-grade VPC architectures
aws-cloudformation
Infrastructure as Code with CloudFormation templates and stacks
aws-iam-setup
Configure AWS IAM users, roles, policies, and identity federation
docker-multi-stage
Multi-stage builds for optimized, minimal production images with build/runtime separation
docker-compose-setup
Set up multi-container applications with Docker Compose including services, networks, and volumes
docker-ci-cd
Docker integration with CI/CD pipelines for automated builds, testing, and deployments
docker-networking
Configure Docker networking for containers including bridge, overlay, and service discovery
dockerfile-basics
Learn Dockerfile fundamentals and best practices for building production-ready container images
docker-debugging
Container debugging and troubleshooting techniques for production issues
docker-optimization
Optimize Docker images and containers for size, build speed, and runtime performance
docker-production
Deploy Docker containers to production with monitoring, logging, and health checks
docker-registry
Private registry setup, image management, and multi-registry operations
docker-security
Secure Docker containers and images with hardening, scanning, and secrets management
docker-swarm
Docker Swarm orchestration, cluster management, and production deployments
docker-volumes
Implement persistent storage with Docker volumes, bind mounts, and backup strategies
agent-design
AI agent design and tool-use prompting patterns
prompt-injection
Prompt injection attack prevention and defense
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