Find the perfect capability for your agent.
Build AI agents with the Strands Agents SDK, an open-source framework from AWS. Use when building autonomous agents, creating custom tools with @tool decorator, orchestrating multi-agent systems (swarm, graph, agents-as-tools), integrating MCP servers, or deploying agents to production. Supports Amazon Bedrock, Anthropic API, OpenAI, Ollama, and other model providers.
Create custom Claude Code sub-agents with specialized expertise and tool access. Use when you need to build reusable agents for specific tasks like code review, debugging, data analysis, or domain-specific workflows.
Use when the user wants to create, edit, list, or manage Claude Code rules in .claude/rules/. Provides guided elicitation to configure path-specific rules with proper YAML frontmatter and glob patterns. Can list all available rules from user-level and project directories.
Build MCP servers for integrating external APIs with AI agents
Troubleshooting guide for Claude Code issues. Use when Claude behaves unexpectedly, tools fail, sessions hang, or you need to diagnose problems. Covers diagnostics, common issues, and recovery procedures.
Search conversation history for research context - papers discussed, citations analyzed, discoveries made, or questions explored.
Creates production-grade, reusable skills that extend Claude's capabilities. This skill should be used when users want to create a new skill, improve an existing skill, or build domain-specific intelligence. Gathers context from codebase, conversation, and authentic sources before creating adaptable skills.
List available vLLM nightly builds and update config/models.yaml to pin a specific version. Use when user wants to browse nightlies, pin a specific vLLM version, or update vLLM nightly config.
This skill should be used when the user asks about "JSON flags", "token IDs", "cross-tool references", "progressive detail", "response optimization", "human and LLM readable", "automation flags", "confidence-based detail", or discusses optimizing MCP responses for both human and machine consumption. Provides patterns for human/LLM readable responses with automation-friendly structures.
Multi-agent brainstorming with Critic, Creative, and Pragmatist perspectives
Create distinctive, production-grade web interfaces with high design quality. Use for components, pages, dashboards, and full applications that need to stand out from generic AI aesthetics.
Scaffolds a new Python agent for autonomous AI tasks in 'src/agents/'. Agents are autonomous components that handle complex operations (resume analysis, job matching, KSC generation). Use when asked to create a new AI agent or automation component.
Create Claude Code sub-agents with optimal configuration. Use when users ask to create a new agent, custom agent, specialized assistant, or want to configure task-specific AI workflows.
Enterprise AI security - OWASP LLM Top 10, prompt injection defense, guardrails, PII protection
This skill should be used when the user wants to "create a skill", "add a skill to plugin", "write a new skill", "improve skill description", "organize skill content", or needs guidance on skill structure, progressive disclosure, or skill development best practices for Claude Code plugins.
Expert in Retrieval-Augmented Generation systems - knowledge bases, chunking strategies, embedding optimization, and production RAG architectures
AI agent orchestrates parallel task execution through concurrent specialized agents for maximum efficiency. Use when tasks can run independently, multi-concern reviews, or parallel exploration.
Creates Model Context Protocol servers with tools, resources, and prompts for AI assistant integration. Use when extending Claude with custom capabilities, building AI tool integrations, or exposing APIs to AI assistants.
Test specifications for SEO & LLM Optimizer WordPress plugin. Use when testing the SEO & LLM Optimizer plugin, verifying Copy for AI functionality, or checking markdown/RAG export features.
