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Found 2,174 Skills
Guide for decomposing large tasks into executable steps, managing dependencies and priorities, and distributing work across agents. Includes TodoList integration patterns.
This skill should be used when creating custom agents for Claude Code, configuring specialized AI assistants, or when the user asks about agent creation, agent configuration, or delegating tasks to workers. Covers both file-based agents and teams delegation.
Set up the Pica CLI and MCP server so AI agents can interact with Gmail, Slack, HubSpot, Stripe, and 200+ platforms. Handles installation, initialization, and first connection.
Agent-first project documentation. Scaffolds and maintains a documentation architecture designed for AI agents — ROADMAP, design-docs, logs, and more. Use when the user says "/docs", asks to set up project documentation, wants to update docs, or when starting a new project that lacks documentation structure. Also use when the user asks to plan a feature (creates a design doc) or review what's been done (updates logs/roadmap).
Writing conventions for scannable, token-efficient skills and prompts. Use when creating or reviewing SKILL.md files, AGENTS.md files, or any markdown-based agent instruction documents.
Guide for Claude Agent SDK - build custom AI agents powered by Claude. Covers installation, authentication providers, tool permissions, file-based configuration, TypeScript/Python code examples, and project scaffolding templates.
Persistent local memory for AI agents. Use when starting a new session, when the user mentions remembering something, when you need project context, when making architecture decisions, or when working with other agents on the same project.
Guide AI agents in creating AppiumLibrary tests for iOS and Android native apps, hybrid apps, and mobile browsers. Load when asked about mobile testing, Appium, or mobile app automation.
Patterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when: - Building AI agents that call external tools (APIs, databases, file systems) - Implementing policy-based access controls for agent tool usage - Adding semantic intent classification to detect dangerous prompts - Creating trust scoring systems for multi-agent workflows - Building audit trails for agent actions and decisions - Enforcing rate limits, content filters, or tool restrictions on agents - Working with any agent framework (PydanticAI, CrewAI, OpenAI Agents, LangChain, AutoGen)
Comprehensive knowledge of Microsoft Agent Framework for building production AI agents and workflows. Auto-activates for agent building, workflow design, AutoGen migration, and enterprise AI tasks.
Execute orchestrate multi-agent systems with handoffs, routing, and workflows across AI providers. Use when building complex AI systems requiring agent collaboration, task delegation, or workflow coordination. Trigger with phrases like "create multi-agent system", "orchestrate agents", or "coordinate agent workflows".
Build LLM applications using Dify's visual workflow platform. Use when creating AI chatbots, implementing RAG pipelines, developing agents with tools, managing knowledge bases, deploying LLM apps, or building workflows with drag-and-drop. Supports hundreds of LLMs, Docker/Kubernetes deployment.