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Found 13,548 Skills
LangChain LLM application framework with chains, agents, RAG, and memory for building AI-powered applications
Complete AI agent operating system setup with Kanban task management. Use when setting up multi-agent coordination, task tracking, or configuring an agent team. Includes theme selection (DBZ, One Piece, Marvel, etc.), workflow enforcement (all tasks through board), browser setup, GitHub integration, and memory enhancement (Supermemory, QMD).
Comprehensive guide for developing Letta agents, including architecture selection, memory design, model selection, and tool configuration. Use when building or troubleshooting Letta agents.
Access paid services (verification, search, AI models, images, audio, browser automation) for AI agents via Sapiom. Use when building agents that need to verify phone/email, search the web, call AI models, generate images, convert text-to-speech, or automate browsers — without setting up vendor accounts.
Build custom React UIs with LiveKit hooks from @livekit/components-react. Use this skill when you need low-level control over agent state, participants, tracks, chat, and data channels. For pre-built UI components, use the livekit-agents-ui skill instead.
Writes agent outputs to numbered thread stage files. Called by agents after domain work completes. Maps agent type to stages, updates frontmatter status, and records completion metadata. Stage 1 (1-input.md) is never written by this skill.
Agent workflow for generating highly diverse creative content using Verbalized Sampling (VS) technique. Use when user requests multiple variations, brainstorming, creative ideas, or when standard prompting produces repetitive outputs. Increases diversity by 1.6-2.1× while maintaining quality. Works for: blog posts, social media captions, stories, campaign ideas, product descriptions, taglines, and open-ended creative tasks.
Chain agents together in sequential or branching workflows with data passing
Create, edit, and refine agent skills through co-development and eval loops. Use for ANY question about skills or request to create/modify them.
Expert knowledge of GitHub Copilot CLI - installation, configuration, usage, MCP servers, skills, custom agents, and troubleshooting. Use when asking about copilot cli, installing copilot, gh copilot, copilot commands, MCP setup, or copilot extensibility.
Comprehensive codebase quality audit with parallel agent orchestration, GitHub issue creation, automated PR generation per issue, and PM-prioritized recommendations. Use for code review, refactoring audits, technical debt analysis, module quality assessment, or codebase health checks.
AG-UI protocol implementation guidance for event ordering (`RUN_STARTED`, `TOOL_CALL_*`, `STATE_SNAPSHOT`/`STATE_DELTA`), streaming semantics, and middleware patterns. Use when integrating agent backends with AG-UI clients.