Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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linear
Manage Linear issues via GraphQL API. List, filter, update, prioritize, comment, and search issues. Use when the user asks about Linear, issues, project management, or backlog.
letta-ai/skills 77
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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.
letta-ai/skills 77
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imessage
Send and read iMessages/SMS from macOS. Use for texting contacts, scheduling services, or automating message-based workflows. Triggers on queries about texting, messaging, SMS, iMessage, or contacting someone via text.
letta-ai/skills 77
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slack
Search messages, read threads, and send messages in Slack. Use when looking up discussions, finding context about a topic, or sending notifications to channels.
letta-ai/skills 77
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ai-news
Fetch and summarize recent AI news from curated RSS feeds (Hugging Face, VentureBeat, The Verge, OpenAI, Anthropic, DeepMind, etc.) and YouTube channels (Yannic Kilcher, Two Minute Papers, AI Explained, etc.). Also fetches full transcripts for specific YouTube videos. Use when the user asks about recent AI news, what's happened in AI lately, summaries of AI research or product announcements, or wants a digest of what's going on in the AI space.
letta-ai/skills 77
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skill-development
Create and contribute skills to the communal knowledge base. Use when creating new skills, updating existing skills, or contributing learnings back to the repository.
letta-ai/skills 77
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letta-fleet-management
Manage Letta AI agent fleets declaratively with kubectl-style CLI. Use when creating, updating, or managing multiple Letta agents with shared configurations, memory blocks, tools, folders, canary deployments, multi-tenancy, and bulk operations.
letta-ai/skills 77
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letta-api-client
Build applications with the Letta API — a model-agnostic, stateful API for building persistent agents with memory and long-term learning. Covers SDK patterns for Python and TypeScript. Includes 24 working code examples.
letta-ai/skills 77
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letta-development-guide
Comprehensive guide for developing Letta agents, including architecture selection, memory design, model selection, and tool configuration. Use when building or troubleshooting Letta agents.
letta-ai/skills 77
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Letta Conversations API
Guide for using the Letta Conversations API to manage isolated message threads on agents. Use when building multi-user chat applications, session management, or any scenario requiring separate conversation contexts on a single agent.
letta-ai/skills 77
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letta-configuration
Configure LLM models and providers for Letta agents and servers. Use when setting model handles, adjusting temperature/tokens, configuring provider-specific settings, setting up BYOK providers, or configuring self-hosted deployments with environment variables.
letta-ai/skills 77
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learning-sdk-integration
Integration patterns and best practices for adding persistent memory to LLM agents using the Letta Learning SDK
letta-ai/skills 77
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trello-cli
ZenoxZX/trello-cli 20
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mcp-tool-selection
Decision rules for when to use MCP Qdrant-Indexer semantic search vs grep/literal file tools. Use this skill when starting exploration, debugging, or answering "where/why" questions about code.
Context-Engine-AI/Context-Engine 380
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context-engine
Performs hybrid semantic/lexical search with neural reranking for codebase retrieval. Use for finding implementations, Q&A grounded in source code, and cross-session persistent memory.
Context-Engine-AI/Context-Engine 380
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context-engine
Performs hybrid semantic/lexical search with neural reranking for codebase retrieval. Use for finding implementations, Q&A grounded in source code, and cross-session persistent memory.
Context-Engine-AI/Context-Engine 380
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prose
Chronicle writing, research transmission, and prose lens application.
Use when: writing chronicle chapters, surveying git history for chapters,
transmitting research arcs, applying narrator or wanderer lenses,
diagnosing scribe system, rewinding chapters, configuring visual style.
Consolidates qino-scribe, qino-lens, and qino-relay.
qinolabs/qino-claude
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adventure
Multi-perspective design exploration through emergent dialogue.
Seven personas explore a challenge; questions emerge from what actually shapes the conversation.
ACTIVATE:
- "/design-adventure [challenge]", "run a design adventure", "explore this design challenge"
- "design adventure about [topic]", "seven perspectives on [challenge]"
qinolabs/qino-claude
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art
Complete visual content system.
Tron-meets-Excalidraw aesthetic - dark backgrounds, neon accents, hand-drawn sketch style.
qinolabs/qino-claude
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qino
Ecology for developing ideas through concept exploration, research, and implementation.
ACTIVATE for dev work:
- "what's next for [app]", "continue [app]", "work on [app]"
- "build [feature]", "implement [feature]", "plan the iteration"
- "read the implementation notes", "what's the iteration status"
- "what should I build next", "next steps for [project]"
ACTIVATE for bug tracking:
- "file a bug", "log this bug", "create a bug ticket", "bug in [app]"
- "/qino bug"
ACTIVATE for concept work:
- "explore [concept]", "go deeper into [idea]", "where am I", "what's here"
- "capture this thought", "hold this", "note this"
- "test through ecology", "compare these", "attune [quality]"
ACTIVATE for navigation:
- "use the active navigator", "activate navigator", "navigate [territory]"
- "map this concept", "show me the terrain", "map the terrain for [territory]"
- "update the navigator", "log this session"
ACTIVATE for research:
- "start research on [topic]", "investigate [question]", "begin inquiry"
ACTIVATE for lab mode (UI-mediated communication):
- "use the lab", "lab mode", "work through qino-lab"
ACTIVATE when in qino workspace (has .claude/qino-config.json).
NOT implicit: arc capture requires explicit invocation ("/qino arc" or "capture an arc").
qinolabs/qino-claude
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managing-temp-scripts
Create and execute temporary scripts (Python, Node.js, shell) during workflow execution for API integrations, data processing, and custom tools. Use when user needs to interact with external APIs, process data with specific libraries, or create temporary executable code.
mbruhler/claude-orchestration 201
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creating-workflows-from-description
Use when user describes complex multi-step tasks that could benefit from orchestration - guides natural language workflow creation
mbruhler/claude-orchestration 201
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orchestration:creating-workflows
Use when user says "create workflow", "create a workflow", "design workflow", "orchestrate", "automate multiple steps", "coordinate agents", "multi-agent workflow". Creates orchestration workflows from natural language using Socratic questioning to plan multi-agent workflows with visualization.
mbruhler/claude-orchestration 201
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managing-agents
Manages temporary and defined agents including creation, promotion, cleanup, and namespacing. Use when user creates custom agents, asks about agent lifecycle, temp agents, or agent management.
mbruhler/claude-orchestration 201