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All Skills

Total 56,633 skills, AI & Machine Learning has 9429 skills

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Showing 12 of 9429 skills

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AI & Machine Learningaaaaqwq/claude-code-skill...

agent-team-orchestration

Orchestrate multi-agent teams with defined roles, task lifecycles, handoff protocols, and review workflows. Use when: (1) Setting up a team of 2+ agents with different specializations, (2) Defining task routing and lifecycle (inbox → spec → build → review → done), (3) Creating handoff protocols between agents, (4) Establishing review and quality gates, (5) Managing async communication and artifact sharing between agents.

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15
AI & Machine Learningaffaan-m/everything-claud...

deep-research

Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.

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15
AI & Machine Learningmarswaveai/skills

tts

Text-to-speech and voice narration. Triggers on: "朗读这段", "配音", "TTS", "语音合成", "text to speech", "read this aloud", "convert to speech", "voice narration", "read aloud".

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15
AI & Machine Learningmarswaveai/skills

image-gen

Generate AI images from text prompts. Triggers on: "生成图片", "画一张", "AI图", "generate image", "配图", "create picture", "draw", "visualize", "generate an image".

🇺🇸|EnglishTranslated
15
AI & Machine Learningagentera/agently-skills

agently-langgraph-to-triggerflow

Use when a migration is already known to stay on the LangGraph orchestration side, including stages, routing, checkpoints, interrupts, persistence, streaming, and subgraph boundaries.

🇺🇸|EnglishTranslated
15
AI & Machine Learninganthropics/knowledge-work...

call-summary

Process call notes or a transcript — extract action items, draft follow-up email, generate internal summary. Use when pasting rough notes or a transcript after a discovery, demo, or negotiation call, drafting a customer follow-up, logging the activity for your CRM, or capturing objections and next steps for your team.

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15
AI & Machine Learningheygen-com/skills

avatar-video

Create AI avatar videos with precise control over avatars, voices, scripts, scenes, and backgrounds using HeyGen's v2 API. Use when: (1) Choosing a specific avatar and voice for a video, (2) Writing exact scripts for an avatar to speak, (3) Building multi-scene videos with different backgrounds per scene, (4) Creating transparent WebM videos for compositing, (5) Using talking photos as video presenters, (6) Integrating HeyGen avatars with Remotion, (7) Batch video generation with exact specs, (8) Brand-consistent production videos with precise control.

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15
AI & Machine Learningryuheechul/agent-skills

memento-momentum

Enforces a 'Document-then-Execute' workflow. Use when an agent needs to run shell commands, execute tests, build projects, or perform any task that should favor established task runners (Makefile, npm run) and be logged to .cmds-by-agents/ for auditability.

🇺🇸|EnglishTranslated
15
AI & Machine Learningzhuy3075-ui/skill

agent-teams-playbook

Agent Teams Orchestration Playbook for Claude Code. This skill should be used when the user requests to "create agent teams", "use agent swarm", "set up multi-agent collaboration", "orchestrate agents", "coordinate parallel agents", "organize team collaboration", "build agent teams", "implement swarm orchestration", "set up multi-agent system", "coordinate agent collaboration", or needs guidance on adaptive team formation, quality gates, skill discovery, task distribution, team coordination strategies, or Agent Teams best practices. It should also be used when the user mentions terms like "multi-agent", "agent collaboration", "agent orchestration", "parallel agents", "divisional collaboration", "assemble a team", "put together a team", "multi-agent collaboration", "swarm orchestration", "agent team". Note: "swarm" is a generic industry term; Claude Code's official concept is "Agent Teams".

🇨🇳|ChineseTranslated
15
1 scripts/Attention
AI & Machine Learningmindfold-ai/trellis

cc-codex-spec-bootstrap

Claude Code + Codex parallel pipeline for bootstrapping Trellis coding specs. CC analyzes the repo with GitNexus (knowledge graph) + ABCoder (AST), creates Trellis task PRDs with full architectural context and MCP tool instructions, then Codex agents run those tasks in parallel to fill spec files. Use when: bootstrapping coding guidelines, setting up Trellis specs, 'bootstrap specs for codex', 'create spec tasks', 'CC + Codex spec pipeline', 'initialize coding guidelines with code intelligence'. Also triggers when user wants to set up GitNexus or ABCoder MCP for multi-agent spec generation.

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15
AI & Machine Learningsickn33/antigravity-aweso...

vercel-ai-sdk-expert

Expert in the Vercel AI SDK. Covers Core API (generateText, streamText), UI hooks (useChat, useCompletion), tool calling, and streaming UI components with React and Next.js.

🇺🇸|EnglishTranslated
15
AI & Machine Learninglambdamechanic/skills

sk

How to use the repo-scoped sk CLI to manage Claude Skills in this codebase.

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15
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