Total 55,890 skills, AI & Machine Learning has 9298 skills
Showing 12 of 9298 skills
When the boundaries are clear, directly implement code, tests and necessary documentation, and complete the implementation and closure with minimal interruptions
Generate personalized music playlists by analyzing the user's music taste from local apps (Apple Music, QQ Music) and generation feedback history. Triggers on "generate playlist", "make a playlist", "歌单", "推荐歌单", "根据我的口味生成", "personalized playlist", "music taste", "音乐画像", "scan my music", "扫描我的音乐", "playlist based on my taste", "根据喜好生成".
Integrate Polpo AI agents into any TypeScript/JavaScript application using @polpo-ai/sdk. Use when the user wants to add AI agent chat, completions API, streaming SSE, session management, memory, webhooks, or any Polpo API integration into their code. Triggers on "polpo", "agent chat", "completions API", "polpo sdk", "@polpo-ai/sdk", "AI agent integration".
Fetches live AI crypto trading signals with entry price, stop-loss, take-profit, leverage, confidence scores, and automated verification. Covers 50+ coins including BTC, ETH, SOL. Use when the user asks for crypto signals, trade ideas, market direction, portfolio analysis, or wants to build a trading bot.
Distil domain expertise into high-quality agent skills using a principle-driven approach. Use this when you need to create a new skill or improve an existing one, focusing on expertise transfer rather than mechanical instructions. This skill emphasises research, synthesis, critique, and the four core truths of skill design.
Generate AI avatars from photos or text descriptions using each::sense. Create professional headshots, cartoon avatars, 3D characters, fantasy personas, gaming avatars, and consistent character designs for various platforms.
MemPalace — Local AI memory with 96.6% recall. Semantic search, temporal knowledge graph, palace architecture (wings/rooms/drawers). Free, no cloud, no API keys.
Analyze codebase with parallel mapper agents to produce .planning codebase documents
Configure GSD workflow toggles and model profile
Explore-lane experimental execution skill for deep learning research repositories. Use when the researcher explicitly authorizes exploratory runs such as small-subset validation, short-cycle guess-and-check, batch sweeps, idle-GPU search, or quick transfer-learning trials, with results summarized in `explore_outputs/`. Do not use for end-to-end exploration orchestration on top of `current_research`, trusted baseline execution, conservative training verification, default routing, or implicit experimentation.
Agent harness architecture — structure a project's agent context across layers for effective AI-assisted development. Covers CLAUDE.md, skills, design docs, hooks, and all artifacts that shape how an agent understands and operates in a codebase. Use when setting up or improving a project's agent configuration, when agent context feels bloated or disorganized, when onboarding a new project for AI-assisted development, or when the agent keeps losing architectural awareness mid-task. Trigger on phrases like "set up claude", "improve CLAUDE.md", "agent keeps forgetting", "context is too long", "harness setup", "organize agent context", "how should I structure my prompts". Supports arguments: `/harness audit` to evaluate an existing project's context architecture, `/harness init` to set up harness from scratch.
Use when you need to read Monologue notes through the public API, search and list a user's notes, fetch a specific note, paginate through all notes, or pull transcripts and summaries with a Monologue Notes API token.