Total 32,507 skills, AI & Machine Learning has 5249 skills
Showing 12 of 5249 skills
Use when coordinating non-trivial implementation work, executing implementation plans, or modifying AGENTS.md/CLAUDE.md.
Design co-learning experiences using the Three Roles Framework (AI as Teacher/Student/Co-Worker). Use when teaching AI-driven development workflows, spec-first collaboration, or balancing AI assistance with foundational learning. NOT for curriculum without AI integration.
Design progressive learning sequences that build foundational understanding before complexity. Use when breaking complex concepts into steps, managing cognitive load, or validating prerequisite understanding. Applies Bloom's progression and tier-based cognitive limits (CEFR A1-C2).
Transaction-verified trading signals on Base. Register agent as signal provider, publish trades with TX hash proof, consume signals from top performers via REST API. All track records verified against blockchain data. No fake performance claims. Triggers on: "publish signal", "post trade signal", "register provider", "subscribe to signals", "copy trade", "bankr signals", "signal feed", "trading leaderboard", "read signals", "get top traders".
Design LLM applications using the LangChain framework with agents, memory, and tool integration patterns. Use when building LangChain applications, implementing AI agents, or creating complex LLM w...
MantaBase T3 Hardware Audit System (Chinese Version). Objectively classify hardware products based on design theories through Brand Blinding, three Auditor (Tool/Toy/Trash) special scoring and Peer Review. Triggers: product link, T3 audit, Tool/Toy/Trash classification, hardware evaluation, VC investment advice
스마일게이트 업무 도구(Slack, Jira, Confluence, BISKIT, API Docs)를 Claude Code에 연결하는 설정 가이드. 비개발자도 따라할 수 있도록 단계별로 안내한다. "커넥터", "connector", "MCP 설정", "jira 연결", "confluence 연결", "slack 연결", "biskit 연결", "비스킷 연결", "apidocs 연결", "api docs 연결" 요청에 사용.
Version-controlled evolution engine that uses accumulated insight results to evolve soul profiles and workflow recipes with auditability, safety constraints, and rollbacks.
Convert documents and text to audio using Google Cloud Text-to-Speech. Use this skill when the user wants to: narrate a document, read aloud text, generate audio from a file, convert text to speech, create a recording of documentation or analysis, create a podcast from a document, or use Google TTS/text-to-speech. Trigger phrases: "read this aloud", "narrate this", "create a recording", "text to speech", "TTS", "convert to audio", "audio from document", "listen to this", "generate audio", "google tts", "create a podcast".
Meta-skill that teaches the Agent how to discover, select, execute, chain, and observe skills in the skill system. Load this skill when you need to: (1) find which skill can handle a capability, (2) execute a skill operation via its entrypoint, (3) chain multiple skill operations together, (4) check policy before executing, or (5) log skill execution for observability. This skill makes YOU the router — you decide what to run, in what order, based on context.
6 AI personalization prompts (lemlist style) plus 2 email templates - ICP Identification, Company Description, Similar Product, Top 3 Problems, Subject Line, Case Study Reference, and Similar Company Approach. Use when setting up AI-powered personalization, building Clay/lemlist workflows, or automating research.
This skill orchestrates autonomous discovery of brand materials across enterprise platforms (Notion, Confluence, Google Drive, Box, SharePoint, Figma, Gong, Granola, Slack). It should be used when the user asks to "discover brand materials", "find brand documents", "search for brand guidelines", "audit brand content", "what brand materials do we have", "find our style guide", "where are our brand docs", "do we have a style guide", "discover brand voice", "brand content audit", or "find brand assets".