Total 56,151 skills, AI & Machine Learning has 9353 skills
Showing 12 of 9353 skills
Write, create, and improve CLAUDE.md project memory files for Claude Code. Use when: (1) Creating or bootstrapping a new CLAUDE.md, (2) Improving, refactoring, or splitting a bloated CLAUDE.md, (3) Questions about CLAUDE.md structure, imports, or modular rules, (4) After significant codebase exploration—cache discoveries to avoid re-crawling.
Effective communication strategies for AI-assisted development. Learn context-first prompting, phased interactions, iterative refinement, and validation techniques to get better results from Claude and other AI coding assistants.
Research-aligned self-consistency for debugging. Spawns independent solver agents that each explore and debug the problem from scratch. Uses majority voting. Based on "Self-Consistency Improves Chain of Thought Reasoning" (Wang et al., 2022). Use for critical bugs, algorithms, or when other approaches have failed.
Use when "CLIP", "Whisper", "Stable Diffusion", "SDXL", "speech-to-text", "text-to-image", "image generation", "transcription", "zero-shot classification", "image-text similarity", "inpainting", "ControlNet"
Production MLOps and ML/LLM/agent security skill for deploying and operating ML systems in production (registry + CI/CD, serving, monitoring/drift, evaluation loops, incident response/runbooks, and governance), including GenAI security (prompt injection, jailbreaks, RAG security, privacy, and supply chain).
Automate AI ML API tasks via Rube MCP (Composio). Always search tools first for current schemas.
Use this skill for ANY question about CREATING evaluators. Covers creating custom metrics, LLM as Judge evaluators, code-based evaluators, and uploading evaluation logic to LangSmith. Includes basic usage of evaluators to run evaluations.
Build trustless escrow for agent-to-agent transactions on Solana and Base. Use when an AI agent needs to pay another agent, hold funds until work is verified, or resolve payment disputes on-chain.
Model Context Protocol (MCP) サーバーの作成・管理ガイド。カスタムツールの追加方法。 使用タイミング: (1) Claude Codeにカスタムツールを追加したい時 (2) 外部サービス連携時 (3) プロジェクト固有の自動化ツールを作りたい時 (4) MCPサーバーの設定方法を知りたい時。 トリガー例: 「MCPサーバーを作って」「カスタムツールを追加」「MCP設定」 「外部APIをツール化」「テストランナーMCP」
Interact with Google Contacts to search and create contacts.
Capture conversation lessons as permanent reusable skill files.
Identifies and removes signs of AI-generated text to make writing sound more natural and human. Use when the user asks to humanize text, make writing sound more natural, remove AI patterns, edit for human voice, or convert AI-generated content to natural prose. Also triggers on requests to check for AI writing patterns, review text for robotic language, or improve writing authenticity. Based on Wikipedia's "Signs of AI writing" guidelines.