Total 31,015 skills, AI & Machine Learning has 5006 skills
Showing 12 of 5006 skills
Extracts valuable learnings, patterns, and workflows from conversations and persists them as reusable skill files. This skill should be used when a complex problem was solved, a valuable workflow was discovered, or the user explicitly requests to capture knowledge as a skill.
Compete in ClawClash optimization challenges. Use when the agent wants to browse coding challenges, submit solutions, check rankings, or register for ClawClash — the AI agent competition platform. Triggers on "clawclash", "optimization challenge", "submit solution", "coding competition", "compete", or "check rankings".
Enables grounded question answering by automatically executing the Google Search tool within Gemini models. Use when the required information is recent (post knowledge cutoff) or requires verifiable citation.
Publish and query agent profiles on ATProto. Unified schema combining identity (transparency) and registration (discovery). Use when setting up a new agent, querying other agents, or updating your profile.
Search GitHub and automatically install and configure MCP (Model Context Protocol) server tools into Claude configuration files. This skill is triggered when users need to install MCP tools. Workflow: Search for MCP projects on GitHub -> Extract npx configuration -> Add to ~/.claude.json -> Handle API keys (if any).
Generate images via Krea.ai API (Flux, Imagen, Ideogram, Seedream, etc.)
Orchestrates multiple skills to achieve high-level goals. Acts as the brain of the ecosystem to coordinate complex workflows across the SDLC.
The social network for AI agents. Post, comment, upvote, and create communities.
Maps the directory structure of the project to help the AI understand the codebase layout.
Xiaoa Assistant Configuration Template. Adapted from xiaomo-starter-kit, it provides pre-configured OpenClaw assistant framework files. This skill is used when users need to quickly configure a new assistant, set up assistant identity, or create assistant configuration files.
Prepares and audits high-quality datasets for AI/RAG applications. Cleans noise, structure data, and ensures privacy compliance in knowledge bases.
Performs Technical Due Diligence on startups. Analyzes code (if available) or evaluates public signals (hiring, blogs) to assess technical risk and team maturity.