Total 50,678 skills, AI & Machine Learning has 8495 skills
Showing 12 of 8495 skills
Generic framework for converting external events (SMS, meetings, social mentions) into brain-ingestible signals. Define a transform function, register a webhook URL, and incoming events get processed through the brain pipeline.
AI image generation with Google Gemini via MCP - smart model selection, 4K output, aspect ratios, and templates
在 AntiGravity 連接 NotebookLM MCP。說「連接 NotebookLM」「設定 NotebookLM」時載入。
Generate, edit, upscale, variate, and style-transfer images using the AgentOS multi-provider image pipeline with automatic fallback and character consistency.
Orchestrate web-search, deep-research, content-extraction, hacker-news, stealth-browser, and news-search for comprehensive information gathering.
Use when the user asks to "improve my agent", "self-improving agent", "auto-tune my agent", "iterate on my agent prompt", "fix my agent based on test results", "close the loop on agent quality", "auto-improve agent prompt", "use eval results to improve agent", "optimize my prompt based on failures", "rewrite my prompt", or describes agent self-improvement, prompt iteration from run results, or automated agent quality loops. Covers the full diagnose → propose → apply → re-validate loop for VAPI agents (squads + tool definitions) and for self-hosted agents (custom websocket servers, including the offline / pasted-prompt degenerate variant).
Karpathy's LLM Wiki: build/query interlinked markdown KB.
AI-powered social media agent with real browser automation for autonomous account operation
Bootstrap a fresh Ubuntu VPS into a complete multi-agent AI development environment with safety tools and coordination infrastructure in 30 minutes
Build local-first AI executive assistant workflows with OpenClaw for data intake, operational memory, and communications triage
Install and use China-focused education Agent Skills for textbook sync, exam prep, mistake review, daily practice, and teacher workflows with Hermes Agent
Comprehensive ADMET (Absorption, Distribution, Metabolism, Excretion, Toxicity) profiling for drug candidates. Integrates ADMET-AI predictions, SwissADME drug-likeness, PubChemTox experimental toxicity, ChEMBL clinical data, Lipinski rule-of-five, and CYP interaction data. Use for drug-likeness assessment, BBB penetration, bioavailability, hepatotoxicity prediction, ADME/PK profiling, or screening compound libraries before lab testing.