Total 50,523 skills, AI & Machine Learning has 8481 skills
Showing 12 of 8481 skills
Connect OpenClaw AI agents to personal WeChat accounts for messaging, group chats, and automation
Orchestrate parallel AI coding agents across git worktrees for autonomous CI fixes, code reviews, and PR management
Self-hosted web dashboard for managing Hermes AI agent stacks with terminals, file explorer, multi-agent gateway, and RBAC
Generate brand-aligned presentation slides using Claude with 20 codified design principles and 72+ pre-built brand systems
Build production-ready multi-agent AI systems with security, observability, and scalability using LangGraph and FastAPI
Control and interact with Chrome browser via agent-browser-cli for tab management, page automation, CDP operations, and content extraction.
Security hardening guide for high-privilege autonomous AI agents (OpenClaw) with zero-trust architecture, behavior controls, and automated auditing
Install and use Supabase Agent Skills (`supabase/agent-skills`) with AI coding agents. Covers install modes, skill selection, plugin path, verification, and safe fallback for direct Supabase CLI/database workflows.
Turn a portrait photo into a high-end editorial "Color Analysis Board" in a luxury fashion-magazine style (Dior / Ralph Lauren aesthetic) — best colors, undertone, makeup guide, capsule wardrobe, hair & jewelry recommendations, all laid out on a clean beige/ivory grid.
Transcribe pre-recorded audio files or URLs with Gladia. Use when the user needs batch/async transcription, speaker diarization, subtitles (SRT/VTT), PII redaction, translation, NER, summarization, chapterization, audio-to-LLM, or any audio intelligence on pre-recorded content. Always prefer the official SDK; fall back to raw REST only when SDK cannot satisfy the requirement.
Generate llms.txt and llms-full.txt files for a website to improve AI discoverability. Use when the user asks to create llms.txt, generate llms.txt, fix llms.txt, make site AI-readable, or mentions llms.txt generation.
Run multiple AI coding agent sessions in parallel using git worktrees — each agent isolated in its own worktree, working on a separate branch. Use this skill whenever the user wants to: run two or more AI agents simultaneously on different features or bugs, set up isolated agent workspaces in the same repo, push parallel branches to GitHub and open/update PRs, coordinate between concurrent agent sessions, or clean up after merging. Triggers on: "parallel agents", "multiple agent sessions", "git worktree", "run agents in parallel", "work on two things at once", "isolated agent workspace", "spin up another agent", or any request involving simultaneous AI-assisted development streams.