Total 53,674 skills, AI & Machine Learning has 8931 skills
Showing 12 of 8931 skills
Playwright-based browser automation via Chrome extension + MCP/CLI. Connects to your RUNNING browser (existing logins, cookies, extensions preserved). Use for authenticated flows, stateful web automation, and AI agent browser control without re-logging in.
Update ElevenLabs agent skills from a merged weekly changelog in elevenlabs-dx, then open a pull request in elevenlabs/skills. Trigger after a changelog merges to main on elevenlabs-dx, or when asked to update skills from changelog YYYY-MM-DD.
Orchestrate Devin CLI subagents as background workers using tmux windows. Use when the user asks to spawn, coordinate, fan-out, or delegate work to multiple parallel agents, run background Devin sessions, or orchestrate long-running autonomous tasks from inside an existing Devin session.
Use when the user asks to "create a metric", "write a metric", "design a metric", "build a metric for", "evaluate agent performance", "measure call quality", "track a KPI", "add a workflow metric", "improve my metric", "fix a metric", "debug metric results", "set up quality scoring", or "what metrics do I need". Also relevant when discussing LLM judge prompts, custom code metrics, evaluation triggers, VALID_SKIP patterns, section extraction, or metric best practices for Cekura voice AI agents. Covers both creating new metrics and reviewing, iterating on, or troubleshooting existing ones.
Interact with Litefuse and access its documentation. Use when needing to (1) query or modify Litefuse data programmatically via the CLI — traces, prompts, datasets, scores, sessions, and any other API resource, (2) look up Litefuse documentation, concepts, integration guides, or SDK usage, or (3) understand how any Litefuse feature works. This skill covers CLI-based API access (via npx) and multiple documentation retrieval methods.
Structured software development framework for coding agents. Composable skills enforcing planning, testing, and systematic execution. Prevents code-first chaos.
Google Model Armor: Create a new Model Armor template.
Use when creating cloned voices with Alibaba Cloud Model Studio CosyVoice customization models, especially cosyvoice-v3.5-plus or cosyvoice-v3.5-flash, from reference audio and then reusing the returned voice_id in later TTS calls.
Virtually try on different outfits by combining a person's photo and a clothing item, then optionally generate a professional fashion model video.
Visualize interior design by generating an empty room and filling it with stylish furniture and decor, or by redesigning an existing room.
Connect OpenClaw AI agents to personal WeChat accounts for messaging, group chats, and automation
AI Image Generation Skill, using the latest ChatGPT image generation model gpt-image-2-all. This skill is applied when users need to generate images, visual infographics, create graphics, or edit/modify/adjust existing images. Based on the image generation service of the latest ChatGPT image generation model gpt-image-2-all from APIYI Platform (https://api.apiyi.com/), no external network access is required. The model is charged per image at $0.03 per piece, supporting text-to-image generation, single image editing, multi-image fusion, and natural language-based image modification, with high text restoration accuracy and friendly Chinese prompts. The size is controlled by prompt description (no explicit size parameter). Key differences from NanoBanana2: no size parameter, need to describe the size at the beginning of the prompt; unified $0.03 per image with no resolution tiering; the conversational endpoint /v1/chat/completions is the recommended one.