Total 50,502 skills, AI & Machine Learning has 8478 skills
Showing 12 of 8478 skills
Expert knowledge for Azure AI Custom Vision development including best practices, decision making, limits & quotas, security, integrations & coding patterns, and deployment. Use when exporting Custom Vision models, calling prediction APIs, using ONNX/TensorFlow, managing CMK/RBAC, or Smart Labeler, and other Azure AI Custom Vision related development tasks. Not for Azure AI Vision (use azure-ai-vision), Azure AI services (use microsoft-foundry-tools), Azure Machine Learning (use azure-machine-learning), Azure AI Foundry Local (use microsoft-foundry-local).
Use when batch-resolving approved todos, especially after code review or triage sessions
Non-interactive X11 desktop control for AI agents. Use when the task involves controlling a Linux desktop - clicking, typing, reading windows, waiting for UI state, or taking screenshots inside a sandbox or VM.
Update AGENTS.md and agent_docs/ following best practices. Use when modifying agent guidelines, adding new documentation, or restructuring agent instructions.
ASR (Automatic Speech Recognition) — enhanced speech-to-text built on Doubao large model, with audio preprocessing, denoising, and extended analysis capabilities. Async API. Choose this skill when: - Input is a video file (mp4/mov/mkv) — auto-extracts audio track - Audio needs denoising before recognition - File exceeds 512MB or 5 hours (no size limit) - Audio source is a TOS internal path (tos://bucket/key) - Need structured JSON output with timestamped utterances and metadata - Need speaker diarization, emotion/gender detection, speech rate, or sensitive word filtering Supports 99 languages, multiple formats (wav/mp3/m4a/aac/flac/ogg/mp4/mov/mkv), and auto language detection.
Generate and edit images using TensorsLab's AI models. Supports text-to-image, image-to-image generation, plus advanced editing: avatar generation, watermark removal, object erasure, face replacement, and general image editing. Features automatic prompt enhancement, progress tracking, and local file saving. Requires browser-based authorization before first use.
Complete reference for Runway's public API: models, endpoints, costs, limits, and types
A prompt repetition technique for improving LLM accuracy. Achieves significant performance gains in 67% (47/70) of 70 benchmarks. Automatically applied on lightweight models (haiku, flash, mini).
Systematic architectural thinking for irreplaceable human capabilities - domain modeling, systems thinking, constraint navigation, and AI-aware problem decomposition. Use proactively when detecting architectural decisions, system design discussions, or multi-component planning.
Evaluate and rank agent results by metric or LLM judge for an AgentHub session.
Expert skill for generating GitHub Copilot skills from ING-internal documentation repositories. Use this skill when asked to create a skill from any ING documentation-as-code repo, generate a knowledge base skill for an ING framework, convert ING tool documentation into a Copilot skill, or turn any docs/ folder into an expert skill file. Also trigger when the user mentions "skill from docs", "generate skill", "create skill from repo", or references ING-internal frameworks like Baker, Merak, Kingsroad, or similar. Includes evaluation framework, grading agents, and benchmark tools for testing generated skills.
Use when the user wants to configure, create, or update a SecondMe Skill/MCP integration from a local project, or needs help exposing existing project capabilities through MCP.