Total 56,899 skills, AI & Machine Learning has 9462 skills
Showing 12 of 9462 skills
Query MiniMax API usage status. Triggered when users ask about MiniMax usage, quota, or consumption statistics. Display used quota, weekly limit, reset time, and Token consumption statistics; do not display model quota.
Extract frames from video files using ffmpeg for AI/LLM analysis. Use when (1) the user asks to analyze, describe, or summarize a video file, (2) the user wants to extract frames or screenshots from a video, (3) the user provides a video file (.mp4, .mov, .avi, .mkv, .webm, etc.) and asks questions about its visual content, (4) the user wants to identify scenes, objects, or events in a video, (5) the user wants timestamps overlaid on extracted frames for temporal reference. Converts video into JPEG frames that can be attached to LLM prompts as images. Requires ffmpeg on PATH. Supports scene-change detection, model-aware optimization (Claude/OpenAI/Gemini), quality presets (efficient/balanced/detailed/ocr), grayscale and high-contrast OCR mode, and automatic FPS calculation via --max-frames.
· Batch-improve skill collections with evaluation loops, lint checks, behavioral tests, peer review. Triggers: 'skill refiner', 'improve skills', 'quality sweep', 'batch improve', 'skill loop'. Not for one skill.
Review requirements or plan documents using parallel persona agents that surface role-specific issues. Use when a requirements document or plan document exists and the user wants to improve it.
Enthu.AI platform help — contact center conversation intelligence with auto QA scorecards, agent coaching, compliance monitoring, and speech analytics. Use when setting up Enthu.AI QA scorecards for call center agents, calls not being scored or transcribed correctly, agents not seeing coaching insights from their calls, Enthu.AI integration with Aircall or RingCentral not syncing, comparing Enthu.AI vs Gong or CallMiner for contact center QA, or configuring sentiment analysis and keyword tracking. Do NOT use for building a general coaching program (use /sales-coaching) or reviewing a specific call transcript (use /sales-call-review).
Observe.AI platform help — enterprise contact center intelligence with Auto QA scoring on 100% of interactions, Agent Copilot real-time guidance, Coaching Copilot post-call performance management, VoiceAI and ChatAI virtual agents, screen recording, Insights Copilot. Use when setting up Observe.AI Auto QA scorecards for contact center agents, Agent Copilot not surfacing guidance during live calls, transcription accuracy issues or speaker attribution errors, comparing Observe.AI vs Balto or Cresta or CallMiner for contact center QA, integrating Observe.AI with Five9 or Amazon Connect or Talkdesk, or configuring compliance monitoring and regulatory audit trails. Do NOT use for building a general coaching program (use /sales-coaching) or reviewing a specific call transcript (use /sales-call-review).
Altern platform help — curated AI tools and agents directory (10,000+ tools, 100+ categories, ~5-28K monthly visits). Covers tool submissions (free + featured tiers: Gold/Silver/Bronze), listing optimization, category selection, newsletter inclusion (weekly AI tools + agents digest), alternatives pages, and dofollow backlinks. Use when your AI tool isn't listed on Altern, listing isn't getting visibility, not sure if a featured tier is worth it, or wondering how Altern compares to other AI directories. Do NOT use for multi-directory launch coordination (use /sales-launch-directory). Do NOT use for non-AI product directories (use the platform-specific skill).
Install the Chief into the current project. Uses setup.sh as the primary method, then verifies and fixes manually if needed. Use when the user wants to set up the framework (e.g. "/chief-install" or "/chief-install canary").
Install, configure, and start FireRed-OpenStoryline from source on a local machine. Use when a user asks to set up OpenStoryline, troubleshoot installation, download required resources, fill config.toml API keys, or launch the MCP and web services, as well as Chinese requests like “安装 OpenStoryline”, “配置 OpenStoryline”, “启动 OpenStoryline”, “把 OpenStoryline 跑起来”, “修复 OpenStoryline 安装问题”, or “排查 OpenStoryline 启动失败”.
Audit a non-technical repo's folder structure for agent-navigability and propose a refactor plan. TRIGGER when user says "review structure", "audit folders", "audit my repo", "check organization", "is my repo agent-friendly", "clean up structure", or runs "/review-structure".
Automated cost estimation from BIM models using DDC CWICR database with 55,719 work items. AI classification + vector search for accurate pricing.
Create new skills, modify and improve existing skills. Use when users want to create a skill from scratch, edit or optimize an existing skill, turn a workflow into a reusable skill, or improve a skill's description for better triggering.