Total 55,193 skills, AI & Machine Learning has 9157 skills
Showing 12 of 9157 skills
Use when orchestrating multi-agent teams for parallel work — feature dev, quality audits, research sprints, bug hunts, or any task needing 2+ agents working concurrently
Restore session state from handoff artifacts and route to the next action. Priority cascade: HANDOFF.json (highest) > .continue-here.md > incomplete task_plan.md > git log. Presents a status dashboard, then executes the next action. Use for "resume", "continue", "pick up where I left off", "what was I doing", "continue work". Do NOT use for starting new tasks (use /do), reviewing past sessions (use /retro), or reading task plans (read task_plan.md directly).
Get a second opinion from leading AI models on code, architecture, strategy, prompting, or anything. Queries models via OpenRouter, Gemini, or OpenAI APIs. Supports single opinion, multi-model consensus, and devil's advocate patterns. Trigger with 'brains trust', 'second opinion', 'ask gemini', 'ask gpt', 'peer review', 'consult', 'challenge this', or 'devil's advocate'.
Analyze contracts for risks, check completeness, and provide actionable recommendations. Supports employment contracts, NDAs, service agreements, and more.
Unified media generation via fal.ai MCP — image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.
Advanced swarm orchestration patterns for research, development, testing, and complex distributed workflows
Retrieve relevant episodic context from memory for informed decision-making. Use when you need past episodes, patterns, or solutions to similar tasks.
Update AGENTS.md and agent_docs/ following best practices. Use when modifying agent guidelines, adding new documentation, or restructuring agent instructions.
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.
ERC-8004 on-chain agent validation management — request and respond to validations, and query validation status, summaries, and paginated lists by agent or validator.
Help users upload local files to Runway for use as inputs to generation models
OpenInference semantic conventions and instrumentation for Phoenix AI observability. Use when implementing LLM tracing, creating custom spans, or deploying to production.