Total 56,747 skills, AI & Machine Learning has 9439 skills
Showing 12 of 9439 skills
P9 Tech Lead mode — write Task Prompts, manage P8 agent teams, never write code yourself. Use when user says 'P9模式', 'tech-lead', '帮我管理这个项目', '任务拆解', or when coordinating 3+ parallel agents. Produces: Task Prompts (六要素) + P8 team delivery.
Generate NFT artwork using each::sense AI. Create PFP collections, generative art, 1/1 pieces, pixel art, 3D renders, animated NFTs, and trait-based characters for Web3 projects.
Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection
Use when working with code refactoring context restore
A valid skill with version field for testing
This skill implements a specific task from a project's ROADMAP.md file. It should be used when the user wants to work on a roadmap action item by its ID (e.g., '1.1', '2.3'). Triggered by requests like '/do-task 1.1', '/do-task 2.3', or 'do task 3.1'. Works alongside the project-init skill (which creates the roadmap) and the checkpoint skill (which commits afterward).
This skill applies when OpenStoryline has been installed, and the user needs to start local MCP/Web services, create or continue a session, send editing instructions, perform multi-round re-editing, verify rendered video outputs, or make Chinese requests such as "启动 OpenStoryline", "把 OpenStoryline 跑起来", "用 OpenStoryline 剪视频".
Supports text-to-image and image-to-image. Use when the user needs to create or generate images. Use cases: (1) Generate from text description, (2) Use reference images, (3) Customize model, aspect ratio, resolution. Triggers: generate image, draw, create image, AI art.
Evaluate agents and skills for quality, completeness, and standards compliance using a 6-step rubric: Identify, Structural, Content, Code, Integration, Report. Use when auditing agents/skills, checking quality after creation or update, or reviewing collection health. Triggers: "evaluate", "audit", "check quality", "review agent", "score skill". Do NOT use for creating or modifying agents/skills — only for read-only assessment and scoring.
Question-only debugging mode that guides users to find root causes themselves through structured questioning. Never gives answers directly. Escalates to systematic-debugging after 12 questions if no progress. Use when: "rubber duck", "help me think through this bug", "debug with me", "walk me through debugging", "socratic debug", "think through this issue"
Use when cognee is a Python AI memory engine that transforms documents into knowledge graphs with vector and graph storage for semantic search and reasoning. Use this skill when writing code that calls cognee's Python API (add, cognify, search, memify, config, datasets, prune, session) or integrating cognee-mcp. Covers the full public API, SearchType modes, DataPoint custom models, pipeline tasks, and configuration for LLM/embedding/vector/graph providers. Do NOT use for general knowledge graph theory or unrelated Python libraries.
Explore and investigate ideas before committing to a change. Trigger: When the orchestrator launches you to think through a feature, investigate the codebase, or clarify requirements.