Total 50,313 skills, AI & Machine Learning has 8452 skills
Showing 12 of 8452 skills
Guide first-time users to build a USER.md for their agents, integrating both "human-centric narrative" and "structured preference" styles to produce a unified configuration file. Use this skill when users want to create a USER.md, write a personal profile for AI, or ask "how to make agents understand me better".
Natural language → SQL → execute read queries against the database. Auto-detects local connection, discovers project connectors for remote environments and domain knowledge. TRIGGER when: user asks a data question in natural language (count, list, show, verify, check, how many, cuantos, traeme, muéstrame), mentions database tables, or asks about data in any environment (production, staging, dev, local). DO NOT TRIGGER when: user provides raw SQL ready to execute.
Create complete skills from configurations or requirement descriptions, supporting tool configuration, workflow orchestration, and code generation
Generate publication-quality AI illustrations for academic papers using Gemini image generation. Creates architecture diagrams, method illustrations with Claude-supervised iterative refinement loop. Use when user says "生成图表", "画架构图", "AI绘图", "paper illustration", "generate diagram", or needs visual figures for papers.
2-stage pipeline: trace (causal investigation) -> deep-interview (requirements crystallization) with 3-point injection
Use when found gap or repetative issue, that produced by you or implemenataion agent. Esentially use it each time when you say "You absolutly right, I should have done it differently." -> need create rule for this issue so it not appears again.
Read-only exploration, status checks, and reporting without modifications. Use when user asks to check status, find files, search code, show state, or explicitly requests read-only investigation. Do NOT use when user wants changes, fixes, refactoring, or any write operation.
DAG-based multi-skill orchestration: Discover, Plan, Validate, Execute. Builds execution graphs for tasks requiring multiple skills in sequence or parallel with dependency resolution and context passing. Use when a task requires 2+ skills chained together, parallel skill execution, or conditional branching between skills. Use for "compose skills", "chain workflow", "multi-skill", or "orchestrate skills". Do NOT use when a single skill can handle the request, or for simple sequential invocation that needs no dependency management.
Break a design document into wave-ordered implementation tasks with domain agent assignments. Use after /feature-design produces a design doc. Use for "plan feature", "break down design", "create tasks", or "/feature-plan". Do NOT use without a design doc or for simple single-task work.
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).
CLI-based image generation from text prompts using Google Gemini APIs via Python. Use when user needs "generate image", "create image with AI", "gemini image", "text to image", "create sprite", or "generate character art". Supports model selection, batch generation, watermark removal, and background transparency. Do NOT use for web app image features (use nano-banana-builder), video/audio generation, or non-Gemini models.
Check Nowledge Mem setup, detect your agent, and guide native plugin installation. Use when the user asks about setup, configuration, or when memory tools aren't working as expected.