Total 50,611 skills, AI & Machine Learning has 8484 skills
Showing 12 of 8484 skills
Interactively onboard a project to agent-driven development by running a structured interview and generating a complete AGENTS.md (or CLAUDE.md). Use this skill whenever a user mentions "AGENTS.md", "CLAUDE.md", "agent behavior", "agent instructions", "agent config", "set up agent rules", "onboard agent", "configure claude code", "agent guardrails", "agent workflow", or asks how to tell an AI agent how to behave in their project — even if they just say "help me write AGENTS.md" or "what should go in CLAUDE.md". Always prefer this skill over ad-hoc agent instruction generation.
Get Shit Done (GSD) orchestrator. Runs the full project pipeline from idea to implementation to documentation: setup → PRD → task list → implementation → decisions doc. Use when the user wants to build something end-to-end, says "let's GSD", "build this from scratch", "get shit done", or wants to run the full development workflow. Coordinates gsdl-setup-project, gsdl-create-prd, gsdl-create-plan, gsdl-execute-plan, and gsdl-document-decisions skills. Spawns subagents per parent task during implementation to preserve context. Accepts an optional project name or source URL: /gsdl [project-name] OR /gsdl [linear|notion|slite] [url] OR /gsdl [url].
Generates publication-quality figures for ML papers from research context. Given a paper section or description, extracts system components and relationships to generate architecture diagrams via Gemini. Given experiment results or data, auto-selects chart type and generates data-driven figures via matplotlib/seaborn. Use when creating any figure for a conference paper.
AI image generation with OpenAI, Google, OpenRouter, DashScope, Jimeng, Seedream and Replicate APIs. Supports text-to-image, reference images, aspect ratios, and batch generation from saved prompt files. Sequential by default; use batch parallel generation when the user already has multiple prompts or wants stable multi-image throughput. Use when user asks to generate, create, or draw images.
Generate AI music or create covers from reference audio. Triggers on: "音乐", "music", "生成音乐", "generate music", "翻唱", "cover", "作曲", "compose", "create a song", "做一首歌".
Configure-Price-Quote (CPQ) vertical skill for the Customware SPA. Defines the section layout, config schema, business rule templates, and deterministic mapping rules for transforming a DOMAIN.md into a CPQ config object. Use this skill when the Builder Agent classifies a customer's domain as a quoting, pricing, or product configuration system. Trigger signals: products with dependencies, price lists, markup/margin calculations, quote generation, proposal workflows, accessory compatibility, product configuration options.
Agent skill for agentic-payments - invoke with $agent-agentic-payments
DOG v1.0 — The Loyal Consistent Performer. Multi-asset SM consensus scanner targeting 5% ROE/week through small steady wins. Quick profit-taking DSL. The most loyal pup in the fleet.
Challenges AI-generated plans, code, designs, and decisions before you commit. Pairs with any other skill as a review layer. Uses pre-mortem analysis, inversion thinking, and Socratic questioning to find what AI missed — blind spots, hidden assumptions, failure modes, and optimistic shortcuts. The skill that asks "are you sure about that?" so you don't have to. Triggers on: "challenge this", "devils advocate", "stress test this plan", "what could go wrong", "poke holes in this", "review this critically", "second opinion on this design", "what am I missing". Use this skill when you need critical review of any AI-generated output, architecture decision, implementation plan, or code before committing to it.
Guide for creating agent skills that follow the Agent Skills specification. Use when user wants to create, write, draft, or improve a skill. Covers structure, description optimization, progressive disclosure, scripts, and evaluation.
Use when the workflow works but needs polish, or as the final step in a diagnose → fix → refine cycle before shipping.
Intent-Augmented Code Property Graph — tracks WHY code exists via ReasonNodes with formal contracts, 6-dimension drift detection, and 3 canonical pre-task queries for autonomous development