Total 53,279 skills, AI & Machine Learning has 8902 skills
Showing 12 of 8902 skills
Google quantum computing framework. Use when targeting Google Quantum AI hardware, designing noise-aware circuits, or running quantum characterization experiments. Best for Google hardware, noise modeling, and low-level circuit design. For IBM hardware use qiskit; for quantum ML with autodiff use pennylane; for physics simulations use qutip.
Agent Infrastructure: Bridge any skill or directory of skill collections to Claude Code (~/.claude/skills) and Codex (~/.codex/skills). Supports skills in the dbskill repository as well as absolute paths to external skills. Connect source directories via symlinks, with both ends synchronized when the source directory is modified. Supports batch bridging by skill name, relative path, absolute path, or skills directory, as well as unbridging and checking bridge status. Triggers: /dbs-bridge, /bridge, "bridge this skill", "bridge this skills directory", "connect this skill to Claude Code and Codex", "make this skill callable by both Claude and Codex", "unbridge", "check bridge status" Bridge any skill folder or directory of skill folders to Claude Code and Codex using symlinks. Supports dbskill skills and external skill directories. Use when the user wants one or many skills callable from both agents, or wants to unlink/check bridge status. Trigger: /dbs-bridge, /bridge, "bridge this skill", "bridge this skills directory", "make this skill available to Claude Code and Codex", "unlink this skill", "check bridge status"
AI agent management platform built with Vue 3 for OpenClaw Gateway and Hermes Agent
Redis LangCache guidance for semantic caching of LLM responses on Redis Cloud — calling search/set via the SDK or REST API, tuning the similarity threshold, separating caches per task type, and filtering with custom attributes. Use when caching LLM completions or RAG answers to cut API cost and latency, building a cache-aside layer in front of OpenAI / Anthropic / etc., tuning hit rate vs precision, or splitting one app's LLM workloads into multiple LangCache caches.
Generate 3D models and objects from text prompts or images using ModelsLab's 3D API. Transform 2D images into 3D representations or create 3D objects from text descriptions.
Internal support skill for actionbook MCP selectors used by Rust documentation research workflows. Use only when another rust-skills workflow explicitly requests actionbook-backed selectors.
Social-SBTI — Scrape public posts from Jike / X and generate parody SBTI personality profile cards. Wizard-style workflow: User trigger → Select platform → Paste URL → Auto health check/credential configuration/scraping/scoring/rendering → Generate card. Trigger scenarios: - User says "Run social-sbti" / "Start social-sbti" - User says "Help me analyze @someone's SBTI" - User says "Analyze @someone using social-sbti" - User says "Create a social version SBTI personality card for XXX"
Full-featured computational pathology toolkit. Use for advanced WSI analysis including multiplexed immunofluorescence (CODEX, Vectra), nucleus segmentation, tissue graph construction, and ML model training on pathology data. Supports 160+ slide formats. For simple tile extraction from H&E slides, histolab may be simpler.
Use when you need to clarify requirements and route to the right workflow (idea → executable input). Project intake + routing: help the user brainstorm and clarify intent, persist goal/context artifacts, then dispatch to the right workflow or step skill. Default route is workflow-ship-faster (Next.js 16.1.1) for idea/prototype→launch. Triggers: project kickoff, requirements clarification, brainstorm, ideas, discovery, intake.
ComfyUI custom node project structure - directory layout, __init__.py, registration, requirements.txt, publishing, WEB_DIRECTORY. Use when setting up a new custom node project, packaging nodes, or publishing to the registry.
Inspect Claude Code session logs, tool calls, token usage, subagents, and context window using claude-devtools visual UI
Team composition for writing workflows: which agents to spawn, how many, what focus areas to assign, and how to scale effort. Use when composing critic panels, dispatching researchers, staffing draft/revise loops, or setting up brainstorm fan-outs.