Total 56,869 skills, AI & Machine Learning has 9457 skills
Showing 12 of 9457 skills
Meta-skill: research a thinker's framework deeply, then synthesize a new Claude Code skill that applies their thinking to business ideas. Takes a prompt like "/add-thinker Andy Grove — Only the Paranoid Survive" and produces a new skill at .claude/skills/<thinker>/SKILL.md that works like /munger does. Use when the user says "add thinker", "add a new thinker", "codify X's thinking", or "make a skill for <person>'s framework".
Cluely platform help — real-time AI meeting assistant with live coaching overlay, pre-call briefs, meeting notes, conversation analytics, and knowledge base RAG. Use when setting up Cluely for live AI prompts during sales calls, configuring the knowledge base with company docs for real-time RAG retrieval, connecting Cluely to HubSpot or Salesforce via Merge.dev, troubleshooting transcription accuracy or speaker attribution errors, comparing Cluely Pro vs Pro + Undetectability plans, or setting up team coaching scorecards and missed opportunity tracking. Do NOT use for choosing between AI note-takers across vendors (use /sales-note-taker) or reviewing a call for coaching (use /sales-call-review).
Omi AI wearable platform help — open-source AI necklace for all-day conversation capture (in-person + online meetings), Developer API (`api.omi.me/v1/dev`, Bearer token, 100 req/min), app marketplace with webhook integrations, memories/conversations/action-items endpoints. Use when setting up an Omi wearable for meeting capture, building a custom Omi app or integration, troubleshooting Bluetooth disconnects or transcription accuracy, connecting Omi to Slack or CRM via webhooks, comparing Omi to Plaud or Limitless for in-person recording, or accessing Omi's API to export conversations and action items. Do NOT use for choosing between software-only note-takers without wearable needs (use /sales-note-taker).
Evidence-based Drug-Drug Interaction (DDI) assessment skill modeled after the Micromedex Drug-Reax methodology. Trigger this skill whenever the user types /drug-drug, mentions "drug interaction", "DDI", "drug-drug", "can I take X with Y", "interaction between", "交互作用", "併用", or asks whether two medications can be used together. This skill performs systematic literature retrieval via PubMed, CrossRef, and WebSearch, then produces a structured assessment report with Severity, Documentation, Onset, Mechanism, Clinical Effects, and Management — mirroring the Micromedex Drug-Reax classification framework. Even casual questions like "is it safe to combine A and B" should trigger this skill.
OpenAI-compatible proxy aggregating 14 free-tier LLM providers with automatic failover and per-key rate tracking.
Use when you need maximum precision on a critical task — production deployments, security-sensitive code, financial calculations, or any work where mistakes are unacceptable.
Audit token waste across agent systems (Claude Code, OpenClaw, Hermes, OpenCode). Detect idle burns, model misrouting, and config bloat with dollar savings.
Initialize the memory system in the current directory, generating CLAUDE.md (optional AGENT.md for Cursor), MEMORY.md, and the memory/ directory. Triggered when the user says "initialize memory", "set up memory", "memory init", or "/memory-init".
Generate photorealistic digital twins and avatar clones using each::sense AI. Create AI-powered digital representations for video calls, corporate communications, customer service, and multilingual content.
Discover PUDA experiment workflows for bears and choose the right experiment for the task. Use when you need to run, set up, or understand a PUDA experiment such as colour mixing optimization.
Read production traces, identify what's failing, and build failure taxonomies using open coding and axial coding methodology. Use when debugging agent or pipeline quality, investigating "why are my outputs bad?", or before building any evaluator — error analysis must come first. Do NOT use when you already have identified failure modes and need evaluators (use build-evaluator) or datasets (use generate-synthetic-dataset).
Interactive lesson-level quiz for Claude Code tutorials. Tests understanding of a specific lesson (01-10) with 8-10 questions mixing conceptual and practical knowledge. Use before a lesson to pre-test, during to check progress, or after to verify mastery. Use when asked to "quiz me on hooks", "test my knowledge of lesson 3", "lesson quiz", "practice quiz for MCP", or "do I understand skills".