Total 31,209 skills, AI & Machine Learning has 5047 skills
Showing 12 of 5047 skills
Universal context reviewer: delegates arbitrary context (plans, decisions, documents, architecture proposals) to external agents (Codex + Gemini) for independent review with debate protocol. Context always passed via files.
Use when brainstorming, evaluating architecture choices, or comparing trade-offs where independent perspectives from different model families (Claude/Codex/Gemini) would surface blind spots
Invoke the @empjs/skill CLI tool via natural language to manage AI Agent skills. Use this skill when users need to: 1. Install/add skill packages (install/add) 2. List installed skills (list/ls) 3. Delete/uninstall skills (remove/rm/uninstall) 4. View supported AI Agent platforms (agents/list-agents) 5. Manage skills using the eskill command.
Executes the implementation plan from a specification. Loops through plan phases, delegates tasks to specialists, updates phase status on completion. Supports resuming from partially-completed plans.
Generate music videos using each::sense AI. Create visualizers, lyric videos, animated music videos, concert visuals, and genre-specific aesthetics synchronized to audio.
Create and configure Vapi voice AI assistants with models, voices, transcribers, tools, hooks, and advanced settings. Use when building voice agents, phone bots, customer support assistants, or any conversational AI that handles phone or web calls.
Create outbound phone calls, web calls, and batch calls using the Vapi API. Use when making automated calls, testing voice assistants, scheduling call campaigns, or initiating conversations programmatically.
Set up and manage phone numbers in Vapi for inbound and outbound voice AI calls. Use when importing Twilio, Vonage, or Telnyx numbers, buying Vapi numbers, or configuring phone numbers for assistants.
Agent skill that faithfully reproduces Hummingbot CLI commands (connect, balance, create, start, stop, status, history) via Hummingbot API. V1 focuses on core trading workflows. For DEX/LP strategies on Solana, use lp-agent instead.
Workflow for publishing skills and agents to the dotnet-skills Claude Code marketplace. Covers adding new content, updating plugin.json, validation, and release tagging.
Evaluates RAG (Retrieval-Augmented Generation) pipeline quality across retrieval and generation stages. Measures precision, recall, MRR for retrieval; groundedness, completeness, and hallucination rate for generation. Diagnoses failure root causes and recommends chunk, retrieval, and prompt improvements. Triggers on: "audit RAG", "RAG quality", "evaluate retrieval", "hallucination detection", "retrieval precision", "why is RAG failing", "RAG diagnosis", "retrieval quality", "RAG evaluation", "chunk quality", "RAG pipeline review", "grounding check". Use this skill when diagnosing or evaluating a RAG pipeline's quality.
Build buyer and seller agent workflows with Skyfire KYA, PAY, and KYA+PAY tokens. Use when implementing token creation, token introspection and charging, seller service lifecycle, service discovery, Skyfire MCP integration, or enterprise admin operations.