Total 53,723 skills, AI & Machine Learning has 8939 skills
Showing 12 of 8939 skills
Meta-orchestrator (L0): reads kanban board, lets user pick ONE Story, drives it through pipeline 300->310->400->500 via TeamCreate. User-confirmed merge to develop after quality gate PASS.
Monitor running agent loops, triage failures, clean up after completion, and decide when to intervene. Use when a loop is running and needs babysitting, when a loop just finished and needs post-merge verification, when stories are skipping/failing and need diagnosis, or when stale test artifacts need cleanup. Triggers on: 'check the loop', 'what happened with the loop', 'loop finished', 'clean up after loop', 'why did that story skip', 'monitor loop', 'nanny the loop', or any post-start loop management task. Distinct from agent-loop skill (which handles starting loops).
Use Twill Cloud Coding Agent to manage Twill's public v1 API workflows. Create/list/update tasks, stream and cancel jobs, manage scheduled tasks, list repositories, and export Claude teleport sessions.
Use when creating or editing any prompt (commands, hooks, skills, subagent instructions) to verify it produces desired behavior - applies RED-GREEN-REFACTOR cycle to prompt engineering using subagents for isolated testing
Design, apply, and maintain SKOS taxonomies for joelclaw agent workflows. Use when defining concept schemes, classifying agent inputs/outputs, mapping to external vocabularies, or integrating taxonomy metadata with Typesense retrieval.
AI Native Camp Day 2 MCP & Context Sync. MCP를 배우고 나만의 Context Sync 스킬을 만든다. "2일차", "Day 2", "MCP", "context sync" 요청에 사용.
Interactive session to craft a system prompt for an AI agent powered by Sanity Agent Context MCP.
Diagnose Kokoro TTS issues. TRIGGERS - kokoro not working, tts diagnose, kokoro error, tts troubleshoot.
Sample skill for testing the skill-tester validation pipeline. Demonstrates proper skill structure with scripts, references, and assets.
Enables Claude to send Reddit direct messages and manage chat conversations
Track Duolingo language learning progress and maintain streaks
Build text-to-speech applications using Qwen3-TTS, a powerful speech generation system supporting voice clone, voice design, and custom voice synthesis. Use when creating TTS applications, generating speech from text, cloning voices from audio samples, designing new voices via natural language descriptions, or fine-tuning TTS models. Supports 10 languages (Chinese, English, Japanese, Korean, German, French, Russian, Portuguese, Spanish, Italian).