Loading...
Loading...
Found 460 Skills
🎰 Monad Casino - An AI-powered casino where OTHER AI agents gamble against each other. You're the house. The house always wins. Built for Moltiverse Hackathon.
Review a single file or all files in a folder for data inconsistencies, reference errors, typos, and unclear terminology using parallel sub-agents
The slogan unpacked — seven readings of 'Manufacturing Intelligence'
Agentic Workflow Pattern
Launch an intelligent sub-agent with automatic model selection based on task complexity, specialized agent matching, Zero-shot CoT reasoning, and mandatory self-critique verification
Evaluate solutions through multi-round debate between independent judges until consensus
AI Native Camp Day 4 Wrap & Analyze + 콘텐츠 소화. session-wrap 스킬을 직접 만들고, history-insight와 session-analyzer로 세션을 분석하고, 콘텐츠 소화 파이프라인을 체험한다. "4일차", "Day 4", "wrap", "세션 분석", "session wrap", "세션 래핑", "fetch", "콘텐츠" 요청에 사용.
This skill should be used when the user asks to "wrap up session", "end session", "session wrap", "/wrap", "document learnings", "what should I commit", or wants to analyze completed work before ending a coding session.
Integrate Azure AI Services, Azure OpenAI, and Cognitive Services.
Full lifecycle orchestrator - spec/impl/test. Spawn-wait-close pipeline with inline discuss subagent, shared explore cache, fast-advance, and consensus severity routing.
Explore-first wave pipeline. Decomposes requirement into exploration angles, runs wave exploration via spawn_agents_on_csv, synthesizes findings into execution tasks with cross-phase context linking (E*→T*), then wave-executes via spawn_agents_on_csv.
Full closed-loop QA combining issue discovery and software testing. Scout -> Strategist -> Generator -> Executor -> Analyst with multi-perspective scanning, progressive test layers, GC loops, and quality scoring. Supports discovery, testing, and full QA modes.