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Found 532 Skills
Use this skill to analyze a brand from their website before creating content. Triggers: "analyze brand", "research brand", "brand guidelines", "brand profile", "understand brand", "brand colors", "brand voice", "before creating content for" Extracts: colors, typography, voice/tone, products, audience, competitive positioning. Outputs a reusable brand_profile.json that producer skills can use.
Expert system for designing and architecting AI agent workflows based on proven Meta methodologies. Use when users need to build AI agents, create agent workflows, solve problems using agentic systems, integrate multiple tools into agent architectures, or need guidance on agent design patterns. Helps translate business problems into structured agent solutions with clear scope, tool integration, and multi-layer architecture planning.
AI Native Camp Day 4 Wrap & Analyze. session-wrap 스킬을 직접 만들고, history-insight와 session-analyzer로 세션을 분석한다. "4일차", "Day 4", "wrap", "세션 분석", "session wrap", "세션 래핑" 요청에 사용.
Agentic Workflow Pattern
Use when the workflow feels over-engineered, has premature optimizations, unnecessary abstraction layers, or complexity beyond actual requirements.
DeepMind Researcher: AGI through deep understanding, AlphaGo/AlphaZero RL, AlphaFold scientific discovery, Gemini multimodal, neuroscience-inspired architectures. Scientific rigor + industrial scale. Triggers: DeepMind research, AlphaGo algorithms, protein folding AI, scientif...
Comprehensive multi-perspective review using specialized judges with debate and consensus building
Agent Workflow Designer
Hermes Agent framework by Nous Research - self-improving AI agent with built-in learning loop, three-layer memory, and automatic skill evolution
Load PROACTIVELY when decomposing a user request into parallel agent work. Use when user says "build this", "implement this feature", or any request requiring multiple agents working concurrently. Guides task decomposition into parallelizable units, agent assignment with skill matching, dependency graph construction, WRFC loop coordination across up to 6 concurrent agent chains, and result aggregation.
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.
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.