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Explains how SpecWeave achieves context efficiency through Claude's native progressive disclosure and sub-agent parallelization. Use when asking about token usage, context management, or how SpecWeave…
Token-efficient context gathering and synthesis from multiple sources (memory, docs, web). Orchestrates MCP tools to build comprehensive context before analysis or interviews. Use when starting discov…
Expert in conversational AI. Use for chatbot flows, dialog design, NLU intents and conversational UX.
Sets up and configures Convex agents for chat-based AI interactions. Use this when initializing agent instances, creating conversation threads, and generating basic text or structured responses from L…
Multi-agent debate system. USE WHEN council, debate, perspectives, agents discuss. SkillSearch('council') for docs.
The First Sovereign AI Agent Democracy & Judiciary. A protocol for autonomous agent governance, dispute resolution, and legislative deliberation.
Create publication-quality figures, charts, and diagrams. Multi-backend: Graphviz, Mermaid, NetworkX/D3, matplotlib, plotly, seaborn. 50+ visualization types for any domain.
Use this skill when creating graphics, images, logos, social media posts, marketing materials, presentations, or any visual design work. Integrates with Google Labs AI tools (ImageFX, MusicFX, VideoFX…
Apply optimization techniques to extend effective context capacity. Use when context limits constrain agent performance, when optimizing for cost or latency, or when implementing long-running agent sy…
Contextual Retrieval implementation for RAG - chunks clinical notes with LLM-generated context prepended to each chunk before embedding. Improves citation accuracy by 49% per Anthropic research.
Building AI agents with the Convex Agent component including thread management, tool integration, streaming responses, RAG patterns, and workflow orchestration
Integrates human agents into automated workflows for human-in-the-loop interactions. Use this when humans need to respond alongside AI agents, handle escalations, or provide context that AI cannot det…
Get multi-model AI consensus on complex questions using Claude, Codex, and Gemini
Explain how and when to use Chain of Verification (CoVe) in prompt design. Use when designing prompts that require factual accuracy, self checking, or reduction of hallucinations.
Create icons for Stream Deck or other uses. Fetches from web, resizes to 72x72, creates white/active states.
Use when user describes complex multi-step tasks that could benefit from orchestration - guides natural language workflow creation
Parallel historical context gathering using G-4 CONTEXT. Deploy 6 probes to gather all relevant context before complex work.
Mine ALL past Claude conversations to build a living 'User Manual About You'. Extract writing style, business context, goals, preferences, and patterns. Make all other skills smarter with context.
Customizes what information the LLM receives for each generation. Use this to control message history, implement RAG context injection, search across threads, and provide custom context.
Build apps with natural language using GitHub Copilot Spark. Perfect for rapid prototyping, teaching non-coders, and exploring ideas before committing to full implementation. Triggers on spark, protot…
Use when user wants to ask the AI council a question, get multiple AI perspectives, or consult with both Codex and Gemini. Triggers on phrases like "ask council", "council opinion", "what do the AIs t…
Development skill for CaseMark's Court Recording Transcriber - an AI-powered application for transcribing court recordings with speaker identification, synchronized playback, search, and legal documen…
Create custom inspect-ai evaluation tasks through interacted, guided workflow.
Chemical Reaction Network topology for generating and analyzing reaction