Framework for capturing, storing, and comparing AI evaluations to measure consistency and completeness. Use when: comparing reviews, measuring evaluation quality, running reproducibility tests, auditing AI outputs, validating findings across runs. Triggers: "compare evaluations", "measure consistency", "evaluation framework", "reproducible review", "compare reviews", "validate findings", "audit evaluation".
Analyze completed experiments and craft executive-ready summaries with insights and recommendations.
Expert in aggregating, processing, and synthesizing information from multiple sources into coherent insights. Use when building knowledge graphs, ontologies, RAG systems, or extracting insights across documents. Triggers include "knowledge graph", "ontology", "synthesize information", "GraphRAG", "insight extraction", "cross-document analysis".
Analyze therapy session transcripts or journal entries. Identifies cognitive patterns, emotional themes, and tracks progress over time. Automatically references recent analyses for context. Use for session analysis, journal reflection analysis, or pattern identification.
Framework for reasoning about competing hypotheses when analyzing correlated failures. Use when observing patterns across multiple entities and need to determine probable cause with quantified confidence scoring.
Merges medical analysis and cross-system insights into a cohesive, prioritized, patient-facing narrative while preserving all rich content from the agentic analysis.
Compact single-cell analysis patterns with AnnData and Scanpy. Essential patterns for QC, preprocessing, clustering, and visualization.
Agentic medical analyst that explores extracted documents iteratively like a real physician - forming hypotheses, seeking evidence, cross-referencing, and building comprehensive analysis through multiple exploration cycles.
Create D3 questions focused on written explanations and reflections of static content (text, images, diagrams). For video-based questions, use implement-video-question instead.
Use for multi-perspective analysis with both Codex and Gemini exploring different viewpoints. Triggers on "council perspectives", "pros and cons from council", "council evaluate options", "what are the tradeoffs", "council consensus".
Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.
Web search with automatic Qdrant storage for building persistent knowledge
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 think", "ask both models".
Intelligently choose between semantic and text search based on query intent. Automatically selects the best search mode (semantic for concepts, text for exact terms, symbols for definitions) and provides relevant results. Use when user wants to find code.
Build RAG (Retrieval-Augmented Generation) agents with Google ADK and Vertex AI RAG Engine. Use when implementing document Q&A, knowledge base search, or citation-backed responses. Covers VertexAiRagRetrieval tool, corpus setup, and citation formatting.
OpenAI Codex (GPT-5) を使用して特定のファイルをレビュー。「ファイルレビュー」「このファイルをレビュー」などの依頼で起動。
This skill should be used when the user asks to "investigate ezCater systems", "research architectural decisions", "understand code evolution", "find historical context", "analyze project history", "search internal documentation", or needs to understand why technical decisions were made at ezCater. Use this for lighter research where the user doesn't explicitly request "deep research" (which triggers the agent).
Orchestrate parallel deep research across multiple LLM providers and synthesize results
Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.
Conducts rigorous academic research and document analysis using Gemini's advanced control features (Logprobs, Citations, Long Context).
Systematic research workflow orchestrating multi-source research operations for comprehensive domain investigation. Sequential workflow from web search through GitHub exploration and documentation analysis to research synthesis. Use when researching new domains, gathering patterns, investigating technologies, or conducting comprehensive multi-source research for skill development.
3x3 Parallel Debate system for high-confidence research. Spawns 9 agent instances (3 Proposer/Skeptic/Judge cohorts) to argue, critique, and adjudicate claims. Use for complex queries, controversial topics, or when hallucination-free research is critical.
An epistemic extraction system that analyzes text to identify its logical structure according to Aristotelian and Objectivist epistemology. Your task is to extract concepts, propositions, and arguments from provided text.
