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Multi-phase research orchestration for thorough codebase, documentation, and external knowledge investigation. Invoked by /ai-eng/research command. Use when conducting deep analysis, exploring codebas…
Schmidhuber's compression progress as intrinsic curiosity reward for
Constitutional compliance validator. Enforces all 5 Constitutional Articles to ensure AI trading decisions comply with human-defined rules. Works as second line of defense alongside Risk Agent.
Search and annotate music from ingested YouTube history. Uses Horus Music Taxonomy (HMT) for bridge-based memory integration. Enables episodic associations linking music to lore events.
Filter and classify AI research content for relevance, topic, and author category. Use for bulk triage of raw content before detailed claim extraction.
Principles for designing context-efficient AI agents and tools. Use when designing LLM tools, agents, MCP servers, or multi-agent systems.
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…
Compress the latest desktop video - Quickly compress the newest video file on the desktop using HandBrake, employing a fast fail strategy
Condensed ANIMA on quantum-classical and classical-quantum networks. All skill compositions materialized as s-expressions across the polyglot substrate.
A framework for aligning AI agents to be helpful, harmless, and honest using a principles-based critique loop. Use this when you need to define an agent's personality, establish safety guardrails for …
Generate structured ContentSummary JSON from analyzed content. Use after media-reviewer to produce final output with all 16 fields.
Recognize, diagnose, and mitigate patterns of context degradation in agent systems. Use when context grows large, agent performance degrades unexpectedly, or debugging agent failures.
RAG pipeline, embeddings, LLM interactions, and flow orchestration.
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.
Design computational models for cognitive simulation and analysis.
Diagnostic telemetry system that tracks internal state variables (prediction accuracy, surprise, confidence, integration, affective signals) across conversation turns. Use when systematic introspectio…
Use it when the user asks to "ask gemini", "ask codex", or "ask in browser"
Analyze text content using both traditional NLP and LLM-enhanced methods. Extract sentiment, topics, keywords, and insights from various content types including social media posts, articles, reviews, …
This skill should be used when the user asks to "model agent mental states", "implement BDI architecture", "create belief-desire-intention models", "transform RDF to beliefs", "build cognitive agent",…
Elite AI context engineering specialist mastering dynamic context
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.