deploy
Deploy Claude Assistant Platform to Orange Pi via Jenkins. Use when deploying to production, triggering a build, releasing, or when user says "deploy", "push to prod", "release", "ship it", or "deploy to orange...
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Deploy Claude Assistant Platform to Orange Pi via Jenkins. Use when deploying to production, triggering a build, releasing, or when user says "deploy", "push to prod", "release", "ship it", or "deploy to orange...
Check deployment status on Orange Pi - container health, logs, and service status. Use when checking if deployment succeeded, debugging production issues, verifying services are running, or when user asks "is i...
Detect hints about unreleased AI research or capabilities from lab researcher communications. Use when analyzing tweets, posts, or interviews from people at major AI labs to identify signals about upcoming work...
Assess overall hype levels across AI topics by comparing lab researcher enthusiasm against critic skepticism. Use after topic synthesis to identify which topics are overhyped, underhyped, or accurately assessed...
Synthesize claims across multiple sources to identify consensus, disagreements, and emerging narratives on AI research topics. Use when you have claims from both lab researchers and critics on the same topic an...
Extract structured claims, predictions, hints, and opinions from AI research content. Use when processing tweets, blog posts, substacks, or other content from AI researchers to identify substantive assertions a...
Track and evaluate AI predictions over time to assess accuracy. Use when reviewing past predictions to determine if they came true, failed, or remain uncertain.
Generate a weekly AI intelligence digest from synthesized topic analyses and hype assessments. Use after synthesis and hype assessment to produce a readable, opinionated summary for sophisticated technical read...
Filter and classify AI research content for relevance, topic, and author category. Use for bulk triage of raw content before detailed claim extraction.
Manage Gemini Deep Research API quotas with rate limiting, exponential backoff, and client-side tracking. Use when handling API quota errors, implementing rate limiting, batch job submission, or when asked abou...
Analyze TraitorSim game logs, trust matrix evolution, voting patterns, mission outcomes, and emergent social behaviors. Use when examining game results, debugging gameplay issues, analyzing agent strategies, or...
Design and manage TraitorSim agent archetypes with OCEAN personality traits, stat biases, and gameplay profiles. Use when creating new archetypes, modifying personality traits, defining character types, or when...
Orchestrate complete TraitorSim workflows from persona generation to game execution and analysis. Use when starting new projects, running full pipelines, or when asked about complete workflows, end-to-end proce...
Browser automation CLI for AI-driven UI testing and review. Use when asked to "test the UI", "review the website", "check the site visually", "audit the frontend", or perform automated browser testing. Leverage...
Validate TraitorSim content for World Bible lore consistency, detect forbidden real-world brand leakage, and ensure in-universe brand usage. Use when checking personas, narratives, game content, or when asked a...
Debug TraitorSim agent memory systems including profile.md, diary entries, trust matrices (suspects.csv), and SKILL.md files. Use when troubleshooting agent behaviors, inspecting memory contents, validating mem...
Configure TraitorSim game parameters including regional rule variants (UK/US/Australia), recruitment mechanics, end-game modes, tie-breaking, and player counts. Use when setting up simulations, testing rule var...
Generate AI agent personas with authentic backstories, demographics, and personality traits for TraitorSim. Use when creating new characters, generating personas, building character libraries, or when asked abo...
Structured decision critic that systematically stress-tests reasoning before commitment surfacing hidden assumptions verifying claims and generating adversarial perspectives to improve decision quality.
Generate evidence-based documentary reports by searching across Brain memory system, .agents/ artifacts, and GitHub issues. Produces investigative journalism-style analysis with full citation chains.
Fix session protocol validation failures in GitHub Actions. Use when a PR fails with "Session protocol validation failed", "MUST requirement(s) not met", "NON_COMPLIANT" verdict, or "Aggregate Results" job fail...
Invoke IMMEDIATELY via brain-hooks when user requests codebase analysis, architecture review, security assessment, or quality evaluation. Do NOT explore first - the command orchestrates exploration.
Skills for session management and protocol compliance including investigation eligibility checking per ADR-034 to determine when QA validation can be skipped.
Unified four-tier memory system for AI agents. Tier 1 Semantic (Brain+Forgetful search), Tier 2 Episodic (session replay), Tier 3 Causal (decision patterns). Enables memory-first architecture per ADR-007.
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