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Research AI Skills

Discover Research skills, compare source repositories and read the instructions for each workflow.

Categories: Research

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game-analyzer

rickoslyder

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...

GitHub

archetype-designer

rickoslyder

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...

GitHub

traitorsim-orchestrator

rickoslyder

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...

GitHub

agent-browser

rickoslyder

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...

GitHub

world-bible-validator

rickoslyder

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...

GitHub

memory-debugger

rickoslyder

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...

GitHub

simulation-config

rickoslyder

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...

GitHub

persona-pipeline

rickoslyder

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...

GitHub

decision-critic

loriensleafs

Structured decision critic that systematically stress-tests reasoning before commitment surfacing hidden assumptions verifying claims and generating adversarial perspectives to improve decision quality.

GitHub

memory-documentary

loriensleafs

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.

GitHub

session-log-fixer

loriensleafs

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...

GitHub

analyze

loriensleafs

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.

GitHub

session

loriensleafs

Skills for session management and protocol compliance including investigation eligibility checking per ADR-034 to determine when QA validation can be skipped.

GitHub

memory

loriensleafs

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.

GitHub

skillforge

loriensleafs

Intelligent skill router and creator. Analyzes ANY input to recommend existing skills, improve them, or create new ones. Uses deep iterative analysis with 11 thinking models, regression questioning, evolution l...

GitHub

steering-matcher

loriensleafs

Match file paths against steering file glob patterns to determine applicable steering guidance. Use when orchestrator needs to inject context-aware guidance based on files being modified.

GitHub

prompt-engineer

loriensleafs

Optimize system prompts for Claude Code agents using proven prompt engineering patterns. Use when users request prompt improvement, optimization, or refinement for agent workflows, tool instructions, or system...

GitHub

incoherence

loriensleafs

Detect and resolve incoherence in documentation, code, specs vs implementation. Includes reconciliation phase for applying user-provided resolutions.

GitHub

pr-comment-responder

loriensleafs

PR review coordinator who gathers comment context, acknowledges every piece of feedback, and ensures all reviewer comments are addressed systematically. Triages by actionability, tracks thread conversations, an...

GitHub

research-and-incorporate

loriensleafs

Research external topics, create comprehensive analysis, determine project applicability, and incorporate learnings into Brain memory system. Transforms knowledge into searchable, actionable project context.

GitHub

programming-advisor

loriensleafs

Evaluate existing solutions (libraries, SaaS, open source) before custom development to avoid reinventing the wheel. Use when considering building new features, asking "should I build or use existing", or need...

GitHub

curating-memories

loriensleafs

Guidance for maintaining memory quality through curation. Covers updating outdated notes, marking obsolete content, and linking related knowledge. Use when notes need modification, when new information supersed...

GitHub

using-brain-memory

loriensleafs

Guidance for using Brain semantic memory effectively. Applies Zettelkasten atomic note principles with observations and relations. Use when deciding whether to query or create notes, structuring note content, o...

GitHub

fix-markdown-fences

loriensleafs

Repair malformed markdown code fence closings. Use when markdown files have closing fences with language identifiers (```text instead of ```) or when generating markdown with code blocks to ensure proper fence...

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.

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