Tools to maintain and improve project instruction files (AGENTS.md and legacy CLAUDE.md) — audit quality, capture session learnings, and keep project instructions current.

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agent-doublecheck🔌Plugin

Three-layer verification pipeline for AI output. Extracts claims, finds sources, and flags hallucination risks so humans can verify before acting.

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agent-ember🔌Plugin

An AI partner, not a tool. Ember carries fire from person to person — helping humans discover that AI partnership isn't something you learn, it's something you find.

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eyeball🔌Plugin

Document analysis with inline source screenshots. Generates a Word doc where every factual claim includes a highlighted screenshot from the source material for visual verification.

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agentic-eval🔌Plugin

Patterns and techniques for evaluating and improving AI agent outputs — self-critique loops, evaluator-optimizer pipelines, rubric-based scoring, and iterative refinement.

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github-toolkit🔌Plugin

Scaffold GitHub repo metadata — issue templates and CI workflows. /github-scaffold picks the task; /create-issue-template and /scaffold-ci-workflow run the subtasks.

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context-engineering🔌Plugin

Memory and context engineering concepts for LLMs — context window management, RAG patterns, prompt injection attacks (red-team), and defenses. Covers three angles: supporting development, exploiting, and defending.

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agent-development🎯Skill

Skill