claudecodex

agentic-design-and-evaluation

Design, compare, and improve from evidence

0 on GitHubby Agent Tooling Contributorsv4.6.9MITupdated 3 days agoDeveloper Tools
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Plugin agentic-design-and-evaluation from marketplace agent-tooling in DevGuyRash/agent-tooling. Commands read from the repo's manifest — 3 days ago.

What it installs

Skills (5)

  • foundational-knowledge

    The research behind this plugin on delegating work to AI agents (authority, grounding, done states, evidence, how instructions steer and compose) and the authoring guidance for instructions another AI will follow. Use for large design or prompt-engineering sessions and for questions about why the gu

  • prompt-context-design

    Write or revise instructions another AI will follow, such as prompts, skills, standing instruction files like AGENTS.md, briefs for delegated agents, and prompts for recurring or unattended work.

  • self-healing

    Heal the source of whatever keeps making agent work cost more or end worse than it should, from the evidence agents leave behind, be it an instruction, a tool, code, configuration, or how threads are run. Use whenever work goes differently than expected - the user corrects, questions, or re-prompts

  • skill-auditor

    Audit existing skills, plugins, and instruction files for whether each part changes agent behavior for the better at its cost, how they are discovered and loaded, and whether their scripts and resources work.

  • split-testing

    Choose between alternatives or recommend one, or plan, run, or check a comparison of them (A/B and split tests, experiments, pilots, bake-offs, taste tests, vendor, bid, and proposal evaluations, which option is better) for anything (prompts, models, code, designs, letters, recipes, protocols, servi

View source on GitHub

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