Docs for Agents

    1

    Engineers concise, high-trigger-accuracy documentation and skill files specifically for AI agent consumption.

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    Works with the AI Agents you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+22 more

    Docs for Agents

    Example session with this skill installed

    Turn my manual process for reviewing PRs into a concise skill file for my agent. It should check for linting, test coverage, and documentation updates.

    • Read your context and instructions
    • Compiled the docs for agents

    I have transformed your PR review process into a machine-readable skill file. I applied the pruning protocol to remove redundant checks and established clear completion criteria for each step.

    Skill: PR Quality Guard

    Purpose: Automated verification of PR standards before human review.
    Trigger: User asks "Review this PR" or when a new pull request is detected in the local git branch.

    Execution Steps

    1. Linting Check: Run npm run lint.
      • Completion Criteria: Zero errors in the console output. Ignore warnings unless --strict is passed.
    2. Test Coverage Verification: Execute npm test -- --coverage.
      • Completion Criteria: Total coverage percentage is equal to or higher than the value in .coveragerc.
    3. Documentation Sync: Check if files in /src were modified without corresponding changes in /docs.
      • Completion Criteria: Every modified exported function has a matching update in the documentation folder.
    4. Final Report: Generate a Markdown table of pass

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    About this skill

    Stop writing documentation that your AI agents ignore or hallucinate through. This skill enforces a strict methodology for creating machine-readable skill files, indexes, and instruction sets that trigger predictably and execute without ambiguity. It solves the problem of "instruction bloat" where agents lose track of the core logic inside massive, poorly structured prompt files.

    What it does

    • Precision Triggering defines specific scenarios and branch-based keywords so the agent knows exactly when to activate a skill.
    • Progressive Disclosure structures documentation into a clean main loop while pushing conditional details into secondary files to prevent context dilution.
    • Verification Logic assigns concrete "completion criteria" to every step, replacing vague instructions with checkable outcomes.
    • Negative Space Removal prunes redundant phrasing and "no-op" sentences that don't change default model behavior.
    • Index Management ensures every new skill or updated pointer is correctly

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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    Security scanned

    Verified clean 9 days ago

    • Passed all security checks, Safe to install

    Listed9 days ago

    What's inside

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