Tune Gates

    by Dmytro Hopkalo

    2

    Establish and refine surgical CI quality gates and automated verification loops for any repository.

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    3 installsSecurity scanned

    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLIVVS CodeWWindsurf+15 more

    See it in action

    You say

    We just added a design tokens file. Add a source-sync gate to ensure the implementation doesn't drift from the tokens, and require 100% test coverage in CI.

    Your agent does

    I've updated AGENTS.md §3 to require 'coverage (100%)' and §8 to include the source-sync-gate. I also generated the source-sync-gate/SKILL.md file, mapping your design tokens as the {{source_of_truth}}. These gates ensure that any token changes trigger a drift audit before merge.

    About this skill

    Quality Enforcement for Modern Repos

    The tune-gates skill provides a streamlined, developer-centric workflow for establishing and refining repository quality gates. Traditionally, setting up rigid CI policies and verification loops requires manual configuration across multiple files. This skill automates that process by managing both CI quality gates (linting, testing, coverage) and advanced verification gates (review, source-of-truth syncing, and target parity) in a surgical, non-destructive way.

    What it does

    • CI Quality Policy: Defines the specific green checks required for merge and establishes the "CI-first" policy for local verification.
    • Verification Gates: Configures review-gate for UI/artifact changes, source-sync for design-token/schema consistency, and parity-gate for multi-platform synchronization.
    • Surgical Refinement: Operates in "Refine Mode" to add, drop, or tune specific gates in existing projects without clobbering hand-tuned configurations.
    • Template-Driven Configuration: Automatically populates lifecycle templates and AGENTS.md sections based on your repo's specific architecture.

    Why use this skill?

    Prompting an AI to "set up gates" often results in generic, hallucinated CI configs or disconnected documentation. This skill is grounded in the Keelson framework, ensuring that every gate added has a corresponding implementation, a defined source of truth, and a clear trigger. It prevents the "blind spot" problem by enforcing pairs (like source-change and source-sync) that keep your implementation in lockstep with your designs.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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    3 installs

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