Simplicity Filter (Karpathy Method)

    2

    Claude defaults to complex. This skill does not let that happen. Before your session ships a 400-line solution to a 20-line problem, the simplicity filter stops it and asks: does this actually need to be this complex?

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    Simplicity Filter (Karpathy Method)

    Example session with this skill installed

    /karpathy audit the changes I just made to the auth middleware and user controller.

    • Read your context and instructions
    • Compiled the simplicity filter karpathy

    KARPATHY AUDIT

    Principle 1 - Think Before Coding: PASS
    Principle 2 - Simplicity First: FAIL
    Evidence: Added generic 'DataWrapper' class in user_controller.rb:14
    Action: Remove class; use raw hash to satisfy current task
    Principle 3 - Surgical Changes: PASS
    Principle 4 - Goal-Driven Execution: PASS

    VERDICT: HOLD

    • Remove DataWrapper class from user_controller.rb before shipping.

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    About this skill

    The problem

    AI agents often produce bloated code, introduce premature abstractions, or refactor unrelated files during a simple bug fix. This scope creep makes PR reviews difficult and introduces hidden technical debt.

    What it does

    • Evaluates code against four core principles: intentionality, simplicity, surgical precision, and goal-driven verification.
    • Identifies complexity hotspots like N+1 queries, O(n^2) loops, and inefficient React render patterns.
    • Produces a structured PASS/FAIL/WARN scorecard for every code change or proposal.
    • Enforces a strict "HOLD" verdict if any principle is failed, preventing speculative or messy code from shipping.

    Why this beats prompting it yourself

    Manual prompting often yields generic feedback or missing edge cases. This skill follows a rigorous audit protocol with line-level evidence and specific remediation steps that stay consistent across every session. It treats code review as a gate rather than a suggestion.

    Use cases

    • Reviewing a PR before submittal to ensure it only touches relevant files.
    • Auditing AI-generated code to strip out "just in case" abstractions.
    • Scanning for performance bottlenecks in data-heavy loops or UI components.
    • Verifying that a fix actually meets the pre-defined success criteria.

    Known limitations

    Complexity hotspot detection is focused on patterns; it may flag false positives if performance trade-offs were made intentionally without comments.

    • Focused on pattern matching: may flag intentional performance trade-offs.
    • Requires explicit user intent or SOP to evaluate Principle 1 accurately.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

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    Listed4 months ago

    What's inside

    Frequently Asked Questions

    The Simplicity Filter acts as a quality gate that prevents AI agents from generating 'bloated' code. It enforces 4 core principles—intentionality, simplicity, surgical precision, and goal-driven verification—to ensure every change is necessary and minimal.

    Yes, this skill is designed to work across any AI agent or LLM interface that supports custom skill integration. It functions during the code review or generation phase to audit proposals before they are finalized.

    You will receive the complete Simplicity Filter logic package, including the structured scorecard templates and the audit protocol required to trigger the PASS/FAIL/WARN feedback loop.

    Setup is nearly instantaneous; once added to your agent's skill library, it automatically monitors code changes. It requires no complex configuration, though you can manually trigger a 'Deep Audit' for specific files.

    While it focuses on general clean-code principles, it includes specific detection patterns for common performance issues like N+1 queries, O(n^2) loops, and inefficient React render cycles.

    Buyers receive lifetime access to the version purchased. If the 'Karpathy Method' logic is updated to reflect new industry standards or complexity patterns, those updates will be made available through the marketplace dashboard.

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