Coding Plus

    by Roy Yuen

    2

    Upgrade your AI agent with a senior-level engineering SOP focused on inspection, minimal diffs, and hard verification.

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    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLI+17 more

    See it in action

    You say

    Analyze the login failure in auth.ts, identify the root cause, and provide a status update using the standard inspection headings.

    Your agent does

    Verified

    • bug in auth.ts line 42
    • test failing with 401

    Inferred

    • fix requires middleware update

    Unknown

    • impact on legacy session tokens

    Residual Risk

    • haven't tested against Redis cluster failover.

    What you get

    Verify codebase state via file inspection before suggesting any changes.Generate minimal code diffs to reduce technical debt and side effects.Execute hard verification tests to ensure logic meets production standards.Eliminate assumptions by enforcing a rigorous inspect-first workflow.

    About this skill

    Elite Engineering Discipline for AI Agents

    Coding Plus transforms generic AI chat into a rigorous Senior Software Engineer's workflow. The primary challenge with AI coding is "hallucination-led development"—where models make assumptions about codebase state without looking at the files. This skill enforces an Inspect-First methodology that prioritizes verification over guesswork.

    What it does

    The skill embeds a Model-Agnostic Standard Operating Procedure (SOP) into your agent, ensuring every task follows a consistent lifecycle: deep inspection, contract definition, minimal diff implementation, and hard verification. It forces the agent to categorize every claim under specific Verified, Inferred, and Unknown headings, eliminating the ambiguity that leads to broken builds.

    Why use this skill?

    • Consistent Quality: Get senior-level output regardless of whether you are using GPT-4, Claude, or local models.
    • Reduced Technical Debt: Focuses on minimal diffs and preserving existing patterns rather than rewriting entire files.
    • Explicit Risk Reporting: The agent must admit what it hasn't tested, allowing you to focus your review on high-risk areas.
    • Universal Compatibility: Works across any language or framework (Node.js, Python, Go, etc.) by focusing on engineering logic rather than syntax.

    The Output

    Expect structured responses that include clear engineering success criteria and a dedicated "Residual Risk" report. No more "trust me" responses; you get actionable proof of what was run, what was fixed, and what remains to be seen.

    How to install

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

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    Fresh listing

    Recently published to Agensi

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    Trust & safety

    Security scanned

    Verified clean 4 months ago

    Listed4 months ago

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