Grill Me: Technical Proposal Review

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    Get a grounded critique of technical plans and code, with clear risks and concrete next actions.

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    Grill Me: Technical Proposal Review

    Example session with this skill installed

    Pressure-test this plan: move payment charging to a queue, retry failures three times, and ship Friday. We have one worker and no dead-letter queue. No code is available.

    • Read your context and instructions
    • Compiled the grill me

    Moving charges to a queue could keep payment-provider delays out of web requests. The plan leaves duplicate-charge protection and failed-payment recovery unverified.

    Payment Queue Review

    The strongest version keeps checkout responsive while making each payment attempt traceable and safe to retry. One worker is not automatically a problem; capacity depends on demand and processing time.

    PriorityConcernEvidence and decision needed
    Blocker to approvalDuplicate charges after a timeoutRetries are planned, but idempotency is unspecified. Verify that retries of the same payment use a stable key supported by the provider.
    Needs constraintRecovery after retry exhaustionNo dead-letter queue is planned. That is acceptable only if another durable record supports investigation and safe replay.
    UnverifiedWorker capacityOne worker may be sufficient. Measure processing time and expected queue age before adding workers.

    These are design concerns, not confirmed code defects. Existing idempotency handling or a durable failure ledger could resolve the first two objections.

    Verdict: Good idea, but needs constraints. Friday's release should depend on demonstrated retry safety and a workable recovery path, not the date alone.

    Next steps

    • Test a provider success followed by a lost response, then retry.
    • Define who handles exhausted retries and how they replay safely.
    • Measure queue age under expected load and set a release threshold.

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    About this skill

    A technical plan can look sensible and still fail in production. Get a direct, evidence-based critique that exposes weak assumptions, separates blockers from manageable risks, and gives you concrete next actions.

    What it does

    • Pressure-tests decisions: Reviews implementation plans, architecture, pull requests, migrations, and rollouts.
    • Checks available evidence: Uses code, tests, logs, configuration, and documentation to assess whether concerns hold up.
    • Surfaces practical risks: Examines failure modes, ownership gaps, rollback options, performance, and unnecessary complexity.
    • Clarifies the decision: Delivers a clear verdict with specific constraints, checks, or changes to consider.

    How it works

    1. Share the proposal, pull request, design document, or technical decision you want challenged.
    2. Provide relevant files or evidence when available, and state any scope limits.
    3. Ask for a critique, then use the findings to decide what to validate or change before proceeding.

    Works with

    Designed for Codex reviews of technical proposals and accessible repository materials, including source code, tests, configuration files, logs, and design documents.

    Why use this skill

    It helps you focus review time on objections that could actually change the decision. It also checks for evidence against its own concerns, reducing speculative criticism and unnecessary rework.

    Use cases

    • Check a migration plan before committing engineering time.
    • Review a pull request for production failure modes.
    • Challenge whether a proposed abstraction is worth maintaining.

    Known limitations

    This is a critique tool, not an implementation service. Claims about current behavior depend on access to relevant evidence; unavailable details remain unverified.

    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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