DR

    debate referee

    1

    An adversarial referee that stages multi-persona debates to stress-test high-stakes agent decisions.

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    DR

    debate referee

    Example session with this skill installed

    Referee a debate on this motion: We should migrate our entire legacy monolith to a serverless architecture next month to reduce infrastructure costs.

    • Read your context and instructions
    • Compiled the debate referee
    • Generated the document

    I have convened the chamber to referee the motion regarding the serverless migration. The debate included a full cross-examination and evidence audit.

    Debate Verdict: Legacy to Serverless Migration

    RoleCore Argument / Contribution
    Proposer(P1) Serverless reduces idle compute costs by 40%. (P2) Auto-scaling handles traffic spikes without manual intervention.
    Adversary(A1) Cold start latency will breach our <200ms P99 SLA. (A2) Operational complexity and vendor lock-in outweigh raw compute savings.
    AuditorMarked P1 as UNVERIFIED (no cost-benefit analysis provided). Confirmed A1 as SUPPORTED based on current runtime metrics.
    OperatorClassified as EXPENSIVE/REVERSIBLE. Noted the team lacks AWS Lambda observability tooling.

    Motion: We should migrate our legacy monolith to a serverless architecture by next month to reduce infrastructure costs by at least 30% while maintaining current latency SLAs.

    Verdict: REJECT

    Confidence: High — The motion fails on both timing and evidence. The 30-day window is insufficient for refactoring, and the cost savings claim is currently speculative (UNVERIFIED).

    Surviving Claims:

    1. A1 (Supported): Cold starts represent a critical risk to user experience.

    2. P2 (Supported): Auto-scaling is a valid benefit, but secondary to stability.

    Dissent (Preserved): "The current monolith is a scaling bottleneck that will fail during the Q4 peak. Even an unoptimized serverless migration is safer than total downtime." — The Proposer

    Falsification Test: Run a 1-week pilot for the highest-traffic API endpoint on serverless. If P99 latency remains <200ms and cost drops >20%, the verdict flips.

    Next steps

    1. Perform a formal cost-benefit analysis for the top 5 services to verify P1.
    2. Conduct the suggested pilot test on a non-critical endpoint to measure cold start impact.
    3. Review the Q4 capacity plan for the existing monolith.

    debate-referee.pdf

    PDF · document

    Generated

    Example file from a real run - the skill writes it into your workspace.

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    What you get

    Audit high-stakes architectural decisions through adversarial reasoning.Identify blind spots in business proposals via steel-manned opposition.Verify factual claims using a dedicated Evidence Auditor role.Document dissenting opinions for irreversible or expensive technical pivots.

    About this skill

    The problem

    LLMs are prone to confirmation bias and sycophancy. When you ask an agent for a plan, it often agrees with itself or builds a case for its first thought without ever testing the counter-arguments.

    What it does

    • Stages a structured five-role debate between a Proposer, a steel-manned Adversary, an Evidence Auditor, and an Operator.
    • Forces the creation of a falsifiable motion before any reasoning begins to ensure the decision can actually be tested.
    • Conducts a mandatory concession round where personas must withdraw weak claims or be flagged as unreliable.
    • Produces a verdict that preserves the strongest dissent verbatim, ensuring blind spots are never silenced by the majority.

    Why this beats prompting it yourself

    Standard prompting leads to "one opinion wearing five hats" where personas collapse into agreement. This skill enforces role-separation, evidence grading, and mandatory concessions that are difficult to maintain in a single-agent session. It transforms a vague "think step-by-step" into a rigorous adversarial audit.

    Use cases

    • Evaluating high-stakes technical architecture choices or expensive refactors.
    • Red-teaming marketing strategies or business proposals before execution.
    • Auditing factual disputes where claims require sourced verification rather than LLM memory.
    • Testing irreversible decisions like database migrations or public-facing communications.

    Known limitations

    Requires enough context about the decision to form a falsifiable motion. Lightning rounds for low-stakes decisions provide less rigor than the full five-round debate.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

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    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

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