Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+20 more

    Constraint Negotiator

    2

    Expose hidden trade-offs and architect feasible operating envelopes for systems under conflicting pressures.

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    Constraint Negotiator

    Constraint Negotiator

    Example session with this skill installed

    We need to build a RAG-based search tool. It must be 100% accurate, use the cheapest LLMs to save costs, and have sub-second latency, but management also wants it to cite every single source.

    • Read your context and instructions
    • Compiled the constraint negotiator

    OBJECTIVE-CONSTRAINT COLLISION MAP

    • Collision: Accuracy vs. Cost (CRITICAL)
    • Tension: Cheap models lack the reasoning for 100% accuracy in complex RAG tasks.
    • Truth: You are implicitly choosing cost over reliability.

    VERDICT

    Impossible brief disguised as ambition.

    Connects securely to your tools. The creator never sees your data.

    What you get

    Identify critical collisions between latent goals and hard resource limits.Define the realistic operating envelope for high-stakes AI agent workflows.Expose the implicit trade-offs being made in a product roadmap.Separate hard technical constraints from soft political preferences.

    About this skill

    What it does

    The Constraint Negotiator is a specialized framework for developers, architects, and product leads who are facing "impossible" briefs. It explicitly identifies the hidden tensions in complex systems—like the trade-off between latency and safety, or customization and maintainability—and forces a structured negotiation to find a feasible path forward.

    Problem it solves

    Most projects fail not due to a lack of talent, but because they are governed by incompatible demands (e.g., "fast, cheap, and secure"). This skill exposes the "negotiation debt" that teams accumulate when they pretend trade-offs don't exist, preventing the delivery of brittle, compromise-heavy solutions that satisfy no one.

    Output & Benefits

    The skill produces a detailed "Negotiation Status" report, including a Collision Map of conflicting objectives, a Dominant Constraint Diagnosis, and a Feasible Operating Envelope. Unlike simple preference matrices, it provides 2-4 viable paths with explicit sacrifices, ensuring you don't commit to something operationally unstable or mathematically impossible.

    Supported Environments

    Ideal for AI agent design, system architecture, product roadmapping, and multi-stakeholder governance. It bridges the gap between high-level ambition and operational reality.

    How to install

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

    ~30 seconds
    1. 1

      Download the ZIP

      Free skills download straight away. Paid skills unlock right after purchase.

    2. 2

      Unzip into your skills folder

      Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.

    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.

    Skills folder by agent

    Click the path to copy it. Create the folder if it does not exist yet.

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    What's inside

    Frequently Asked Questions