Adversarial-spec is a Claude Code plugin that uses multiple LLMs to debate and refine product specifications. It helps product and engineering teams identify gaps, challenge assumptions, and improve spec quality. The plugin integrates with Claude Code and connects to product management workflows, enhancing collaboration and reducing errors in specifications.
git clone https://github.com/zscole/adversarial-spec.githttps://github.com/zscole/adversarial-spec
["1. Open Claude Code and install the adversarial-spec plugin from the plugin store.","2. Prepare your product specification document and save it in a format compatible with Claude Code (e.g., Markdown, plain text).","3. Use the prompt template provided to input your specification into the plugin. Make sure to include all relevant details and context.","4. Review the generated insights and suggestions from the plugin. Take note of any gaps, risks, or improvements identified.","5. Update your product specification based on the plugin's recommendations. Iterate as needed to ensure a comprehensive and robust specification."]
Automate the generation of product requirement documents (PRDs) by refining initial drafts through model debates.
Enhance technical specifications by identifying and addressing potential gaps and assumptions through multi-LLM critiques.
Facilitate collaborative product development by synthesizing feedback from various LLMs into a final document.
Streamline the review process by allowing users to request changes and run additional critique cycles until consensus is reached.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/zscole/adversarial-specCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Using adversarial-spec, debate and refine the following product specification: [SPECIFICATION]. Generate three alternative perspectives from different stakeholders (e.g., engineering, marketing, customer support) and highlight potential gaps or risks. Suggest improvements to the specification based on the debate.
After analyzing the product specification for a new AI-powered customer support tool, the adversarial-spec plugin generated the following insights: 1. Engineering Perspective: The specification lacks detailed requirements for handling high-volume data processing. Suggest adding a section on scalability and data throughput. 2. Marketing Perspective: The target user personas are not clearly defined. Suggest including a section on user demographics and pain points. 3. Customer Support Perspective: The specification does not address integration with existing support systems. Suggest adding a section on compatibility and integration requirements. Based on the debate, the specification should be updated to include these additional sections to ensure a comprehensive and robust product development process.
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