adversarial-spec
Iteratively refines product and technical specification documents through multi-model debate.
Install & Use
Copy this prompt and send it to your AI assistant (Claude / Cursor / TRAE / Codex / WorkBuddy etc.) to auto-install:
Help me install this AI Skill: adversarial-spec. It is used for: Iteratively refines product and technical specification documents through multi-model debate. Full Skill content: https://321skill.com/skills/adversarial-spec/raw/index.md Read that page and install it.
The prompt includes a link to the full Skill content. You can also view the full content.
adversarial-spec is a Claude Code plugin designed to address the potential blind spots and oversights that a single AI model might have when reviewing product specification documents. It introduces a multi-model debate mechanism, enabling Claude to engage in parallel critique and debate with other mainstream models like GPT and Gemini. This process uncovers hidden assumptions, logical flaws, and edge cases, ultimately producing a high-quality, consensus-driven document that has undergone rigorous adversarial review.
Usage is straightforward: install the plugin in Claude Code and configure API keys for at least one external model (e.g., from OpenAI or OpenRouter). Then, initiate the entire process with a simple command like /adversarial-spec "Build a Redis-backed rate limiting service". Claude will first draft an initial version, then coordinate multiple models for several rounds of critique and revision until all participants reach a consensus.
This tool is particularly suitable for product managers, technical leads, documentation engineers, and any team member who needs to write or review complex technical proposals, Product Requirements Documents (PRDs), or design documents. It transforms the limitations of an individual or a single model into a rigorous review powered by collective intelligence.
When using it, we recommend starting with a clear and concise product concept description. For complex requirements, you can first utilize the plugin's in-depth interview feature. Since it involves calling multiple external model APIs, please be mindful of controlling the number of conversation turns to manage costs. Always conduct a careful manual review before finalizing the output to ensure the consensus aligns with business reality.
Key Features
The core lies in its "adversarial debate" mechanism: Unlike tools that rely solely on Claude for generation or optimization, it actively introduces and coordinates multiple heterogeneous AI models (e.g., GPT, Gemini, Grok) for parallel critique and debate. Claude itself participates as an equal debater, not merely a moderator, collectively driving the document towards a high-quality consensus through this adversarial process.
Limitations
Not suitable for generating creative or literary content, or for handling simple documentation tasks that rely heavily on expertise in a single domain and do not require multi-perspective debate.
FAQ
How can I view the configured model providers?
Run the command: `python3 "$(find ~/.claude -name debate.py -path '*adversarial-spec*' 2>/dev/null | head -1)" providers`
Do I need API keys for multiple models?
No, you only need to configure API keys for at least one external model (e.g., OPENAI_API_KEY) to run. However, participation from a more diverse set of models typically provides a more comprehensive review perspective.
Installation guide for AI assistants
If your AI coding assistant (Claude Code, Cursor, TRAE etc.) can see this page, send it this message to auto-install:
Visit https://321skill.com/skills/adversarial-spec/raw/index.md to read the original Skill definition (Markdown format) for adversarial-spec, and install it according to the instructions.
Raw Markdown URL for AI: /skills/adversarial-spec/raw/index.md