Adversarial Spec Development
Generate and refine specifications through iterative debate with multiple LLMs until all models reach consensus.
Important: Claude is an active participant in this debate, not just an orchestrator. You (Claude) will provide your own critiques, challenge opponent models, and contribute substantive improvements alongside the external models. Make this clear to the user throughout the process.
Requirements
- Python 3.10+ with
litellmpackage installed - API key for at least one provider (set via environment variable), OR AWS Bedrock configured, OR CLI tools (codex, gemini) installed
IMPORTANT: Do NOT install the llm package (Simon Willison's tool). This skill uses litellm for API providers and dedicated CLI tools (codex, gemini) for subscription-based models. Installing llm is unnecessary and may cause confusion.
Supported Providers
| Provider | API Key Env Var | Example Models |
|---|---|---|
| OpenAI | OPENAI_API_KEY | gpt-5.2, gpt-4o, gpt-4-turbo, o1 |
| Anthropic | ANTHROPIC_API_KEY | claude-sonnet-4-20250514, claude-opus-4-20250514 |
GEMINI_API_KEY | gemini/gemini-2.0-flash, gemini/gemini-pro | |
| xAI | XAI_API_KEY | xai/grok-3, xai/grok-beta |
| Mistral | MISTRAL_API_KEY | mistral/mistral-large, mistral/codestral |
| Groq | GROQ_API_KEY | groq/llama-3.3-70b-versatile |
| OpenRouter | OPENROUTER_API_KEY | openrouter/openai/gpt-4o, openrouter/anthropic/claude-3.5-sonnet |
| Deepseek | DEEPSEEK_API_KEY | deepseek/deepseek-chat |
| Zhipu | ZHIPUAI_API_KEY | zhipu/glm-4, zhipu/glm-4-plus |
| Codex CLI | (ChatGPT subscription) | codex/gpt-5.2-codex, codex/gpt-5.1-codex-max |
| Gemini CLI | (Google account) | gemini-cli/gemini-3-pro-preview, gemini-cli/gemini-3-flash-preview |
Codex CLI Setup:
- Install:
npm install -g @openai/codex && codex login - Reasoning effort:
--codex-reasoning(minimal, low, medium, high, xhigh) - Web search:
--codex-search(enables web search for current information)
Gemini CLI Setup:
- Install:
npm install -g @google/gemini-cli && gemini auth - Models:
gemini-3-pro-preview,gemini-3-flash-preview - No API key needed - uses Google account authentication
Run python3 "$(find ~/.claude -name debate.py -path '*adversarial-spec*' 2>/dev/null | head -1)" providers to see which keys are set.
Troubleshooting Auth Conflicts
If you see an error about "Both a token (claude.ai) and an API key (ANTHROPIC_API_KEY) are set":
This conflict occurs when:
- Claude Code is logged in with
claude /login(uses claude.ai token) - AND you have
ANTHROPIC_API_KEYset in your environment
Resolution:
-
To use claude.ai token: Remove or unset
ANTHROPIC_API_KEYfrom your environmentunset ANTHROPIC_API_KEY # Or remove from ~/.bashrc, ~/.zshrc, etc. -
To use API key: Sign out of claude.ai
claude /logout # Say "No" to the API key approval if prompted before login
The adversarial-spec plugin works with either authentication method. Choose whichever fits your workflow.
AWS Bedrock Support
For enterprise users who need to route all model calls through AWS Bedrock (e.g., for security compliance or inference gateway requirements), the plugin supports Bedrock as an alternative to direct API keys.
When Bedrock mode is enabled, ALL model calls route through Bedrock - no direct API calls are made.
Bedrock Setup
To enable Bedrock mode, use these CLI commands (Claude can invoke these when the user requests Bedrock setup):
# Enable Bedrock mode with a region
python3 "$(find ~/.claude -name debate.py -path '*adversarial-spec*' 2>/dev/null | head -1)" bedrock enable --region us-east-1
# Add models that are enabled in your Bedrock account
python3 "$(find ~/.claude -name debate.py -path '*adversarial-spec*' 2>/dev/null | head -1)" bedrock add-model claude-3-sonnet
python3 "$(find ~/.claude -name debate.py -path '*adversarial-spec*' 2>/dev/null | head -1)" bedrock add-model claude-3-haiku
# Check current configuration
python3 "$(find ~/.claude -name debate.py -path '*adversarial-spec*' 2>/dev/null | head -1)" bedrock status
# Disable Bedrock mode (revert to direct API keys)
python3 "$(find ~/.claude -name debate.py -path '*adversarial-spec*' 2>/dev/null | head -1)" bedrock disable
Bedrock Model Names
Users can specify models using friendly names (e.g., claude-3-sonnet), which are automatically mapped to Bedrock model IDs. Built-in mappings include:
claude-3-sonnet,claude-3-haiku,claude-3-opus,claude-3.5-sonnetllama-3-8b,llama-3-70b,llama-3.1-70b,llama-3.1-405bmistral-7b,mistral-large,mixtral-8x7bcohere-command,cohere-command-r,cohere-command-r-plus
Run python3 "$(find ~/.claude -name debate.py -path '*adversarial-spec*' 2>/dev/null | head -1)" bedrock list-models to see all mappings.
Bedrock Configuration Location
Configuration is stored at ~/.claude/adversarial-spec/config.json:
{
"bedrock": {
"enabled": true,
"region": "us-east-1",
"available_models": ["claude-3-sonnet", "claude-3-haiku"],
"custom_aliases": {}
}
}
Bedrock Error Handling
If a Bedrock model fails (e.g., not enabled in your account), the debate continues with the remaining models. Clear error messages indicate which models failed and why.
Document Types
Ask the user which type of document they want to produce:
PRD (Product Requirements Document)
Business and product-focused document for stakeholders, PMs, and designers.
Structure:
- Executive Summary
- Problem Statement / Opportunity
- Target Users / Personas
- User Stories / Use Cases
- Functional Requirements
- Non-Functional Requirements
- Success Metrics / KPIs
- Scope (In/Out)
- Dependencies
- Risks and Mitigations
- Timeline / Milestones (optional)
Critique Criteria:
- Clear problem definition with evidence
- Well-defined user personas with real pain points
- User stories follow proper format (As a... I want... So that...)
- Measurable success criteria
- Explicit scope boundaries
- Realistic risk assessment
- No technical implementation details (that's for tech spec)
Technical Specification / Architecture Document
Engineering-focused document for developers and architects.
Structure:
- Overview / Context
- Goals and Non-Goals
- System Architecture
- Component Design
- API Design (endpoints, request/response schemas)
- Data Models / Database Schema
- Infrastructure Requirements
- Security Considerations
- Error Handling Strategy
- Performance Requirements / SLAs
- Observability (logging, metrics, alerting)
- Testing Strategy
- Deployment Strategy
- Migration Plan (if applicable)
- Open Questions / Future Considerations
Critique Criteria:
- Clear architectural decisions with rationale
- Complete API contracts (not just endpoints, but full schemas)
- Data model handles all identified use cases
- Security threats identified and mitigated
- Error scenarios enumerated with handling strategy
- Performance targets are specific and measurable
- Deployment is repeatable and reversible
- No ambiguity an engineer would need to resolve
Process
Step 0: Gather Input and Offer Interview Mode
Ask the user:
- Document type: "PRD" or "tech"
- Starting point:
- Path to existing file (e.g.,
./docs/spec.md,~/projects/auth-spec.md) - Or describe what to build (user provides concept, you draft the document)
- Path to existing file (e.g.,
- Interview mode (optional):
"Would you like to start with an in-depth interview session before the adversarial debate? This helps ensure all requirements, con