adversarial-speclisted

# 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 `litellm` package 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` | | Google | `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`,