Use when a site under review requires authentication and you need to import cookies from a real browser session into your local browser automation helper. Trigger on "get-cookies", cookie import, browser session reuse, authenticated QA, or protected pages behind login.
Use when auditing AI applications, LLM features, agent workflows, RAG systems, tool-calling code, prompt pipelines, model output handling, AI API keys, cost controls, or skill/agent supply-chain risks.
Use when turning vague product requests, founder notes, GitHub issues, roadmap bullets, bug reports, or feature ideas into backlog-ready specs or executable GitHub issues.
Use when auditing a live or implemented developer experience for APIs, CLIs, SDKs, MCP servers, plugins, integration guides, getting-started docs, or developer onboarding flows.
Use when evaluating early product ideas, founder decisions, AI application concepts, wedge markets, target users, product scope, or design handoff before writing specs or architecture.
Use when reviewing a plan or spec for developer-facing API, CLI, SDK, MCP, plugin, integration guide, getting-started documentation, or developer onboarding design before implementation.
Use when reviewing a plan from a founder or product-ceo perspective and you need to challenge premises, choose scope expansion vs hold vs reduction, and push for the best product outcome.
Use when reviewing an execution plan and you need engineering scrutiny across architecture, data flow, diagrams, edge cases, test coverage, and performance.