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Deep codebase and architecture research playbook. Use for architecture, repository, system-design, migration, or implementation-blueprint research.
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
Basé sur la classification professionnelle SOC
| name | research-architecture |
| description | Deep codebase and architecture research playbook. Use for architecture, repository, system-design, migration, or implementation-blueprint research. |
| user-invocable | false |
For deep architecture work, write all nine sections in this order: Executive Summary; Repository & Dependency Topology; Architectural Views & Paradigms; Data & State Flow; Performance & Scalability Analysis; Security, Privacy & Supply-Chain Risks; Developer Experience & Extensibility; Implementation Roadmap; Edge Cases, Failure Modes & Recovery Strategies.
Ground topology, dependency direction, synchrony/async boundaries, state ownership, deployment units, critical flows, contracts, bottlenecks, trust boundaries, and operational failure paths in observable repository/configuration evidence. Separate observed design from inference. Make each recommendation actionable, staged, reversible where possible, and advisory to the user’s scope.
Screenshot-first visual end-to-end validation policy for browser-rendered UI and webview jobs after verifier approval.
Default engineering workflow. Classify a technical request, route it through the native T1/T2/T3 engineering fleet, and return only independently verified completion to the orchestrator.
Safely operate Claude Code's opt-in advanced capabilities—sessions, worktrees, agent teams, Skills, MCP, plugins, hooks, Channels, schedules, goals, and Agent SDK integrations—when the user explicitly asks for one. Do not use for an ordinary build request.
Routes selective local Codex plan, code, verification, and visual judgment with evidence-backed blocking and strict cost caps.
Shared evidence, accessibility, context, and handoff rules for the local design-agent fleet.
Produces contextual creative theses and bounded visual directions without generic model defaults.
