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Deep strategic or general research playbook. Use for broad market, product, business, policy, or multi-domain research that needs synthesis and recommendations.
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
Basado en la clasificación ocupacional SOC
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.
| name | research-strategic-general |
| description | Deep strategic or general research playbook. Use for broad market, product, business, policy, or multi-domain research that needs synthesis and recommendations. |
| user-invocable | false |
For deep strategic/general work, write all eleven sections: Executive Summary; Subject Overview & Context; Comprehensive Market Analysis; Competitive Landscape; Deep-Dive Topical Analysis; SWOT Analysis; Strategic Recommendations; Risk Assessment & Mitigation; Implementation Roadmap; Knowledge Gaps & Further Research; Appendices and Source Ledger.
Include the relevant stakeholders, alternatives, incentives, interdependencies, second-order effects, regional/cultural variation, exceptions, contrarian views, resources, failure modes, and measurable validation. Distinguish established facts, expert consensus, emerging evidence, and speculation. Recommendations must answer What, So what, and Now what without claiming authority over user decisions.
