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ultrathink
Apply a deep, design-minded engineering workflow for complex work that needs careful planning, iteration, and simplification.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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Apply a deep, design-minded engineering workflow for complex work that needs careful planning, iteration, and simplification.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| name | ultrathink |
| description | Apply a deep, design-minded engineering workflow for complex work that needs careful planning, iteration, and simplification. |
| user-invocable | true |
| argument-hint | [problem, architecture decision, or complex topic] |
Use this skill when the user explicitly asks for ultrathink, asks for unusually deep planning, or the work is complex enough that careful design judgment matters more than speed.
Adopt a craftsman mindset for the current task:
Improve, audit, simplify, rewrite, or migrate prompts, tool descriptions, agent instructions, and prompt stacks for GPT-5.6 Sol or the GPT-5.6 family. Use for outcome-first prompt design, autonomy boundaries, tool routing, PTC, grounding, verbosity, reasoning effort, and prompt evals.
Use when preparing or running a Claude CLI agentic engineering review through claude -p for repository audits, architecture analysis, system design, security review, large refactors, specs, RFCs, or evidence-grounded long-form engineering analysis.
Use when preparing or running a ZCode GLM-5.2 agentic builder workflow through zcode --prompt for fast implementation, iterative code generation, focused fixes, and validation on an existing repository.
Apply adversarial opposite-analysis to plans, specs, architecture, code changes, and claims. Use when the user asks for adversarial review, opposing analysis, contrarian review, red-team reasoning, or Z.ai and MiniMax cross-checks through the Ralph MCP router.
Review and adjudicate Bugbot, Cursor, Seer, and similar automated PR feedback with local evidence before accepting, fixing, or dismissing findings.
Find real bugs in local code, branch diffs, or named surfaces with evidence-first triage, regression-test guidance, and Codex-native verification.