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Recover ChatGPT-, deep-research-, or other LLM-exported reports from paired markdown, DOCX, and PDF copies into source-faithful clean markdown by copying content as faithfully as possible, repairing structure, and using the DOCX to repair real links.
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
Structured outward reasoning for analysis, planning, decisions, diagnosis, and design — a direct-trial-first gate, a decision-relevant value-of-information stop gate, and five firing moves (name the kind, frame the problem not the solution, surface the warrant, decide for reversibility, stress-test) that point to the full grammar of thinking for depth. The outward pair to oak-metacognition's inward reflection. Use when facing a gnarly problem, choice, or analysis; especially when investigation or options keep proliferating and you must decide whether to build and observe, keep analysing, stop, or escalate.
Structured outward reasoning for analysis, planning, decisions, diagnosis, and design — a direct-trial-first gate, a decision-relevant value-of-information stop gate, and five firing moves (name the kind, frame the problem not the solution, surface the warrant, decide for reversibility, stress-test) that point to the full grammar of thinking for depth. The outward pair to oak-metacognition's inward reflection. Use when facing a gnarly problem, choice, or analysis; especially when investigation or options keep proliferating and you must decide whether to build and observe, keep analysing, stop, or escalate.
Explore an unshaped concept, phenomenon, recurring incident class, or messy set of observations before solution options or the decision question are well formed. Use when framing options immediately would foreclose the real question; run four alternating metacognition and reason movements to produce a well-formed understanding with warranted, falsifiable proposals. Do not use it as a separate pre-decision pass once the options or decision question are already well formed; continue through the estate's formed-decision workflow instead.
Explore an unshaped concept, phenomenon, recurring incident class, or messy set of observations before solution options or the decision question are well formed. Use when framing options immediately would foreclose the real question; run four alternating metacognition and reason movements to produce a well-formed understanding with warranted, falsifiable proposals. Do not use it as a separate pre-decision pass once the options or decision question are already well formed; continue through the estate's formed-decision workflow instead.
Join a foreign Practice estate and exchange safely with zero prior knowledge of it — the runnable join ceremony for cross-estate work. Fires whenever a session's worktree repo and coordination home are different repos, or the session is about to write into, register presence in, or claim work in any sibling Practice estate's substrate; read-only estate looks are unceremonied, and a solo write into a QUIET sibling estate takes the lighter governance-only path. Enacts the inter-Practice collaboration protocol PDR.
Join a foreign Practice estate and exchange safely with zero prior knowledge of it — the runnable join ceremony for cross-estate work. Fires whenever a session's worktree repo and coordination home are different repos, or the session is about to write into, register presence in, or claim work in any sibling Practice estate's substrate; read-only estate looks are unceremonied, and a solo write into a QUIET sibling estate takes the lighter governance-only path. Enacts the inter-Practice collaboration protocol PDR.
| name | oak-chatgpt-report-normalisation |
| description | Recover ChatGPT-, deep-research-, or other LLM-exported reports from paired markdown, DOCX, and PDF copies into source-faithful clean markdown by copying content as faithfully as possible, repairing structure, and using the DOCX to repair real links. |
Read and follow .agent/skills/chatgpt-report-normalisation/SKILL-CANONICAL.md.
