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resolve
Apply a preceding plan/output chain to the content, then remove all tags.
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 preceding plan/output chain to the content, then remove all tags.
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 | resolve |
| description | Apply a preceding plan/output chain to the content, then remove all tags. |
Finalize a revision by applying the plan from preceding tags to the original content.
<@plan: ...><@output: ...><@resolve> or a multi-turn chain like <@plan: ...><@output: ...><@plan: ...><@output: ...><@resolve>).The tag chain may contain a single <@plan>/<@output> pair, or a multi-turn conversation consisting of multiple <@plan>/<@output> pairs. Each pair represents one turn of iterative refinement.
<@plan>/<@output> pairs in sequence. The final <@output> represents the most refined plan, but earlier turns provide context for intent and constraints.<@output> takes precedence, but use earlier turns to resolve ambiguity about what the user intended.The original content may contain scope modifier tags that constrain which regions the plan can be applied to.
<< >>: Text inside << and >> must NOT be modified, even if the plan suggests changes to it. Remove the << >> delimiters in the output, but keep the content unchanged.(( )): ONLY the text inside (( and )) may be modified by the plan. The surrounding text is context only — do not change it. Remove the (( )) delimiters in the output.If neither modifier is present, the entire original content is editable (default behavior).
<@plan: ...>, <@output: ...>, <@resolve>) and all scope modifier delimiters (<< >>, (( ))) must be removed; only clean text remains.Find and insert citations to support a claim in the surrounding text.
Router — scan a file for <@skill: prompt> tags and dispatch each to the matching skill subagent.
Produce a revision plan for the surrounding text based on the prompt. Supports multi-turn conversation chains.
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Generic text edit — modify surrounding content according to the prompt.
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