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artifact-coherence
Use when decisions span multiple artifacts and drift risk is high. Keep source-of-truth and downstream outputs synchronized.
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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Use when decisions span multiple artifacts and drift risk is high. Keep source-of-truth and downstream outputs synchronized.
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 | artifact-coherence |
| description | Use when decisions span multiple artifacts and drift risk is high. Keep source-of-truth and downstream outputs synchronized. |
Use this skill when at least one is true:
Treat source-of-truth artifacts as infrastructure. Update them when downstream work changes the underlying decision.
Run coherence checks inline. Do not invoke task, slash commands, or subagents from this gate. If
another agent would be useful, return a scoped handoff to the caller instead of launching it.
none, minor, or material.Return:
Artifact map: upstream and downstream files.Drift findings: mismatch, severity, and impact.Update order: exact sequence to restore coherence.Verification: checks proving synchronization.Use when writing technical articles, blog posts, X/Twitter threads, LinkedIn posts, documentation, runbooks, or any text that must sound like a specific person, not a generic assistant. Also use when the user asks to humanize text, remove AI-sounding language, rewrite in their voice, or convert rough notes into publishable content. Trigger even when the user just says "write this up" or "draft a post about X" without explicitly mentioning voice or tone.
Use when reviewing architecture, planning refactors, reducing coupling, improving testability, or deciding whether modules should become deeper behind simpler interfaces.
Use when the user asks for caveman mode, terse mode, fewer tokens, less prose, or very brief technical communication.
Use for hard bugs, failing checks, pipeline failures, homelab incidents, performance regressions, or reports that something is broken and needs root-cause analysis.
Use before git mutation, branch deletion, resets, cleaning, force pushes, broad restore commands, PR operations, or any git action with destructive or remote side effects.
Use when a plan, design, or implementation request has ambiguity that could change scope, architecture, acceptance criteria, safety, or validation.