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Structured peer review for analytical work. Use when reviewing teammates' analysis, providing constructive feedback, or establishing analysis quality standards.
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
Track and document analytical assumptions and decisions. Use when making analytical choices, documenting trade-offs, ensuring transparency, or creating audit trails for analytical work.
Structured, reproducible analysis documentation. Use when documenting analysis findings, creating analysis notebooks, ensuring reproducibility, or building analysis archives for future reference.
Create standardized metadata for data assets. Use when documenting new datasets, building data catalogs, improving data discoverability, or creating data dictionaries for teams.
Trace and resolve discrepancies when the same metric shows different values in two or more sources. Use before reporting, after pipeline changes, or when stakeholders question a number.
Document column-level mappings between source and target schemas. Use when integrating data from multiple systems, designing ETL transformations, or documenting how raw fields become analytical assets.
Translate SQL queries into plain language business logic. Use when documenting queries, explaining analysis to non-technical stakeholders, code reviewing for correctness, or building a query catalog.
| name | peer-review-template |
| description | Structured peer review for analytical work. Use when reviewing teammates' analysis, providing constructive feedback, or establishing analysis quality standards. |
Before any analysis that will influence a significant decision is delivered to stakeholders. Peer review should be part of the standard delivery checklist for: dashboards going into production, reports used for strategic decisions, A/B test conclusions, and any analysis that will be cited externally.
references/peer_review_framework.md to set expectations.references/analytical_rigor_checklist.md: are the question and method aligned? Are assumptions valid? Is the conclusion supported by the data?references/code_review_for_analysis.md: reproducibility, correctness, readability, and performance.assets/peer_review_template.md: must-fix issues, should-fix suggestions, and optional improvements. Be specific; "this is unclear" is not actionable.assets/review_response_template.md.assets/peer_review_template.md.peer_review_template.md)review_response_template.md)