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JiuNian3219
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archi-data-sync

Compare Agent outputs against global governance files and produce a review-ready Diff.

14|Updated Feb 6, 2026
Search Tags:#data-quality#data-governance#diff-generation#incremental-sync#compliance-audit#governance-rules
One-click install
npx skills add https://github.com/JiuNian3219/architext --skill archi-data-sync
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: archi-data-sync
Source: https://github.com/JiuNian3219/architext/tree/main/templates/zh/skills/archi-data-sync
Command: npx skills add https://github.com/JiuNian3219/architext --skill archi-data-sync

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

数据治理同步执行器。在独立上下文中扫描主 Agent 产出，对比全局数据文件的现有状态，按 03_data_governance.md 规则执行增量同步，返回变更 Diff。

Core Features & Use Cases

  • 增量对齐：在独立上下文中对主 Agent 的产出进行对比，识别未登记的业务术语、错误码、数据模型变更并生成 Diff。
  • 符合规则执行：严格遵循 03_data_governance.md 作为唯一权威规则源，确保变更合规性。
  • 审签驱动工作流：输出可审阅的变更 Diff，等待主 Agent(Signoff)确认后再进入后续阶段。

Quick Start

Run an incremental sync between the main Agent outputs and the global data files, then return a review-ready Diff.

Frequently Asked Questions about archi-data-sync

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate incremental data governance sync for Agent outputs?▼

Incremental data governance sync is automated by comparing Agent outputs against global governance files, applying append-only changes across dictionary.json, error_codes.json, and data_snapshot.json to produce a review-ready Diff.

What is incremental diff generation for data governance compliance?▼

Incremental diff generation is the process of identifying unregistered business terms, error codes, and data model changes by comparing current outputs against existing global state, ensuring changes align with governance rules.

How do I generate a sign-off Diff for unregistered business terms and error codes?▼

Generate a sign-off Diff by scanning Agent outputs in an isolated context, comparing them against dictionary.json and error_codes.json, and returning the changes for review before appending them to the global state.

Does data governance sync enforce boundary checks and safe append-only updates?▼

Yes, data governance sync enforces boundary checks and safe append-only updates per the 03_data_governance.md rules, ensuring that no destructive modifications occur during the incremental synchronization process.

When do I need an isolated context for data quality and compliance audit tasks?▼

An isolated context is needed when scanning main Agent outputs to ensure the comparison against global data files remains unbiased, producing a compliant Diff without risking direct modifications to the existing state.

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