YottaMeta

Yotta School Doc — AI skill for Claude Code

AI community

Local, deterministic school-document skeleton and validation skill for AI agents: versioned rule packs + structured facts -> reproducible skeletons with checks for missing fields, dates, attachments.

How to install Yotta School Doc

This entry records only its repository, not the path inside it, so there is no exact command to give. Open YottaMeta/yotta-school-doc and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Yotta School Doc does

Local, deterministic school-document skeleton and validation skill for AI agents: versioned rule packs + structured facts -> reproducible skeletons with checks for missing fields, dates, attachments, placeholders, student data exposure, overclaims and meeting action items. Zero-dependency, no network, no fabricated facts.

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README

Language: English · 中文

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yotta-school-doc · 元公 (YuanGong)

YottaMeta's deterministic drafting-skeleton and validation skill for school documents: turn a versioned document-type rule pack and a structured facts file into a reproducible skeleton, then check an existing draft for missing fields, date issues, attachment mismatches, placeholders, student personal data, overclaims, sensitive wording and incomplete meeting action items.

Pure Python 3.8+ standard library, zero dependencies; local-only — no network, no model calls, no upload, no fabricated facts.

License: MIT Standard: agentskills.io npm package

Why

School documents are repetitive, but they are also high-stakes: wrong dates, missing attachments, unfilled placeholders or student personal data can become real problems. Generic writing assistants optimize for fluent prose. 元公 optimizes for a smaller, verifiable job:

  • make missing facts visible as 〔待补〕;
  • make structural gaps reproducible and reviewable;
  • keep school drafts and context on the local machine.

Features

  • Eight built-in document types: notice, parents letter, request, report, work summary, meeting minutes, work plan and briefing.
  • draft: turn structured facts into a Markdown or JSON skeleton.
  • check: validate an existing draft with evidence lines.
  • types: list, show and validate built-in or custom rule packs.
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