feat: 迁移统一目录元数据契约 (#102)

## 中文

- 为 System Agent、34 个 Builtin Skill、28 个 Pointer/Collection 条目增加 catalog
sidecar
- 覆盖 147 个 collection child,并固定可证明的来源;无法证明的内容保持 listing-only/unknown
- 增加 strict Schema、validator、collection check 与 CI 完整性门禁

## English

- Add catalog metadata sidecars for the System Agent, 34 built-in
Skills, and 28 pointer/collection entries
- Cover 147 collection children while keeping unverifiable facts
listing-only or unknown
- Add strict schemas, validators, deterministic collection checks, and
CI completeness gates

## 验证 / Verification

- Catalog validator 17/17
- Collection generator 4/4
- 63 sidecars, 147 children, zero errors
This commit is contained in:
2026-08-31 04:10:49 -04:00
committed by GitHub
parent 40944ca1d3
commit a205ef20f0
80 changed files with 10734 additions and 21 deletions

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{
"$schema": "../../schemas/catalog-metadata.v1.schema.json",
"schemaVersion": 1,
"identity": {
"kind": "skill",
"id": "xlsx"
},
"presentation": {
"defaultLocale": "en-US",
"i18n": {
"zh-CN": {
"name": "电子表格处理",
"summary": "创建、编辑和处理 Excel 电子表格(.xlsx",
"description": "Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like \"the xlsx in my downloads\") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved. Use when 用户提到 Excel、 电子表格、xlsx、表格处理、公式计算、数据清洗、图表、CSV导入导出。"
},
"en-US": {
"name": "Spreadsheet Processing",
"summary": "Create, edit, and process Excel spreadsheets (.xlsx)",
"description": "Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like \"the xlsx in my downloads\") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved. Use when the user mentions Excel, spreadsheets, xlsx, table processing, formula computation, data cleaning, charts, or CSV import/export."
}
},
"category": "productivity",
"tags": [
"xlsx",
"excel",
"spreadsheet",
"office"
]
},
"release": {
"state": "known",
"version": "1.0.3",
"versionScheme": "semver"
},
"timestamps": {
"catalogUpdatedAt": {
"state": "known",
"value": "2026-07-07T13:14:31Z",
"precision": "second"
},
"releasePublishedAt": {
"state": "unknown"
},
"reviewedAt": {
"state": "unknown"
},
"upstreamObservedAt": {
"state": "unknown"
}
},
"provenance": {},
"governance": {
"stewardship": "community",
"availability": "installable",
"license": {
"state": "unknown"
},
"redistribution": "verify-package-terms",
"listingMaintainer": {
"name": "DesireCore Official",
"verified": true
},
"upstreamMaintainer": {
"name": "anthropic",
"verified": false
}
},
"compatibility": {
"platforms": {
"state": "unknown"
}
},
"spec": {
"kind": "skill",
"riskLevel": "low",
"skillType": "procedural"
}
}