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Tw gov data

Skill lloyd3126/chenchungnien-skills/skills/tw-gov-data

Search, inspect, compare, and summarize datasets from data.gov.tw. Use when the user wants Taiwan government open datasets, dataset metadata, resource download links, provider information, update times, formats, recent changes, or bulk dataset inventory from data.gov.tw.From its SKILL.md

Install
npx -y skills add lloyd3126/chenchungnien-skills --skill tw-gov-data

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SKILL.md

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Taiwan Government Open Data

Use this skill when the user wants to discover, inspect, compare, or inventory datasets listed on data.gov.tw.

This skill is for dataset discovery and metadata inspection, not schema validation. Do not use schema.gov.tw for this skill unless the user explicitly changes scope.

When To Use This Skill

  • The user wants datasets from data.gov.tw
  • The user wants dataset metadata, update times, formats, or providers
  • The user wants resource download links or access URLs
  • The user wants to compare candidate datasets
  • The user wants a recent-change list or a bulk dataset inventory

When Not To Use This Skill

  • Do not validate field values against government schema rules
  • Do not infer or enforce schema.gov.tw URIs
  • Do not analyze the actual data rows until the correct dataset resource has been identified
  • Do not promise that two datasets share the same field standard unless the source explicitly says so
  • Do not assume every resource URL is hosted by data.gov.tw; many resources point to external agency systems

Data Sources

Prefer data.gov.tw APIs over page scraping.

See API quick reference for endpoint selection and common metadata fields. See prompt examples for representative user intents this skill should handle. See maintenance guidance for when this skill should be reviewed or updated.

  • Prefer the live site-facing APIs on https://data.gov.tw/api/front
  • Use dataset export for bulk inventory tasks
  • Treat the published api/v1/rest cross-platform spec as documented but not operational until re-verified
  • Avoid page scraping unless the APIs do not expose the needed view

Default Workflow

  1. Clarify the user goal from the request.
  2. Choose the API path:
    • If the user wants keyword search or candidate discovery, use api/front/dataset/list.
    • If the user wants a bulk inventory, use api/front/dataset/export?format=json.
    • If the user already has a dataset page id (nid), use search results, export data, or a page-backed API only if needed.
  3. Retrieve the minimum data needed first.
  4. Summarize the results before expanding into more datasets.
  5. When listing candidate datasets, include why each one is relevant.
  6. When available, surface resource links, file formats, update times, provider, and field descriptions.

Response Priorities

When presenting a dataset, prioritize:

  • title
  • provider or agency
  • last updated time
  • update frequency
  • dataset description
  • key fields
  • available resource formats
  • download or access URLs

When comparing datasets, highlight:

  • topic overlap
  • update freshness
  • machine-readable formats
  • whether the resource appears to be downloadable files or service endpoints

Typical User Intents

  • "幫我找空氣品質相關的政府資料"
  • "列出最近 7 天異動的交通資料集"
  • "比較這幾份資料哪份比較適合分析"
  • "幫我整理某個資料集有哪些下載格式"
  • "找某個機關目前公開了哪些資料集"
  • "把某主題的資料集做成盤點清單"

Output Guidance

For a single dataset, provide a concise summary.

For multiple datasets, prefer a short ranked list. Each item should explain:

  • what the dataset is
  • why it is relevant
  • what formats or resource URLs are available

For bulk inventory tasks, provide:

  • the selection rule used
  • the total count when available
  • a compact list or table-ready summary

Cautions

  • One dataset may contain multiple resources.
  • Different resources under the same dataset may have different formats, encodings, and update times.
  • Some datasets expose service endpoints, while others expose downloadable files.
  • Always identify the correct resource URL before attempting downstream data work.

Mutating Operations

The formal cross-platform specification includes write operations such as create, update, and delete for metadata.

Do not use mutating endpoints unless the user explicitly asks to publish, edit, or remove dataset metadata and the environment is clearly authorized for that action.

What ships with it: 4 files

12.1 KB alongside SKILL.md

agents/

references/

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