Individual skill
government-open-data
Use when a task needs official country-level statistics - "GDP / population / life expectancy / inflation / unemployment for country X over time", "compare indicator Y across countries", or EU-official figures ("Eurostat says…"). World Bank Indicators is the default (no key, every country, 1,400+ series back decades); Eurostat covers EU-official statistics. Do NOT use for a country's static facts like capital or currency - use geo-places instead; do NOT use for live FX rates or crypto - use finance-fx instead; if the request is a vague "I need live data", route through public-data-api-picker.
skills/government-open-data/SKILL.md
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- claude Repository topic
- claude-skills Repository topic
- skill-me Repository topic
- data Derived category
- finance Derived category
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# Government & Open Data
Pull official statistics from the World Bank and Eurostat keyless. The mistakes this prevents: quoting a GDP figure from training memory when the real series is one call away, and the two structural traps - World Bank's off-by-default JSON and its indicator-code lookup step - that make first attempts fail.
## Ranked APIs
1. **World Bank Indicators** (api.worldbank.org/v2) - DEFAULT. ~1,400 indicators × every country × back to 1960. No key. The catch: you query by opaque indicator code (`NY.GDP.MKTP.CD`), so the lookup step below is mandatory for unfamiliar metrics.
2. **Eurostat** (ec.europa.eu/eurostat/api) - EU-official statistics when the user wants the EU source of record or EU-only granularity. No key, JSON-stat format (denser to parse - shape below).
## Procedure
1. **Resolve the indicator code first.** Verified ones to use directly: `NY.GDP.MKTP.CD` (GDP, current US$), `SP.POP.TOTL` (population), `SP.DYN.LE00.IN` (life expectancy), `FP.CPI.TOTL.ZG` (inflation %), `SL.UEM.TOTL.ZS` (unemployment %). Anything else: search `https://api.worldbank.org/v2/indicator?format=json&per_page=50&source=2` filtered client-side, or hit `/v2/indicator/{guess}?format=json` to confirm a code exists before building the real query. Never invent a code - a bad code returns an error object inside a 200. Emissions codes (`EN.ATM.CO2E.PC`, `EN.GHG.*`) are served from a chronically failing backend - expect 502s/hangs and fall back to Eurostat (`env_air_gge`) for EU countries rather than retry-looping.
2. **Always append `format=json`.** The World Bank default is XML; forgetting this is the #1 failure.
3. **Prefer `mrv=N` over `date=` for "latest" queries.** `mrv=10` (most recent 10 values) hits the API's cache and skips the null-trimming problem; `date=` ranges on less-trafficked indicators frequently hang or 502 where the same indicator's `mrv` query answers instantly.