government-open-data
Skill0 starsChanged 38 days agoMITView on GitHub
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.
In this repository8 other files it gives its agents.
- finance-fxSkill
- fun-contentSkill
- geo-placesSkill
- language-referenceSkill
- public-data-api-pickerSkill
- space-earth-scienceSkill
- test-placeholder-dataSkill
- weather-climateSkill
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 2 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 25
Ask the user only if missing: countries (no default), metric (no default), years (default: last 10 published).
- Very specific: line 68
US Census API (api.census.gov): - every endpoint now requires a key (free signup, but it cannot be liveness-verified keyless, so it ships …
- Distinctive: line 76
No indicator code was invented.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
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
- 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. - 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
- 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: searchhttps://api.worldbank.org/v2/indicator?format=json&per_page=50&source=2filtered client-side, or hit/v2/indicator/{guess}?format=jsonto 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. - Always append
format=json. The World Bank default is XML; forgetting this is the #1 failure. - Prefer
mrv=Noverdate=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'smrvquery answers instantly. - Handle nulls. Recent years are often
null(reporting lag ~1-2 years); the latest published value is not the latest year. Report the year you actually used. - Compare countries in one call with
country/US;CN;DE/...(semicolon-separated ISO codes), not N calls.
Ask the user only if missing: countries (no default), metric (no default), years (default: last 10 published).
URL templates + real response shapes
Indicator series:
https://api.worldbank.org/v2/country/US/indicator/SP.POP.TOTL?format=json&mrv=10
https://api.worldbank.org/v2/country/US;CN;DE/indicator/NY.GDP.MKTP.CD?format=json&mrv=1&per_page=100
https://api.worldbank.org/v2/country/US/indicator/SP.POP.TOTL?format=json&date=2013:2022 ← explicit range[{"page":1,"pages":1,"per_page":50,"total":1,"lastupdated":"2026-07-01"},
[{"indicator":{"id":"SP.POP.TOTL","value":"Population, total"},
"country":{"id":"US","value":"United States"},
"date":"2022","value":333996304,"unit":"","obs_status":""}]]Gotchas: the top level is a two-element array - [0] is paging metadata, [1] is the data (or null when the query matched nothing - check before iterating). Rows are newest-first. value: null means not-yet-reported. Default page size is 50 - set per_page on multi-country/multi-year pulls.
Country metadata (income level, region, capital):
https://api.worldbank.org/v2/country/JPN?format=json[1][0] carries incomeLevel.value ("High income"), region.value, capitalCity. Aggregates like "European Union" have region.id: "" - filter them out of per-country rankings.
Eurostat:
https://ec.europa.eu/eurostat/api/dissemination/statistics/1.0/data/{dataset}?format=JSON&geo=DE&time=2023Example dataset: tps00001 (population). Response is JSON-stat: values live in value keyed by a flat index ({"value":{"0":83118501}}), decoded via dimension.{geo,time}.category.index. With one geo and one time filter, index "0" is your number; for anything multi-dimensional, filter server-side (&geo=DE&geo=FR) to keep the index math trivial. Find dataset codes by searching "eurostat" + the metric name; the code is in the dataset's URL on the Eurostat site.
Deliverable
The series or comparison as a small table - country × year × value with units and the indicator's full name - plus the exact URL used and the lastupdated date, with any null years called out.
Do NOT use - reach for X instead
- US Census API (api.census.gov) - every endpoint now requires a key (free signup, but it cannot be liveness-verified keyless, so it ships as a pointer only: sign up, then
get=NAME,B01001_001E&for=state:*&key=...on the ACS datasets). - data.gov CKAN API (catalog.data.gov/api/3) - returns 404 on every action endpoint, verified. Use each agency's own API instead of the catalog.
- Static country facts (capital, currency, flag, language) - geo-places; this skill is time-series statistics.
- Live market prices, FX - finance-fx.
- OECD/IMF deep dives - out of pack scope; World Bank mirrors most headline series, name it as the tradeoff.
Quality bar
- No indicator code was invented; unfamiliar metrics went through the lookup step.
[1] === nullandvalue: nullhandled; the reported year is the year of the data.- Statistics come from the API response, never from training memory - with
lastupdatedquoted. - A 502 or hang produced one
mrvretry or an Eurostat fallback, not a retry loop.
Sourced and liveness-verified from the public-apis project (MIT).
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