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Access World Bank development indicators and country statistics
Install World Bank Data Guide
$ npx skills add wentorai/research-plugins --skill world-bank-data-guide -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install wentorai/research-plugins world-bank-data-guide --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/domains/economics/world-bank-data-guide .claude/skills/world-bank-data-guide && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "world-bank-data-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/domains/economics/world-bank-data-guide into .claude/skills/world-bank-data-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "world-bank-data-guide", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/wentorai/research-plugins/tree/main/skills/domains/economics/world-bank-data-guideType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add wentorai/research-plugins --skill world-bank-data-guide -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install wentorai/research-plugins world-bank-data-guide --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/domains/economics/world-bank-data-guide .agents/skills/world-bank-data-guide && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "world-bank-data-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/domains/economics/world-bank-data-guide into .agents/skills/world-bank-data-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "world-bank-data-guide", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add wentorai/research-plugins --skill world-bank-data-guide -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install wentorai/research-plugins world-bank-data-guide --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/domains/economics/world-bank-data-guide .cursor/skills/world-bank-data-guide && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "world-bank-data-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/domains/economics/world-bank-data-guide into .cursor/skills/world-bank-data-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "world-bank-data-guide", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/wentorai/research-plugins.git --path skills/domains/economics/world-bank-data-guide--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add wentorai/research-plugins --skill world-bank-data-guide -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install wentorai/research-plugins world-bank-data-guide --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/domains/economics/world-bank-data-guide .gemini/skills/world-bank-data-guide && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "world-bank-data-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/domains/economics/world-bank-data-guide into .gemini/skills/world-bank-data-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "world-bank-data-guide", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install wentorai/research-plugins world-bank-data-guideInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add wentorai/research-plugins --skill world-bank-data-guide -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/domains/economics/world-bank-data-guide .github/skills/world-bank-data-guide && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "world-bank-data-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/domains/economics/world-bank-data-guide into .github/skills/world-bank-data-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "world-bank-data-guide", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add wentorai/research-plugins --skill world-bank-data-guide -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install wentorai/research-plugins world-bank-data-guide --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/domains/economics/world-bank-data-guide .opencode/skills/world-bank-data-guide && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "world-bank-data-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/domains/economics/world-bank-data-guide into .opencode/skills/world-bank-data-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "world-bank-data-guide", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
world-bank-data-guide- GitHub stars
- 298
- Used in
- 1 other repo
- Token cost
- ~1.8k tokens
- SKILL.md length
- 506 words
- Files
- 1
- Skills in repo
- 405
- Repo updated
- First seen
- Licence
- MIT
At a glance
Access World Bank development indicators and country statistics
- Tasks that involve Statistics
- SKILL.md covers Overview, Authentication, Core Endpoints and Common Research Patterns, plus 2 more sections
- Calls curl and python3; reaches api.worldbank.org
What it does
World Bank Data Guide is an agent skill from wentorai/research-plugins. Access World Bank development indicators and country statistics
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Data & Analytics, covering Statistics. The repository describes itself as: 350+ academic research skills, MCP configs, and plugins for Research-Claw and AI agents. The licence is MIT.
When your agent uses it
- Tasks that involve Statistics
Example prompts
- “/world-bank-data-guide”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit bf44b3c. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
curlpython3
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
api.worldbank.org
Also links to:
data.worldbank.orgdatahelpdesk.worldbank.org
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
World Bank Data Guide loads about 1.8k tokens when it runs. Until then it costs about 21 tokens; SKILL.md has 506 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from wentorai/research-plugins at commit bf44b3c, republished under its MIT licence (© wentorai). 506 words, ~1,818 tokens.
Download SKILL.mdSave it as
.claude/skills/world-bank-data-guide/SKILL.md (or your agent's skills folder).- name
- world-bank-data-guide
- description
- Access World Bank development indicators and country statistics
World Bank Data API Guide
Overview
The World Bank Data API provides free access to one of the most comprehensive collections of global development data available. The Indicators API covers over 16,000 development indicators across 217 countries and territories, with time series data spanning several decades. Topics include poverty and inequality, health outcomes, education statistics, infrastructure, trade, environmental metrics, and governance indicators.
This API is a cornerstone resource for researchers in development economics, public health, education policy, environmental science, and political science. The World Bank's data is widely cited in academic publications and policy documents, making it an authoritative source for cross-country comparative research.
The API is entirely free, requires no authentication, and returns data in JSON, XML, or other formats. The v2 API supports pagination, filtering by date ranges and income levels, and provides metadata about indicators and data sources.
Authentication
No authentication is required. The World Bank Data API is free and open.
# No API key needed
curl "https://api.worldbank.org/v2/country/US/indicator/NY.GDP.MKTP.CD?format=json&date=2020:2024"Core Endpoints
Get Indicator Data by Country
GET https://api.worldbank.org/v2/country/{country_code}/indicator/{indicator_code}?format=jsonParameters:
country_code: ISO 2-letter or 3-letter code; useallfor all countriesindicator_code: World Bank indicator codeformat:jsonorxml(default xml)date: Year range (e.g.,2015:2024)per_page: Results per page (default 50, max 32500)page: Page number
Common Indicators:
NY.GDP.MKTP.CD: GDP (current US$)NY.GDP.PCAP.CD: GDP per capita (current US$)SP.POP.TOTL: Total populationSI.POV.DDAY: Poverty headcount ratio at $2.15/daySE.ADT.LITR.ZS: Adult literacy rateSH.XPD.CHEX.GD.ZS: Current health expenditure (% of GDP)EN.ATM.CO2E.PC: CO2 emissions (metric tons per capita)
Example: GDP per capita for BRICS nations:
curl -s "https://api.worldbank.org/v2/country/BR;RU;IN;CN;ZA/indicator/NY.GDP.PCAP.CD?format=json&date=2019:2023&per_page=100" \
| python3 -m json.toolList All Indicators
curl -s "https://api.worldbank.org/v2/indicator?format=json&per_page=50" \
| python3 -m json.toolSearch Indicators by Topic
curl -s "https://api.worldbank.org/v2/topic/8/indicator?format=json&per_page=20" \
| python3 -m json.toolTopics include: 1=Agriculture, 3=Economy, 4=Education, 6=Environment, 8=Health, 11=Poverty, etc.
Get Country Metadata
curl -s "https://api.worldbank.org/v2/country/CN?format=json" \
| python3 -m json.toolPython Example: Cross-Country Development Analysis
import requests
import time
BASE_URL = "https://api.worldbank.org/v2"
def get_indicator(indicator_code, countries="all", date_range="2015:2023", per_page=500):
"""Fetch World Bank indicator data."""
url = f"{BASE_URL}/country/{countries}/indicator/{indicator_code}"
params = {
"format": "json",
"date": date_range,
"per_page": per_page
}
resp = requests.get(url, params=params)
resp.raise_for_status()
data = resp.json()
if len(data) < 2:
return []
return data[1]
# Compare health expenditure vs life expectancy
health_exp = get_indicator("SH.XPD.CHEX.GD.ZS", countries="US;GB;DE;JP;BR;IN", date_range="2020")
for record in health_exp:
if record["value"] is not None:
country = record["country"]["value"]
year = record["date"]
value = record["value"]
print(f"{country} ({year}): {value:.1f}% of GDP on health")Python Example: Build a Panel Dataset
import requests
import csv
def build_panel(indicators, countries, years):
"""Build a panel dataset from multiple World Bank indicators."""
panel = {}
for ind_code, ind_name in indicators.items():
url = f"https://api.worldbank.org/v2/country/{countries}/indicator/{ind_code}"
params = {"format": "json", "date": years, "per_page": 5000}
resp = requests.get(url, params=params)
data = resp.json()
if len(data) < 2:
continue
for record in data[1]:
key = (record["country"]["id"], record["date"])
if key not in panel:
panel[key] = {"country": record["country"]["value"], "year": record["date"]}
panel[key][ind_name] = record["value"]
return list(panel.values())
indicators = {
"NY.GDP.PCAP.CD": "gdp_per_capita",
"SP.POP.TOTL": "population",
"SE.ADT.LITR.ZS": "literacy_rate"
}
data = build_panel(indicators, "BR;IN;NG;ID", "2018:2023")
for row in data[:10]:
print(row)Show full SKILL.md (230 more words)Show less
Common Research Patterns
Development Panel Regressions: Combine multiple indicators across countries and years to construct panel datasets for econometric analysis. Study relationships between education spending, health outcomes, and economic growth.
Poverty and Inequality Analysis: Track poverty headcount ratios, Gini coefficients, and income share data across countries and over time to study the effectiveness of development interventions.
Environmental-Economic Nexus: Combine CO2 emissions, renewable energy, and GDP data to study the Environmental Kuznets Curve or the decoupling of economic growth from environmental degradation.
Policy Evaluation: Compare indicator trajectories before and after major policy reforms across treated and comparison countries using difference-in-differences or synthetic control methods.
Rate Limits and Best Practices
- No authentication required and no strict rate limit, but keep requests to 1-2 per second
- Pagination: Default 50 results per page; set
per_page=32500for single-page retrieval of most queries - Format: Always specify
format=jsonas the default is XML - Null values: Many indicators have null values for certain country-year combinations; always check for nulls
- Country groups: Use aggregate codes like
EUU(EU),WLD(World),LIC(Low Income) for pre-computed aggregates - MRV parameter: Use
MRV=1to get the most recent value for each country when the latest year varies - Bulk downloads: For large-scale analysis, consider the bulk download options at https://data.worldbank.org/
References
- World Bank Indicators API Documentation: https://datahelpdesk.worldbank.org/knowledgebase/articles/889392-about-the-indicators-api
- World Bank Data Portal: https://data.worldbank.org/
- World Bank Indicator List: https://data.worldbank.org/indicator
- World Bank API Query Builder: https://datahelpdesk.worldbank.org/knowledgebase/articles/898581-api-basic-call-structures
© wentorai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/domains/economics/world-bank-data-guide of wentorai/research-plugins.
Open the folder on GitHubat commit bf44b3c
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in wentorai/research-plugins, which our catalogue first saw on October 7, 2026.
Compare with similar skills
World Bank Data Guide next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| World Bank Data Guide this skillwentorai/research-plugins | 298 | 1 repos | ~1.8k | Automated safety check: Pass | MIT | |
| Sandbox Benchvercel/next.js | 143k | — | ~4.1k | Automated safety check: Pass | MIT | |
| Statistical Analysisspacering-net/codeg | 3.9k | 3 repos | ~5k | Automated safety check: Pass | MIT | |
| StatsmodelszLanqing/codex-claude-academic-skills | 4.7k | 15 repos | ~4.9k | Automated safety check: Pass | BSD-3-Clause | |
| AI Daily DigestvigorX777/ai-daily-digest | 1.6k | — | ~1.3k | Automated safety check: Pass | None | |
| Statistical Powerspacering-net/codeg | 3.9k | 1 repos | ~3.6k | Automated safety check: Notes | MIT |
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Questions about World Bank Data Guide
What does World Bank Data Guide do?
Access World Bank development indicators and country statistics. World Bank Data Guide is an agent skill from wentorai/research-plugins.
When should I use World Bank Data Guide?
World Bank Data Guide fits situations like: tasks that involve Statistics.
How do I install World Bank Data Guide in Claude Code?
Run `npx skills add wentorai/research-plugins --skill world-bank-data-guide -a claude-code`. Or copy the skill folder (skills/domains/economics/world-bank-data-guide in wentorai/research-plugins) into .claude/skills/world-bank-data-guide in your project. Claude Code loads it when a task matches its description.
How do I install World Bank Data Guide in Codex?
Run `npx skills add wentorai/research-plugins --skill world-bank-data-guide -a codex`. Or copy the skill folder (skills/domains/economics/world-bank-data-guide in wentorai/research-plugins) into .agents/skills/world-bank-data-guide in your project. Codex loads it when a task matches its description.
Can I use World Bank Data Guide in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add wentorai/research-plugins --skill world-bank-data-guide -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/world-bank-data-guide, .gemini/skills/world-bank-data-guide, .github/skills/world-bank-data-guide and .opencode/skills/world-bank-data-guide in your project.
What does World Bank Data Guide need to run?
Going by SKILL.md and its folder, World Bank Data Guide needs the command-line tools its instructions call (curl and python3). Our summary lists: Python 3.
Does World Bank Data Guide access the network?
SKILL.md names 3 domains. In commands or code: api.worldbank.org; the agent is likely to contact it when it follows the instructions. As links in the text: data.worldbank.org and datahelpdesk.worldbank.org. This is read from the text; nothing was executed.
Is World Bank Data Guide safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does World Bank Data Guide use?
World Bank Data Guide is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does World Bank Data Guide use?
About 1.8k tokens (SKILL.md is roughly 7.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to World Bank Data Guide?
Skills that share tags, products or a category with World Bank Data Guide: Sandbox Bench (vercel/next.js, 143k stars), Statistical Analysis (spacering-net/codeg, 3.9k stars), Statsmodels (zLanqing/codex-claude-academic-skills, 4.7k stars) and AI Daily Digest (vigorX777/ai-daily-digest, 1.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains World Bank Data Guide?
wentorai (a GitHub user) maintains it in wentorai/research-plugins, which has 298 GitHub stars. The repository holds 405 skills in this directory. The repository was last updated on June 19, 2026.
Source: wentorai/research-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.