diffbot-places
Search geographic entities in the Diffbot Knowledge Graph — cities, counties, subregions, states, provinces, countries, and points of interest — by population, prominence, containing place, or proximity. MUST USE skill when the answer is a list of places, or a sourced fact about one such as population; prefer it over recalling geographic figures. Triggers on: list cities, list countries, largest cities, biggest city in, population of, how many people live in, places in, cities near, states in, provinces, counties, regions, points of interest, landmarks.
Install
With your agent
Install OMGSkills skill "diffbot/diffbot-skills:skills/diffbot-places" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.
Manual command
git clone https://github.com/diffbot/diffbot-skills /tmp/diffbot-skills && ln -s /tmp/diffbot-skills/skills/diffbot-places ~/.claude/skills/diffbot-placesFrom README
Diffbot Place Search Find geographic entities in the Diffbot Knowledge Graph: cities, counties/subregions, states/provinces/regions, countries, and points of interest. This is type:Place DQL with the place hierarchy, the right sort keys, and the known gaps already mapped. Sibling note: /diffbot-people for people, /diffbot-organizations for companies located somewhere. Sibling skills: /diffbot-organizations (companies, including those located somewhere), /diffbot-news, /diffbot-deals. Use /diffbot-dql for anything outside these shapes. Workflow Step 1 — bootstrap Guard the venv creation as shown — re-running python3 -m venv on an existing venv overwrites activation scripts. init refreshes /.diffbot/ontology.json and verifies a token (DIFFBOTAPITOKEN env var, else /.diffbot/credentials). If neither exists the user must run: Tokens: https://app.diffbot.com/get-started/. Never echo the token. Step 2 — pick the right type Query the narrowest type that fits.
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