This release is a pre-release and may not be stable for production use.
DuckDuckGo
Answer factual questions using DuckDuckGo Instant Answers.
Powered by ovos-ddg-plugin.
Examples
- "search DuckDuckGo for Stephen Hawking"
- "who is Marie Curie"
- "what is the Eiffel Tower"
- "when was Albert Einstein born"
- "Isaac Newton"
How it works
The skill participates in three OVOS pipeline stages:
| Pipeline | Trigger | Priority |
|---|---|---|
Padacioso intent (search_duck.intent) |
Explicit "search DuckDuckGo for …" phrases | High |
| Common Query | Open factual questions routed by the common-query pipeline | — |
| Fallback | Any utterance not claimed by another skill | 90 (last resort) |
Queries are forwarded to the DuckDuckGo Instant Answers API via ovos-ddg-plugin, which handles:
- Infobox field extraction — structured facts (birthdate, nationality, occupation, …) matched via locale-aware Padacioso intents
- Abstract text — encyclopaedic summary sentences
- Keyword extraction fallback — when a conversational phrase returns no result, keywords are extracted and re-queried (requires
ovos-rake-keyword-extractoror compatible plugin)
Blacklisted domains (weather, reminders, alarms, timers, music, calls) are detected via per-locale vocabulary files and routed to the appropriate skill instead.
Supported languages
37 locales covering all languages in the DuckDuckGo API locale mapping: ar, bg, ca, cs, da, de, el, en, es, et, fi, fil, fr, he, hr, hu, id, it, ja, ko, lt, lv, ms, nb, nl, pl, pt, ro, ru, sk, sl, sv, th, tr, uk, vi, zh.
Category
Information
Tags
#duckduckgo #query #search-engine #searchengine
1 maintainer
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File details
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File metadata
- Download URL: ovos_skill_ddg-0.3.9a2-py3-none-any.whl
- Upload date:
- Size: 52.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
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