Multi-source retrieval with confidence scoring - web, academic, and Tavily in one unified API
What this skill does
Intelligent search for agents. Multi-source retrieval with confidence scoring - web, academic, and Tavily in one unified API.
Multi-source retrieval with confidence scoring - web, academic, and Tavily in one unified API is part of the Developer Tools category — developer tools that help your agent write, review, debug, and ship code. You can install it on its own or alongside other developer tools skills from the OpenClaw catalog.
How to install Multi-source retrieval with confidence scoring - web, academic, and Tavily in one unified API
The easiest path is via the OpenClaw Easy desktop app — one click, no terminal required:
- Download OpenClaw Easy for macOS or Windows (free, one-click installer, ~30 seconds).
- Open the in-app Skills panel.
- Search for
openclaw-aisa-search-website-academic-tavily-serp-exaand click Install. - The skill activates automatically when an incoming message matches its description.
Install from the command line
If you already run the OpenClaw CLI, add Multi-source retrieval with confidence scoring - web, academic, and Tavily in one unified API with a single command:
openclaw skills add openclaw-aisa-search-website-academic-tavily-serp-exa
This pulls openclaw-aisa-search-website-academic-tavily-serp-exa from ClawHub and installs it into ~/.openclaw/skills/openclaw-aisa-search-website-academic-tavily-serp-exa/. Restart the OpenClaw gateway afterwards so the new skill is discovered.
How to use Multi-source retrieval with confidence scoring - web, academic, and Tavily in one unified API
Once installed, Multi-source retrieval with confidence scoring - web, academic, and Tavily in one unified API activates on its own: when an incoming message on WhatsApp, Telegram, Slack, Discord, Feishu or Line matches the skill's description, your OpenClaw agent loads it and runs the workflow. You can also trigger it explicitly by describing the task in chat. No extra configuration is required after install.
Manual install (advanced)
If you prefer manual installation:
- Click the Download .zip button above to grab
openclaw-aisa-search-website-academic-tavily-serp-exa-1.0.0.zipdirectly from our S3 mirror. - Unzip into
~/.openclaw/skills/openclaw-aisa-search-website-academic-tavily-serp-exa/(create the directory if it does not exist). - Restart OpenClaw Easy (or the OpenClaw CLI gateway) so the new skill is discovered.
Frequently asked questions
How do I install Multi-source retrieval with confidence scoring - web, academic, and Tavily in one unified API?
Install Multi-source retrieval with confidence scoring - web, academic, and Tavily in one unified API in the OpenClaw Easy desktop app by opening the Skills panel, searching for openclaw-aisa-search-website-academic-tavily-serp-exa, and clicking Install. From a terminal you can run: openclaw skills add openclaw-aisa-search-website-academic-tavily-serp-exa. Either way the skill is placed in ~/.openclaw/skills/openclaw-aisa-search-website-academic-tavily-serp-exa/.
Is Multi-source retrieval with confidence scoring - web, academic, and Tavily in one unified API free?
Yes. Multi-source retrieval with confidence scoring - web, academic, and Tavily in one unified API is free and open-source, distributed under the Apache-2.0 license through ClawHub. No account or payment is required to download or run it.
What does Multi-source retrieval with confidence scoring - web, academic, and Tavily in one unified API do?
Intelligent search for agents. Multi-source retrieval with confidence scoring - web, academic, and Tavily in one unified API.
Related: more developer tools skills
If Multi-source retrieval with confidence scoring - web, academic, and Tavily in one unified API looks useful, you may also want to check out other developer tools skills in the OpenClaw catalog:
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Install Multi-source retrieval with confidence scoring - web, academic, and Tavily in one unified API and 10,000+ other OpenClaw skills in one click. Free, open-source, runs locally on macOS & Windows.
Free, open-source · Apache-2.0 · Works with Claude, ChatGPT, Gemini, or local Ollama models