cercano-research

Perform local web searches and synthesize citation-backed answers offline via Cercano.

Updated Mar 20, 2026
One-click install
npx skills add https://github.com/GoogleDevRelExplorations/cercano --skill cercano-research-googledevrelexplorations
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cercano-research
Source: https://github.com/GoogleDevRelExplorations/cercano/tree/main/.agents/skills/cercano-research
Command: npx skills add https://github.com/GoogleDevRelExplorations/cercano --skill cercano-research-googledevrelexplorations

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Research questions by performing web search and local AI analysis, delivering a sourced answer entirely offline without cloud dependencies.

Core Features & Use Cases

  • Local web querying, deduplication, and synthesis using a Cercano server.
  • Produces sourced, citation-backed insights suitable for in-app decision making.
  • Use Case: researchers or developers needing fast, private answers with verifiable sources.

Quick Start

Ask me a topic to research and I will return a sourced, offline, locally-generated answer with citations.

Frequently Asked Questions about cercano-research

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I perform local web search and AI synthesis completely offline?

To perform local web search offline, this Skill crafts targeted search queries, fetches results, and synthesizes answers using a Cercano server. It requires a Python venv and Cercano setup to run entirely offline without cloud dependencies.

Can I get citation-backed research answers without using cloud services?

Yes, you can get citation-backed research answers without cloud calls. The Skill performs local web querying, deduplication, and AI synthesis to deliver sourced insights suitable for in-app decision making.

Do I need a Python venv and Cercano setup to run local analysis offline?

Yes, you need a Python venv and Cercano setup to run local analysis offline. These prerequisites enable the environment to execute web search and AI synthesis entirely without cloud dependencies.

What is the best way to ensure privacy when doing offline web research?

The best way to ensure privacy during offline web research is using local AI synthesis and web querying via a Cercano server. This approach delivers sourced, citation-backed insights without any cloud calls.

Are there limitations to using local AI synthesis for research analysis?

A limitation of local AI synthesis is the prerequisite setup, requiring a Python venv and Cercano server configuration. If the environment is not configured, the offline web search and synthesis process will not execute.