oberweb

Coordinates parallel web searches to synthesize grounded, source-backed recommendations with URLs.

60|3|Updated Dec 18, 2025
One-click install
npx skills add https://github.com/ryanthedev/oberskills --skill oberweb
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: oberweb
Source: https://github.com/ryanthedev/oberskills/tree/main/skills/oberweb
Command: npx skills add https://github.com/ryanthedev/oberskills --skill oberweb

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Grounding queries in local context and orchestrating multi-angle web research with parallel agents to surface diverse, source-backed results.

Core Features & Use Cases

  • Grounded, multi-angle research planning and execution across multiple search dimensions
  • Parallel search, extraction of actionable findings, and cross-source comparison
  • Synthesis of results with the user's model to produce concise, evidence-backed recommendations
  • Use Case: When comprehensive web research is needed across different perspectives and sources

Quick Start

Provide a query like "research this topic" to trigger grounding, dimension planning, parallel searches, and synthesis into grounded recommendations.

Frequently Asked Questions about oberweb

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

FAQPage Schema
How do I orchestrate parallel web research across multiple search dimensions?

To orchestrate parallel web research, you ground queries in local context and plan 2-5 search dimensions. Coordinate parallel search agents to fetch diverse sources, extract findings, and synthesize evidence-backed recommendations with URLs.

What's the best way to ground web search queries in local context?

Grounding web search queries in local context involves identifying your specific research task and mapping it to local data before planning search dimensions. This ensures parallel search agents fetch relevant, source-backed findings for synthesis.

Can I use parallel agents to fetch diverse sources and compare findings?

Yes, you can use parallel agents to fetch diverse sources and compare findings. The process coordinates multiple search agents across planned dimensions, extracts actionable findings, and performs cross-source comparison to produce grounded recommendations.

How do I synthesize web research results with my model to produce recommendations?

To synthesize web research results with your model, coordinate parallel agents to extract actionable findings from diverse sources, then merge those findings with your local context to produce concise, evidence-backed recommendations and present sources with URLs.

When do I need multi-angle web research with parallel search agents?

You need multi-angle web research with parallel search agents when comprehensive web research is required across different perspectives and sources. It grounds queries in local context and surfaces diverse, source-backed results for evidence-based decision making.