information-explorer

Generate structured exploration reports for partial-confidence knowledge queries.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/j-mckerracher/agent-research --skill information-explorer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: information-explorer
Source: https://github.com/j-mckerracher/agent-research/tree/main/.claude/skills/information-explorer
Command: npx skills add https://github.com/j-mckerracher/agent-research --skill information-explorer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Reference Librarian delegates focused repository and web exploration to a dedicated agent when internal knowledge is partial, enabling faster gaps to be filled.

Core Features & Use Cases

  • Invocation contract: Defines who may invoke (the Reference Librarian) and under what conditions.
  • Structured prompts: Provides fields for the exploration query, hints, knowledge mode, and report format to standardize exploration.
  • Output protocol: Specifies the required exploration report structure, including summary, confidence, evidence, and gaps.

Quick Start

Invoke the Information Explorer with a partial-confidence query to generate a structured exploration report.

Frequently Asked Questions about information-explorer

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

FAQPage Schema
How do I fill knowledge gaps when a repository query returns partial confidence?

Repository exploration delegates partial-confidence queries to a dedicated subagent that traces call chains, traverses files, and looks up external documents, returning a structured report with evidence and unresolved gaps.

What is a structured exploration report and what fields does it include?

A structured exploration report standardizes knowledge exploration output using a defined schema with fields including answer summary, confidence level, evidence, key file paths, and unresolved gaps.

How do I standardize subagent prompts for repository and web exploration?

Structured exploration prompts standardize subagent invocations by providing fields for the exploration query, hints, knowledge mode, and report format, ensuring consistent repository traversal and document lookup results.

When should I delegate exploration to a subagent instead of searching the repository directly?

Delegate exploration to a subagent when a calling agent yields partial confidence on a knowledge query and the gaps require deeper repository traversal, call-chain tracing, or external document lookup.

Can I use this exploration approach for external document lookup as well as repository traversal?

Focused exploration supports both repository traversal and external document lookup, allowing a calling agent to fill knowledge gaps from multiple sources using a single structured report schema.