explore

Search the system to build structured topic reserves with sources.

42|9|Updated Feb 15, 2026
One-click install
npx skills add https://github.com/lsnackerman/raw-clauding-skills --skill explore-lsnackerman
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: explore
Source: https://github.com/lsnackerman/raw-clauding-skills/tree/main/explore
Command: npx skills add https://github.com/lsnackerman/raw-clauding-skills --skill explore-lsnackerman

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Build topic reserves by searching your entire system to consolidate scattered knowledge into a ready-to-use reference library.

Core Features & Use Cases

  • Build rich topic reserves by indexing decisions, insights, patterns, verbatim exchanges, and sources from across your system.
  • Use before writing, sharing, or sprint planning to accelerate context gathering.
  • Output a structured topic reserve document with sources and context.

Quick Start

Ask for a topic, then search your entire system to build a topic reserve.

Frequently Asked Questions about explore

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

FAQPage Schema
How do I consolidate scattered knowledge into a structured reference before writing?

To consolidate scattered knowledge before writing, perform a system-wide search to index decisions, insights, patterns, and verbatim exchanges into a structured topic reserve. This gathers cross-document context into a ready-to-use reference library.

What is a topic reserve and when do I need to build one?

A topic reserve is a structured document consolidating decisions, insights, patterns, and source references from across your system. You need to build one before writing, sharing, or sprint planning to accelerate context gathering.

How do I gather verbatim texture and source references from cross-document searches?

Gather verbatim texture and source references by running a system-wide search that coordinates cross-document retrieval. This process extracts decisions, genesis, and verbatim exchanges, indexing them into a unified topic reserve.

Can I use system-wide search to gather context for sprint planning?

Yes, you can use system-wide search to gather context for sprint planning. It consolidates scattered knowledge, indexing decisions and patterns into a structured topic reserve to accelerate your planning phase.

What is the best way to synthesize information from multiple documents into a single reserve?

The best way to synthesize information is applying a knowledge management skill that coordinates system-wide searches. It extracts insights and verbatim texture from multiple documents, outputting a structured topic reserve with sources.

Are there limitations to building topic reserves from scattered system knowledge?

Building topic reserves requires existing scattered knowledge within your system to index. Without prior decisions, insights, or verbatim exchanges stored across documents, the system-wide search cannot consolidate a structured reference library.