skills.rest
Gundlapuriswathiii006
Gundlapuriswathiii006COMMUNITY
Explore all skills by this author →
GitHub

llm-query

Extract focused answers from large text or structured content with line citations.

Updated Jul 8, 2026
Search Tags:#structured data#query#error diagnosis#line citation#large text analysis
One-click install
npx skills add https://github.com/Gundlapuriswathiii006/AI_TICKET_SYSTEM_TEAM --skill llm-query-gundlapuriswathiii006
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: llm-query
Source: https://github.com/Gundlapuriswathiii006/AI_TICKET_SYSTEM_TEAM/tree/main/.local/skills/llm-query
Command: npx skills add https://github.com/Gundlapuriswathiii006/AI_TICKET_SYSTEM_TEAM --skill llm-query-gundlapuriswathiii006

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Extracts focused answers from large text or structured content, providing line citations for accurate referencing.

Core Features & Use Cases

  • Focused Querying: Ask specific questions about large bodies of text or structured data.
  • Line Citations: Cite relevant content line numbers for precise information.
  • Use Case: When dealing with large logs or complex JSON data, use this Skill to quickly find the first error and its likely root cause.

Quick Start

Ask the AI about the first error in the log with 'What is the first error and likely root cause?'.

Frequently Asked Questions about llm-query

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

FAQPage Schema
How do I find the first error and likely root cause in large log files?▼

To find the first error in large log files, query the text for specific issues to receive concise answers with line citations. This pinpoints relevant line numbers for accurate referencing and troubleshooting.

What is the best way to extract focused information from structured data?▼

Extracting focused information from structured data involves querying the content directly to get concise answers with line citations. This allows precise information retrieval from complex data sources like JSON without manual scanning.

How does line citation work when analyzing large text?▼

Line citation during large text analysis works by referencing exact line numbers alongside concise answers. This provides accurate tracking back to the original source text for verification and deeper troubleshooting.

Can I use this for complex JSON data parsing and troubleshooting?▼

Yes, you can use this for complex JSON data parsing and troubleshooting. It applies focused querying to structured content, quickly identifying specific errors and their likely root causes within the data.

What are the limitations of using focused querying for large text analysis?▼

The limitation of focused querying for large text analysis is that it provides concise answers rather than comprehensive summaries. It is designed for targeted information retrieval and error diagnosis, not full document comprehension.

Related Skills

Explore More Software Engineering Skills→
zhongjiszhongjis

jc

Convert command-line interface output into structured JSON for programmatic analysis.

Community
Basic
cccnam5158cccnam5158
13

document-summary

Distill large documents into one-line, paragraph, and detailed summaries.

Community
Advanced
Mekann2904Mekann2904

log-analyzer

Analyze log files to extract error patterns and detect anomalies.

Community
Intermediate
hmzainjamilhmzainjamil
1

Chat with PDF

Answer questions about PDF documents and extract cited information.

Community
Intermediate