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_summarize-problem-context

Aggregate context from repositories, URLs, and web searches into a research document.

2|1|Updated Feb 17, 2026
Search Tags:#code analysis#documentation#research#context#information gathering#synthesis
One-click install
npx skills add https://github.com/inference-sim/sdlc-plugins --skill summarize-problem-context
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: _summarize-problem-context
Source: https://github.com/inference-sim/sdlc-plugins/tree/main/plugins/shared-skills/skills/_summarize-problem-context
Command: npx skills add https://github.com/inference-sim/sdlc-plugins --skill summarize-problem-context

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill streamlines the research process by automatically gathering and synthesizing relevant context from various sources, including code repositories, papers, and web searches, into a single, coherent document.

Core Features & Use Cases

  • Multi-Source Data Aggregation: Collects information from local repositories, GitHub, URLs, and web searches.
  • Automated Context Synthesis: Generates a structured research document combining problem statements with gathered background information.
  • Use Case: When starting a new research project, use this Skill to quickly compile all relevant background information from existing internal codebases, key academic papers, and recent web articles into one place, saving hours of manual searching and collation.

Quick Start

Use the _summarize-problem-context skill to create a research document from the problem statement in './my_problem.md' and include context from the current repository.

Frequently Asked Questions about _summarize-problem-context

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

FAQPage Schema
How do I aggregate research context from multiple sources like GitHub and web searches?▼

To aggregate research context, you process a local problem statement file to gather information from GitHub repositories, remote URLs, and web searches, synthesizing them into a single structured research document.

What is the best way to synthesize background information for a new development project?▼

Synthesizing background information involves combining a problem statement with contextual data from local codebases and web searches, generating a consolidated output file that provides a comprehensive understanding for development tasks.

Can I compile documentation and code analysis from local repositories into one research document?▼

Yes, you can compile documentation and code analysis from local repositories. The context aggregation process accepts local repository paths and remote URLs to produce a unified background research document.

Do I need a specific problem statement file format to gather information from URLs and repositories?▼

You need a user-provided problem statement file, such as a local markdown file, to initiate the context gathering. The tool processes this file to aggregate diverse source information into a structured output.

How does automated context synthesis handle information gathering from diverse remote sources?▼

Automated context synthesis handles information gathering by querying GitHub repositories, remote URLs, and web searches based on the problem statement, consolidating the findings into a structured research document.

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