context-research

Research topics by checking persistent memory and live web sources, then save synthesized findings.

2|1|Updated Apr 10, 2023

Search Tags:#summarization #research #context #memory #knowledge-management #sources #web-scraping

Ready to run

npx skills add https://github.com/popoffvg/dotfiles --skill context-research-popoffvg

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: context-research
Source: https://github.com/popoffvg/dotfiles/tree/main/harness/plugins/memory-keeper/skills/context-research
Command: npx skills add https://github.com/popoffvg/dotfiles --skill context-research-popoffvg

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Efficiently discovers and synthesizes information by first checking persistent memory and, if needed, performing targeted web research, then saving the results for future tasks.

Core Features & Use Cases

Memory-first lookup to surface known context from a dedicated collection.
On-demand web research and page reading to fill gaps, followed by a concise synthesis.
Persistence of findings to memory with sources to enable cross-project reuse.

Quick Start

Ask me to research a topic and I will check memory, perform web research if necessary, and save the results for future reference.

Frequently Asked Questions about context-research

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

FAQPage Schema

How do I research a topic using persistent memory before searching the web?▼

Topic research with persistent memory works by first checking a dedicated memory collection for existing context, then performing targeted web scraping to fill gaps, and finally persisting the concise synthesis with sources back to memory.

What is memory-first knowledge management for competitive research?▼

Memory-first knowledge management checks persistent memory storage for existing context before scraping live web sources, ensuring competitive research synthesizes findings efficiently while preserving prior context for cross-project reuse.

Can I use web scraping to fill gaps in my existing knowledge management collection?▼

Yes, web scraping fills gaps in existing knowledge management collections by performing on-demand page reading when persistent memory lacks required context, then saving the synthesized results with sources for cross-project reuse.

What's the best way to synthesize web sources and save them to memory for future tasks?▼

The best way to synthesize web sources is to perform targeted page reading, generate a concise synthesis of the findings, and persist the results along with their sources to a dedicated memory collection for future cross-project reuse.

Does topic research handle varying depths of knowledge projects without losing context?▼

Yes, topic research handles knowledge projects of varying depth by consulting persistent memory to preserve prior context, ensuring that subsequent web research and synthesis maintain continuity across different research scales.