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research

Search prioritized memory scopes and write findings to analysis/research-summary.json.

4|2|Updated Jan 19, 2026
Search Tags:#automation#summarization#research#memory#knowledge#web
One-click install
npx skills add https://github.com/pv-udpv/pplx-unofficial-sdk --skill research-pv-udpv
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: research
Source: https://github.com/pv-udpv/pplx-unofficial-sdk/tree/main/.cline/skills/research
Command: npx skills add https://github.com/pv-udpv/pplx-unofficial-sdk --skill research-pv-udpv

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Deep knowledge gathering with memory-aware search that prioritizes memory scope reasoning to understand unfamiliar APIs, patterns, or technologies, reducing time to actionable insight.

Core Features & Use Cases

  • Memory-first inquiry across global, workspace, project, and agent:research memory scopes.
  • Fall back to web/doc/code search when memory is insufficient and save findings to analysis/research-summary.json.
  • Produce a structured summary JSON suitable for downstream automation and elevation workflows.

Quick Start

Initiate a memory-first investigation on the target topic and output a structured analysis/research-summary.json artifact.

Frequently Asked Questions about research

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

FAQPage Schema
How do I automate knowledge gathering for unfamiliar APIs and technologies?▼

You can automate knowledge gathering by running a memory-first search across global, workspace, project, and agent scopes, falling back to web search if memory misses, and synthesizing findings into a structured summary.

What is memory-aware research and how does it work?▼

Memory-aware research prioritizes searching existing memory scopes before querying the web, ensuring previously gathered knowledge is reused to understand APIs or patterns and reducing time to actionable insight.

Can I save web search results and memory findings to a structured JSON file?▼

Yes, this process persists collected findings and synthesized results into a structured analysis/research-summary.json artifact, making it suitable for downstream automation and elevation workflows.

Does the research summarization process require external dependencies?▼

No, the research summarization process operates without external dependencies, utilizing internal memory search and web search capabilities to gather, synthesize, and persist knowledge findings.

What's the best way to summarize technical research across multiple memory scopes?▼

The best way is to execute a prioritized memory_search across global, workspace, project, and agent scopes, supplementing gaps with web search, and outputting a deterministic research summary.

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