research-assistant

Organize research notes with topics, tags, search, and Markdown export.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/genesis-plan/hongchen-lingjing --skill research-assistant-genesis-plan
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research-assistant
Source: https://github.com/genesis-plan/hongchen-lingjing/tree/main/skills/research-assistant
Command: npx skills add https://github.com/genesis-plan/hongchen-lingjing --skill research-assistant-genesis-plan

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Researchers often struggle to keep dispersed notes organized and searchable. This Skill provides a structured, local repository for notes, topics, and tags, enabling fast retrieval and export of research results.

Core Features & Use Cases

  • Structured note storage by topic with timestamps and tags for easy filtering.
  • Global search across topics and notes with export-to-markdown output for sharing.
  • Multi-session knowledge management with persistent storage and topic-level exports.

Quick Start

Run research_organizer.py to add a note and then use the list, show, search, and export commands to manage your research.

Frequently Asked Questions about research-assistant

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

FAQPage Schema
How do I organize research notes for quick search and retrieval?

Organizing research notes involves structuring them by topic with tags and timestamps for easy filtering. This approach enables fast global search across all notes and allows exporting results to Markdown for multi-session projects.

What is the best way to export research notes to Markdown for sharing?

Exporting research notes to Markdown uses a local JSON-based workspace with built-in safety checks. It generates structured Markdown reports from your tagged notes, making research results easy to share across multi-session projects.

Can I manage multi-topic research notes without losing data between sessions?

Managing multi-topic research notes uses persistent local storage to keep data safe between sessions. This allows you to continuously add notes, apply tags, and retrieve structured knowledge without losing previous work.

How do I search across all tagged research notes within a local workspace?

Searching across all tagged research notes is supported through a global search function within the local workspace. You can filter by tags and topics to quickly find specific insights and export the retrieved results.

Does this research note manager require external dependencies to run scripts?

This research note manager runs locally without requiring any external dependencies. It uses a JSON-based workspace and built-in scripts to handle note storage, tagging, and Markdown exports safely.

When should I use a local JSON workspace for research notes instead of other tools?

A local JSON workspace is ideal for research notes when you need structured, multi-session knowledge management without external setup. It provides topic-level organization and Markdown exports, unlike dispersed or manual note-taking methods.