research-assistant

Store, organize, search, and export topic-based research notes to Markdown.

Updated Feb 1, 2026

Search Tags:#markdown #research #search #organization #notes #tags #export

Ready to run

npx skills add https://github.com/ShenWang96/clawdbot_workspace_backup --skill research-assistant-shenwang96

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: research-assistant
Source: https://github.com/ShenWang96/clawdbot_workspace_backup/tree/main/skills/research-assistant
Command: npx skills add https://github.com/ShenWang96/clawdbot_workspace_backup --skill research-assistant-shenwang96

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Research notes can become scattered across sessions, making it hard to track ideas and findings.

Core Features & Use Cases

Structured notes with topics and tags
Local export to Markdown for sharing or archiving
Cross-topic search and quick retrieval

Quick Start

Use research_organizer.py to add a note, list topics, show notes for a topic, search across notes, or export a topic to Markdown.

Frequently Asked Questions about research-assistant

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

FAQPage Schema

How do I organize, tag, and store research notes across multiple sessions?▼

To organize research notes across multiple sessions, use a local JSON database to store structured entries with topics and tags, enabling cross-topic search and quick retrieval for ongoing projects.

How can I export my research notes to Markdown for archiving or sharing?▼

You can export research notes to Markdown by running a Python script that extracts topic-based entries from the local JSON database and writes them to safe workspace or home directory paths for archiving.

What is the best way to search across all my structured research notes?▼

The best way to search structured research notes is using a Python script that queries a local JSON database by topic or tag, returning matching entries along with their stored timestamps for quick retrieval.

Do I need any external dependencies or database servers to run a local research note organizer?▼

No external dependencies or database servers are required; the research note organizer implements a local JSON database file stored in the workspace directory and uses standalone Python scripts for all operations.

Can I use Python scripts to add, list, and show tagged research notes by topic?▼

Yes, you can use Python scripts to add notes with topics and tags, list all available topics, and show all notes filed under a specific topic from the local JSON database.

Are there export path limitations when saving research notes to Markdown files?▼

Yes, the research note exporter enforces safe export paths restricted to the workspace, home, or tmp directories, preventing Markdown files from being written to arbitrary or unsafe system locations.