Research Logger#

Automates the full research-to-notes pipeline:

1. Web Search → gather top sources on a topic
2. Content Fetch → extract key findings from top results
3. GIF Match → find a relevant GIF via gifgrep
4. Template Fill → populate notes/research_template.md
5. Bear Note → write the finished note via grizzly

Usage#

bash

bash research_logger.sh "quantum computing trends" --tags "tech,quantum,2026"

Arguments#

ArgRequiredDescriptiontopic✅Research topic (quoted string)--tags❌Comma-separated tags for Bear note

What it does#

1. Runs web_search via OpenClaw tools for the topic
2. Fetches the top 3 results and extracts summaries
3. Calls gifgrep to find a matching GIF
4. Fills the template at notes/research_template.md
5. Creates a Bear note with grizzly create

Requirements#

• grizzly CLI installed and Bear app running
• OpenClaw agent session (provides web_search, web_fetch, gifgrep tools)
• Template file at notes/research_template.md

Notes#

• The script is designed to be called by an OpenClaw agent turn, not standalone
• If gifgrep returns no results, the GIF section is omitted
• Template placeholders: {topic}, {date}, {tags}, {summary}, {finding1-3}, {links}, {media_alt}, {media_url}, {action1-3}