Research Logger#

Automates the research-logging workflow:

1. Search — Uses web_search / web_fetch to gather content on a topic.
2. GIF Match — Uses gifgrep to find a relevant GIF for visual context.
3. Note Creation — Fills the notes/research_template.md template and writes a Bear note via grizzly.

Quick Start#

bash

bash scripts/research_logger.sh "quantum computing" "research,quantum"

Script: scripts/research_logger.sh#

ArgumentRequiredDescription$1 — topic✅Research topic (quoted)$2 — tags❌Comma-separated Bear tags (default: research)

What it does#

1. Calls web_search for the topic, fetches top results.
2. Searches gifgrep for a matching GIF.
3. Reads notes/research_template.md, substitutes placeholders with gathered data.
4. Creates a Bear note with the rendered content and tags.

Template#

The template lives at notes/research_template.md (workspace root) and uses {placeholder} syntax:

PlaceholderSource{topic}CLI argument{date}Current date (YYYY-MM-DD){tags}CLI argument{summary}LLM-generated summary of search results{finding1} … {finding3}Top 3 key findings{links}Source URLs from search{media_alt} / {media_url}GIF from gifgrep{action1} … {action3}Suggested action items

Requirements#

• grizzly — Bear CLI ( go install github.com/tylerwince/grizzly/cmd/grizzly@latest)
• Bear app running on macOS
• Internet access for search and GIF lookup