research-assistant

Enrich Bear research notes tagged 「待整理」 with thematic GIFs. Use when the user wants to auto-illustrate or spruce up draft research notes in Bear, or mentions "待整理", "research notes", "add GIFs to notes", or "enrich notes".

Safety Notice

This listing is from the official public ClawHub registry. Review SKILL.md and referenced scripts before running.

Copy this and send it to your AI assistant to learn

Install skill "research-assistant" with this command: npx skills add terrycarter1985/bear-research-enricher

Research Assistant

Read Bear notes tagged 「待整理」, extract key topics, search for matching GIFs via gifgrep, and insert them inline. When done, remove the 「待整理」 tag and add 「已整理」.

Prerequisites

  • Bear app running on macOS with a valid API token at ~/.config/grizzly/token
  • grizzly CLI installed (go install github.com/tylerwince/grizzly/cmd/grizzly@latest)
  • gifgrep skill installed (provides GIF search)
  • curl available

Workflow

  1. Fetch notes: Run grizzly open-tag --name "待整理" --enable-callback --json --token-file ~/.config/grizzly/token to list all notes with the tag.
  2. For each note: a. Read note content via grizzly open-note --id <NOTE_ID> --enable-callback --json --token-file ~/.config/grizzly/token b. Extract 2–3 key topics or keywords from the note title and first paragraph. c. For each keyword, search GIFs using the gifgrep skill (or curl "https://api.giphy.com/v1/gifs/search?api_key=dc6zaTOxFJmzC&q=<keyword>&limit=3" as fallback). d. Pick the most relevant GIF URL per keyword. e. Append GIFs to the note using grizzly add-text:
    echo -e "\n---\n![<keyword>](<gif_url>)" | grizzly add-text --id <NOTE_ID> --mode append --token-file ~/.config/grizzly/token
    
  3. Retag: Remove 「待整理」 and add 「已整理」 by updating note tags via Bear's x-callback-url:
    open "bear://x-callback-url/add-tag?id=<NOTE_ID>&name=已整理"
    open "bear://x-callback-url/remove-tag?id=<NOTE_ID>&name=待整理"
    
  4. Report: Summarize which notes were enriched and how many GIFs were added.

Script

For batch processing, use scripts/enrich_notes.sh:

bash scripts/enrich_notes.sh

The script handles the full loop: fetch tagged notes → per-note topic extraction → GIF search → insert → retag.

Notes

  • If no notes carry the 「待整理」 tag, report that and exit.
  • If GIF search returns no results for a keyword, skip that keyword rather than inserting a placeholder.
  • Bear must be running; grizzly commands will fail silently otherwise.
  • Rate-limit GIF API calls (1 request/second) to avoid throttling.

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Related Skills

Related by shared tags or category signals.

Research

Session Log Analyzer

Analyze agent session logs, generate PDF reports, and sync to Notion. Use when processing JSONL session logs, producing daily analysis reports, scheduling au...

Registry SourceRecently Updated
Research

MemClawz

AI agent fleet memory system — Qdrant + Mem0 + Neo4j/Graphiti. Composite scoring, compaction engine, temporal knowledge graph, multi-claw federation, sleep-t...

Registry SourceRecently Updated
Research

Memento

Local persistent memory for OpenClaw agents. Captures conversations, extracts structured facts via LLM, and auto-recalls relevant knowledge before each turn....

Registry SourceRecently Updated
8850Profile unavailable
Research

Mindgraph

Create and query an Obsidian-style [[wikilink]] knowledge graph with learnable repeatable MindSkills for managing and analyzing workspace files.

Registry SourceRecently Updated
6030Profile unavailable