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Bear GIF Enricher
by
terrycarter1985
· GitHub ↗
· v0.1.0
· MIT-0
21
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1
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Install in OpenClaw
/install bear-gif-enricher
Description
Enrich Bear research notes tagged 「待整理」 with theme-matched GIFs. Use when the user wants to auto-illustrate pending research notes, batch-process Bear notes...
README (SKILL.md)
Research Assistant
Process Bear notes tagged 「待整理」: extract topics, find matching GIFs, insert them, then remove the tag.
Workflow
- Fetch pending notes — run
scripts/process_notes.sh listto get all notes with the 待整理 tag. - For each note, run
scripts/enrich_note.sh \x3Cnote-id>which:- Reads the note content via
grizzly open-note - Extracts key topic phrases (first H1, bold terms, or first sentence)
- Searches for a relevant GIF via Tenor API (falls back to Giphy)
- Appends the GIF as a markdown image at the end of the note
- Removes the 待整理 tag and adds 已整理 tag
- Reads the note content via
- Report — summarize how many notes were enriched and any failures.
Requirements
- Bear app running on macOS
grizzlyCLI installed (go install github.com/tylerwince/grizzly/cmd/grizzly@latest)- Bear token at
~/.config/grizzly/token TENOR_API_KEYorGIPHY_API_KEYenv var (free tier works)
Scripts
scripts/process_notes.sh list— list note IDs with 待整理 tagscripts/enrich_note.sh \x3Cnote-id>— enrich a single note with a GIF
Usage Guidance
Install only if you are comfortable letting the skill read and edit Bear notes tagged 待整理 and send note topics to Tenor or Giphy. Before batch use, back up Bear notes and fix or verify the retagging command, because the included script appears to create a new 已整理 note instead of tagging the original note.
Capability Tags
Capability Assessment
Purpose & Capability
The core purpose is coherent: list Bear notes tagged 待整理, choose a GIF, append it, and retag the note. However, the implementation removes the pending tag from the target note and then uses a create command without the note ID, which appears likely to create a separate tagged note rather than adding 已整理 to the existing note.
Instruction Scope
The documented workflow batch-processes every pending note and performs persistent edits without a dry-run, backup, or per-note confirmation. This is especially risky given the apparent tag-update mismatch.
Install Mechanism
There is no install spec, but SKILL.md tells the user to install the grizzly CLI using an unpinned '@latest' Go install command. This is user-directed and purpose-aligned, but users should verify the dependency source.
Credentials
The skill needs a Bear/grizzly token and Tenor or Giphy API key, and it sends note-derived topics to external GIF APIs. This fits the purpose, but it touches private notes and third-party services.
Persistence & Privilege
The scripts make persistent changes to Bear notes and tags. They append remote GIF links, remove the 待整理 tag, and appear to create new notes while trying to add the 已整理 tag.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install bear-gif-enricher - After installation, invoke the skill by name or use
/bear-gif-enricher - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Initial release: auto-enrich Bear 待整理 notes with theme-matched GIFs
Metadata
Frequently Asked Questions
What is Bear GIF Enricher?
Enrich Bear research notes tagged 「待整理」 with theme-matched GIFs. Use when the user wants to auto-illustrate pending research notes, batch-process Bear notes... It is an AI Agent Skill for Claude Code / OpenClaw, with 21 downloads so far.
How do I install Bear GIF Enricher?
Run "/install bear-gif-enricher" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Bear GIF Enricher free?
Yes, Bear GIF Enricher is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Bear GIF Enricher support?
Bear GIF Enricher is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Bear GIF Enricher?
It is built and maintained by terrycarter1985 (@terrycarter1985); the current version is v0.1.0.
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