sbusso/claudeclaw/add-image-vision

Claude Code and agent skill by sbusso/claudeclaw

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Add image vision to ClaudeClaw agents. Resizes and processes WhatsApp image attachments, then sends them to Claude as multimodal content blocks.

Install

npx vskill@latest install sbusso/claudeclaw/add-image-vision

SKILL.md

Image Vision Skill

Adds the ability for ClaudeClaw agents to see and understand images sent via WhatsApp. Images are downloaded, resized with sharp, saved to the group workspace, and passed to the agent as base64-encoded multimodal content blocks.

Phase 1: Pre-flight

  1. Check if src/image.ts exists — skip to Phase 3 if already applied
  2. Confirm sharp is installable (native bindings require build tools)

Prerequisite: WhatsApp must be installed first (skill/whatsapp merged). This skill modifies WhatsApp channel files.

Phase 2: Apply Code Changes

Ensure WhatsApp fork remote
bash
git remote -v

If whatsapp is missing, add it:

bash
git remote add whatsapp https://github.com/qwibitai/claudeclaw-whatsapp.git
Merge the skill branch
bash
git fetch whatsapp skill/image-vision
git merge whatsapp/skill/image-vision || {
git checkout --theirs package-lock.json
git add package-lock.json
git merge --continue
}

This merges in:

  • src/image.ts (image download, resize via sharp, base64 encoding)
  • src/image.test.ts (8 unit tests)
  • Image attachment handling in src/channels/whatsapp.ts
  • Image passing to agent in src/index.ts and src/orchestrator/container-runner.ts
  • Image content block support in agent/runner/src/index.ts
  • sharp npm dependency in package.json

If the merge reports conflicts, resolve them by reading the conflicted files and understanding the intent of both sides.

Validate code changes
bash
npm install
npm run build
npx vitest run src/image.test.ts

All tests must pass and build must be clean before proceeding.

Phase 3: Configure

  1. Rebuild the container (agent-runner changes need a rebuild):

``bash ./src/runtimes/docker/build.sh ``

  1. Sync agent-runner source to group caches:

``bash for dir in data/sessions/*/agent-runner-src/; do cp agent/runner/src/*.ts "$dir" done ``

Service name: Derived from the directory name: com.claudeclaw.<dirname> (macOS) / claudeclaw-<dirname> (Linux). For example, if cwd is my-assistant, the service is com.claudeclaw.my-assistant. Determine the correct service name before running service commands below.
  1. Restart the service:

``bash launchctl kickstart -k gui/$(id -u)/com.claudeclaw ``

Phase 4: Verify

  1. Send an image in a registered WhatsApp group
  2. Check the agent responds with understanding of the image content
  3. Check logs for "Processed image attachment":

``bash tail -50 groups/*/logs/container-*.log ``

Troubleshooting

  • "Image - download failed": Check WhatsApp connection stability. The download may timeout on slow connections.
  • "Image - processing failed": Sharp may not be installed correctly. Run npm ls sharp to verify.
  • Agent doesn't mention image content: Check container logs for "Loaded image" messages. If missing, ensure agent-runner source was synced to group caches.

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
173
Repository forks
56
7-day trend score
26

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

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