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

git remote -v

If

whatsapp

is missing, add it:

git remote add whatsapp https://github.com/qwibitai/claudeclaw-whatsapp.git

Merge the skill branch

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

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):

   ./src/runtimes/docker/build.sh
   

2. Sync agent-runner source to group caches:

   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.

3. Restart the service:

   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":

   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.