nanoflash: Skill for Claude Code

Image Vision Skill

Adds the ability for NanoClaw 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/nanoclaw-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/container-runner.ts
• Image content block support in container/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):

   ./container/build.sh
   

2. Sync agent-runner source to group caches:

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

3. Restart the service:

   launchctl kickstart -k gui/$(id -u)/com.nanoclaw