From sundial-org-awesome-openclaw-skills-4
Delegates complex coding, research, or autonomous tasks to Agent Zero via bidirectional bridge. Supports file attachments, task breakdown, progress reporting, and self-correction for long-running iterative work.
npx claudepluginhub joshuarweaver/cascade-ai-ml-agents-misc-2 --plugin sundial-org-awesome-openclaw-skills-4This skill uses the workspace's default tool permissions.
Bidirectional communication between Clawdbot and [Agent Zero](https://github.com/frdel/agent-zero).
Guides Next.js Cache Components and Partial Prerendering (PPR) with cacheComponents enabled. Implements 'use cache', cacheLife(), cacheTag(), revalidateTag(), static/dynamic optimization, and cache debugging.
Guides building MCP servers enabling LLMs to interact with external services via tools. Covers best practices, TypeScript/Node (MCP SDK), Python (FastMCP).
Generates original PNG/PDF visual art via design philosophy manifestos for posters, graphics, and static designs on user request.
Bidirectional communication between Clawdbot and Agent Zero.
# Copy skill to Clawdbot skills directory
cp -r <this-skill-folder> ~/.clawdbot/skills/agent-zero-bridge
# Create config from template
cd ~/.clawdbot/skills/agent-zero-bridge
cp .env.example .env
# Agent Zero (get token from A0 settings or calculate from runtime ID)
A0_API_URL=http://127.0.0.1:50001
A0_API_KEY=your_agent_zero_token
# Clawdbot Gateway
CLAWDBOT_API_URL=http://127.0.0.1:18789
CLAWDBOT_API_TOKEN=your_gateway_token
# For Docker containers reaching host (use your machine's LAN IP)
CLAWDBOT_API_URL_DOCKER=http://192.168.1.x:18789
# Calculate from A0's runtime ID
import hashlib, base64
runtime_id = "your_A0_PERSISTENT_RUNTIME_ID" # from A0's .env
hash_bytes = hashlib.sha256(f"{runtime_id}::".encode()).digest()
token = base64.urlsafe_b64encode(hash_bytes).decode().replace("=", "")[:16]
print(token)
Add to ~/.clawdbot/clawdbot.json:
{
"gateway": {
"bind": "0.0.0.0",
"auth": { "mode": "token", "token": "your_token" },
"http": { "endpoints": { "chatCompletions": { "enabled": true } } }
}
}
Then: clawdbot gateway restart
docker exec <container> mkdir -p /a0/bridge/lib
docker cp scripts/lib/. <container>:/a0/bridge/lib/
docker cp scripts/clawdbot_client.js <container>:/a0/bridge/
docker cp .env <container>:/a0/bridge/
docker exec <container> sh -c 'echo "DOCKER_CONTAINER=true" >> /a0/bridge/.env'
node scripts/a0_client.js "Build a REST API with JWT authentication"
node scripts/a0_client.js "Review this code" --attach ./file.py
node scripts/a0_client.js "New task" --new # Start fresh conversation
node scripts/a0_client.js status
node scripts/a0_client.js history
node scripts/a0_client.js reset # Clear conversation
node scripts/task_breakdown.js "Build e-commerce platform"
# Creates notebook/tasks/projects/<name>.md with checkable steps
Inside A0 container:
# Report progress
node /a0/bridge/clawdbot_client.js notify "Working on step 3..."
# Ask for input
node /a0/bridge/clawdbot_client.js "Should I use PostgreSQL or SQLite?"
# Invoke Clawdbot tool
node /a0/bridge/clawdbot_client.js tool web_search '{"query":"Node.js best practices"}'
| Error | Fix |
|---|---|
| 401 / API key error | Check A0_API_KEY matches Agent Zero's mcp_server_token |
| Connection refused from Docker | Use host LAN IP in CLAWDBOT_API_URL_DOCKER, ensure gateway binds 0.0.0.0 |
| A0 500 errors | Check Agent Zero's LLM API key (Gemini/OpenAI) is valid |