A utility for transforming local agent skills into production-ready, standalone microservices and APIs.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install skill-exporter
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install skill-exporter using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Skill Exporter?
Skill Exporter is a developer-centric tool designed to package and deploy agent logic into scalable environments. By wrapping existing scripts in a FastAPI layer, it allows Openclaw Skills to function as independent web services. This utility is perfect for developers looking to move beyond local CLI execution and integrate their agent capabilities into larger distributed systems or cloud infrastructures. It handles the heavy lifting of containerization and API boilerplate, ensuring that any logic built within the Openclaw Skills ecosystem can be productionized in minutes.
Skill Exporter Use Cases
- Rapidly dockerizing skills for cloud deployment.
- Creating dedicated API endpoints for specific agent functionalities.
- Scaling local automation scripts into robust microservices on Railway or Fly.io.
- Adding standardized LLM client interfaces to existing script logic.
How Skill Exporter Works
- The tool identifies the source skill by locating the SKILL.md and python scripts.
- It parses metadata to determine requirements and necessary system bins.
- A FastAPI wrapper is generated to expose script functions via HTTP endpoints.
- Deployment manifests like Dockerfiles or fly.toml are created based on the user's choice.
- The finalized microservice is output to a new directory, ready for immediate deployment or local testing.
Skill Exporter Setup
To use Skill Exporter, navigate to your local environment and run the following command to package one of your Openclaw Skills:
python3 scripts/export.py \
--skill ~/.clawdbot/skills/my-skill \
--target docker \
--output ./my-service
Once exported, navigate to the output folder, configure your .env file, and run docker-compose up to start the service locally.
Skill Exporter Data Schema & Taxonomy
The exported microservice organizes data and configuration into a clean, predictable directory structure:
| Component | Description |
|---|---|
api.py |
The main FastAPI application providing the REST interface. |
Dockerfile |
Instructions for building the service container. |
requirements.txt |
Lists all Python packages needed for the skill to run. |
.env.example |
Template for required API keys and configuration secrets. |
scripts/ |
Contains the original logic files migrated from the Openclaw Skills source. |
Skill Exporter Advanced Features
- Integrated LLM support for Anthropic and OpenAI with built-in rate limiting.
- Multi-platform target support including Railway and Fly.io native configurations.
- Automated health check endpoint generation for container orchestration.
- Configurable API port and environment mapping for flexible infrastructure integration.
SKILL.md
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