Use Skills, Not Monolithic Agents
Compose agents from reusable skills. Small, focused capabilities are easier to test, share, and combine than one giant prompt.
It is tempting to build one agent that does everything: reads email, writes code, searches the web, updates databases, and posts to Slack. That agent becomes hard to prompt, hard to test, and hard to trust.
A better design is a set of reusable skills that can be composed into different agents.
A skill is a focused capability with a clear interface:
- A name
- An input schema
- An output schema
- A prompt or piece of code that performs one thing well
Examples: summarize-web-page, extract-invoice-data, generate-unit-test, send-slack-message.
| Monolithic agent | Skill-based agent |
|---|---|
| One huge prompt | Many small, testable prompts |
| Hard to debug | Failures isolate to one skill |
| Hard to reuse | Skills plug into new agents |
| Hard to review | Each skill has a narrow scope |
| Easy to drift | Skills have clear contracts |
- List the actions your agent performs.
- Turn each action into a skill with a clear name and interface.
- Use a gateway or orchestrator to call skills in sequence.
- Test each skill independently.
- Combine skills into agents for specific workflows.
OpenClaw is built around skills. Each skill is a self-contained unit with its own prompts, tools, and tests. Agents are composed by wiring skills together. This is the architecture we recommend for self-hosted, privacy-first agents.
Take one repeated action in your agent workflow and extract it into a standalone skill. Give it a clear name, inputs, and outputs. Use it in two different contexts.