How to build and use OpenClaw skills and MCP servers to connect your agent to any tool, database, or API and automate real work.
7 guides
The worst automation failure is not a loud error. It is a workflow that quietly stops posting, sending, syncing, or following up while everyone assumes the agent is still doing the job.
As ad platforms become agent-readable and API-first, the winning AI campaign workflow is not better copy. It is spend caps, approval gates, rollback plans, and audit trails.
AI agents do not get reliable because the prompt is clever. They get reliable when every tool has a clear contract: inputs, outputs, permissions, retries, errors, and audit trails.
Reusable agent skills are turning prompts into portable workflow products. Here is how builders should package, sell, and operate AI automation that actually compounds.
MCP is not magic agent infrastructure. It is useful when it removes real integration friction, exposes durable business context, and lets agents operate inside workflows that already matter.
How to set up MCP servers in OpenClaw so your agent can tap files, databases, and APIs with no custom code. A practical OpenClaw MCP servers guide for 2026.
OpenClaw skills turn repeated prompts into reusable commands your agent auto-matches to your requests. Here is how to build custom OpenClaw skills that save hours every week.