Guides·Guide
What skills are, how they turn an agent into something that does real work, and what changes when you run many.
TL;DR
Skills are how OpenClaw goes from answering to doing. Each skill gives the agent a new ability: send email, drive a browser, query a CRM, run a workflow.
A skill is a capability you give OpenClaw: a defined action or integration the agent can call to get something done. Out of the box the agent can reason and chat; skills are what let it actually act in the real world, from sending a message to operating an app you already use.
Skills turn a chatbot into a worker.
OpenClaw ships with core abilities, and you extend it with more. Some skills come from the ecosystem (shared skills you enable), others you define for your own tools and APIs. The right set depends on the job: an inbox-clearing agent and a lead-research agent need different skills.
Under the hood, skills connect to your apps and tools. The cleaner that connection layer is (scoped access, managed credentials, OAuth on approval), the safer it is to give an agent real power. This is where a managed MCP integration layer helps: it gives each agent isolated, scoped connections to 1,000+ apps without you wiring every OAuth flow by hand.
More skills mean more surface area: more credentials to hold, more integrations to keep working, more ways a single agent can get stuck or crash. On one agent that is manageable. Across a fleet, each with its own skills and connections, keeping them all working and recovering when they fail becomes a platform problem.
A managed runtime handles exactly that: it keeps skill-heavy agents alive with automatic recovery, ships the integration layer so skills connect on day one, and isolates each agent so one broken connection never spreads. Molted runs OpenClaw agents this way at scale.
One agent
Easy to babysit.
A fleet, by hand
Q.01
A capability you give the agent so it can do something concrete, like send email, drive a browser, or operate an app, instead of only answering.
Q.02
You enable shared skills from the ecosystem or define your own for your tools and APIs. The exact steps live in the OpenClaw docs; the key decision is which skills match the job your agent does.
Q.03
They add moving parts, so at scale you want managed integrations and automatic recovery, so a broken skill or connection does not take the agent down.