27 · Agent Skills

Agent Skills are composable, higher-level capabilities that combine prompts, tools, knowledge, memory and logic to get a job done. Skills make agents modular, maintainable and enterprise-ready.

How it works

1. 1A skill takes an objective, plans steps, uses tools, keeps context and returns a reliable result.
2. 2Example (research a company): understand goal → search internal docs (RAG) → web search → analyse → generate report → store in memory.
3. 3The planner agent decides which skill to use.
4. 4A skill router executes the chosen skill (research, SQL, code, etc.).
5. 5Results return, with a feedback loop to re-plan if needed.

Key points

• Skill vs tool: a tool is one atomic action; a skill orchestrates tools + prompts to solve a whole use case.
• Benefits: reusability, consistent quality, easier testing and versioning.
• Build a skill library once and empower every agent forever.
• Design skills with clear purpose, well-defined inputs and good error handling.

Why it matters

Skills raise the abstraction level: instead of wiring tools per agent, you build reusable capabilities once and share them across agents — more maintainable and enterprise-ready.

Frequently asked questions

How is a skill different from a tool?

A tool does one atomic action; a skill orchestrates prompts, tools and memory to complete a whole task.

Why build a skill library?

Reusable, tested skills give consistent quality and let every agent share the same capabilities.