Use cases · design
Design Agent Skill
Designing an agent skill involves defining triggers, outputs, and scope so an AI agent can reliably perform a specific task. Agents excel at this because they can follow structured instructions, validate inputs, and produce consistent results without human oversight. A well-designed skill is self-contained, precise, and easy to maintain. Below are 2 skills we evaluated for this task.
2 skills for this task
ai-safe2-secure-build-copilot
Apply the AI SAFE2 v3.0 framework (161 controls across 5 pillars plus CP.1-CP.10 Cross-Pillar Governance) to design, build, audit, and govern AI agents, agentic workflows, RAG systems, MCP servers,…
hire
Interactive hiring wizard to set up a new AI team member.
Common questions
- What is an agent skill?
- An agent skill is a set of instructions that defines how an AI agent should perform a specific task. It includes triggers, inputs, outputs, and constraints to ensure reliable and repeatable behavior.
- How do I design a skill that is self-contained?
- To make a skill self-contained, include all necessary instructions, dependencies, and error handling within the skill definition. Avoid relying on external context that the agent might not have access to.
- What should be included in a skill's scope?
- A skill's scope should clearly define what the skill does and does not do. Specify the exact inputs it expects, the outputs it produces, and any limitations or edge cases it handles.