Testing and iteration

Skills can be tested at varying levels of rigor depending on your needs:

• • Manual testing in Claude.ai - Run queries directly and observe behavior. Fast iteration, no setup required.
• • Scripted testing in Claude Code - Automate test cases for repeatable validation across changes.
• • Programmatic testing via skills API - Build evaluation suites that run systematically against defined test sets.

Choose the approach that matches your quality requirements and the visibility of your skill. A skill used internally by a small team has different testing needs than one deployed to thousands of enterprise users.

Pro Tip: Iterate on a single task before expanding

We've found that the most effective skill creators iterate on a single challenging task until Claude succeeds, then extract the winning approach into a skill. This leverages Claude's in-context learning and provides faster signal than broad testing. Once you have a working foundation, expand to multiple test cases for coverage.

Recommended Testing Approach

Based on early experience, effective skills testing typically covers three areas:

1. Triggering tests

Goal: Ensure your skill loads at the right times.

Test cases:

• • Triggers on obvious tasks
• • Triggers on paraphrased requests
• • Doesn't trigger on unrelated topics

Example test suite:

Should trigger:

• - "Help me set up a new ProjectHub workspace"
• - "I need to create a project in ProjectHub"
• - "Initialize a ProjectHub project for Q4 planning"

Should NOT trigger:

• - "What's the weather in San Francisco?"
• - "Help me write Python code"
• - "Create a spreadsheet" (unless ProjectHub skill handles sheets)