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Testing & Distributing Skills

A guide to testing, iterating, and distributing AI agent skills: writing evals, measuring performance, refining the description, semver versioning, GitHub publishing, and common troubleshooting.

by Skills IL TeamPublished on February 1, 202610 min read
testingdistributiontroubleshootingiterationAPI

Testing Approaches

Skills can be tested at varying levels of rigor:

  • Manual testing - Run queries directly in your agent and observe behavior. Fast iteration, no setup required.
  • Scripted testing - Automate test cases for repeatable validation in coding agents like Claude Code or Cursor.
  • Programmatic testing via Skills API - Build evaluation suites that run systematically against defined test sets.

Pro Tip: Iterate on a single task before expanding. The most effective skill creators iterate on a single challenging task until the agent succeeds, then extract the winning approach into a skill.

Recommended Testing Approach

1. Triggering Tests

Goal: Ensure your skill loads at the right times.

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"

2. Functional Tests

Goal: Verify the skill produces correct outputs.

Test: Create project with 5 tasks Given: Project name "Q4 Planning", 5 task descriptions When: Skill executes workflow Then: - Project created in ProjectHub - 5 tasks created with correct properties - All tasks linked to project - No API errors

3. Performance Comparison

Goal: Prove the skill improves results vs. baseline.

Without skill: - User provides instructions each time - 15 back-and-forth messages - 3 failed API calls requiring retry - 12,000 tokens consumed With skill: - Automatic workflow execution - 2 clarifying questions only - 0 failed API calls - 6,000 tokens consumed

Using the skill-creator

The skill-creator skill, available on Skills IL, helps build and iterate on skills:

  • Creating: Generates skills from natural language descriptions with properly formatted SKILL.md
  • Reviewing: Flags common issues, suggests test cases
  • Iterating: After encountering edge cases, bring examples back for improvement

Install the Skill Creator from Skills IL →

Iteration Based on Feedback

Skills are living documents. Plan to iterate based on:

Under-triggering Signals

  • Skill doesn't load when it should
  • Users manually enabling it
  • Support questions about when to use it

Solution: Add more detail and keywords to the description

Over-triggering Signals

  • Skill loads for irrelevant queries
  • Users disabling it
  • Confusion about purpose

Solution: Add negative triggers, be more specific

Execution Issues

  • Inconsistent results
  • API call failures
  • User corrections needed

Solution: Improve instructions, add error handling

Distribution

Current Distribution Model

For individual users:

  1. Download the skill folder
  2. Install using your agent's install command (e.g., npx skills-il add skill-name)
  3. Or place manually in your agent's skills directory

Organization-level:

  • Admins can deploy skills workspace-wide
  • Automatic updates
  • Centralized management

Using Skills via API

For programmatic use cases - building applications, agents, or automated workflows:

  • Integration with Claude Agent SDK, Cursor Rules, or OpenClaw
  • Add skills to automated workflows
  • Version control through your agent's management system

Recommended Approach

  1. Host on GitHub - Public repo, clear README, example usage with screenshots
  2. Document in your MCP repo - Link to skills, explain combined value
  3. Create an installation guide with step-by-step instructions

Troubleshooting

Skill Won't Upload

Error: "Could not find SKILL.md"

  • Rename to SKILL.md (case-sensitive)

Error: "Invalid frontmatter"

  • Verify --- delimiters are present
  • Check for unclosed quotes

Error: "Invalid skill name"

  • Use kebab-case only

Skill Doesn't Trigger

Symptom: Skill never loads automatically.

Quick checklist:

  • Is the description too generic?
  • Does it include trigger phrases users would actually say?
  • Does it mention relevant file types if applicable?

Debugging: Ask your agent: "When would you use the [skill name] skill?" The agent will quote the description back. Adjust based on what's missing.

Skill Triggers Too Often

Solutions:

  1. Add negative triggers in the description
  2. Be more specific about the scope
  3. Clarify what the skill is NOT for

Instructions Not Followed

Common causes:

  1. Instructions too verbose - Keep concise, use bullet points and lists
  2. Instructions buried - Put critical instructions at the top
  3. Ambiguous language - Be specific and explicit

Advanced technique: For critical validations, consider bundling a script that performs the checks programmatically. Code is deterministic; language interpretation isn't.

Large Context Issues

Causes: Skill content too large, too many skills enabled simultaneously

Solutions:

  1. Keep SKILL.md under 5,000 words
  2. Move detailed docs to references/
  3. Enable skills selectively (avoid 20-50+ active simultaneously)

Resources

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