Lesson 4: Testing and Debugging: Making Sure Your Skill Behaves
Learning goals:
- Learn the basic ways to test a Skill
- Diagnose the failures you'll actually hit
- Understand the iteration loop
- Know how to check whether a Skill is genuinely worth keeping
Prerequisites: << Lesson 3 | Next: Lesson 5 >>
Your first Skill won't be right
You wrote your first Skill, ran it, and noticed things like:
- Some tasks weren't recognized at all
- Priorities came out wrong
- The output format was a mess
- Or Claude never loaded the Skill in the first place
That's normal.
Skills are like code: getting it to run once is the starting line, not the finish. Every Skill that's actually useful got there through several rounds of revision.1
This lesson gives you a repeatable way to find and fix those problems.
Testing method 1: Invoke it directly
The simplest test is a direct invocation: call it once with /skill-name and watch what comes out.2
Prepare your test cases
Before you invoke anything, write down three to five inputs.
Normal cases:
Edge cases:
Garbage cases:
Run the tests
In Claude Code, feed them in one at a time:
Watch three things:
- Did Claude load the Skill at all? (If not, the problem is in the description.)
- Is the output format correct? (If it's messy, the problem is in your output-format section.)
- Is the content what you expected? (If the categories are wrong, the problem is in your processing steps.)
Write down what happened
A small table is enough:
Testing method 2: Watch the loading behavior
Sometimes the problem isn't in the instructions at all — it's in the frontmatter.
Problem: Claude doesn't load the Skill on its own
What you see: you say "help me organize these tasks" and Claude ignores your task-organizer Skill.
Likely causes:
-
The description is too generic
Fix: put the trigger words in.
-
The description doesn't contain the words you actually say
If you say "help me sort out these to-dos" but "to-do" appears nowhere in the description, Claude may never think of the Skill.3
Fix: write the words a user would plausibly say into the description.
Problem: Claude loads the wrong Skill
What you see: you wanted task-organizer, but Claude picked up something else.
Likely cause: the other Skill's description matches your input more closely.
Fix: force the call with /task-organizer, or sharpen your description so it's more specific than the competitor's.
Diagnosing common failures
Problem 1: The output format is wrong
What you see: the Skill runs, but the formatting is off.
Example:
You wanted grouped sections with emoji and headings; Claude gave you a flat text list.
Cause: the output-format section isn't specific enough, or it has no example.
Fix: put a complete example in the "Output format" section of your SKILL.md:
Say "must follow this format exactly," then show the whole thing.
Problem 2: Recognition is inaccurate
What you see: some tasks get missed, or they land in the wrong category.
Example:
Input:
Output:
Both have a clear deadline, and both were marked as having none.
Cause: the time-recognition rules in your processing steps don't cover enough cases.
Fix: fill them in.
The point: spell out every phrasing you can think of.
Problem 3: Edge cases fall through
What you see: normal input is fine, but unusual input makes the Skill behave strangely.
Example:
Input: an empty string
Output: Claude stalls, or produces a pile of meaningless text.
Cause: your "Notes" section never said what to do with empty input.
Fix:
The iteration loop
Good Skills aren't written once. They come out of a test-fix-test loop:1
Don't expect version one to be right. Make it run, then make it correct, then make it good.
Is the Skill actually useful?
Once it runs correctly, there's a bigger question left: is this Skill actually saving you time?1
A/B it
The comparison is simple: run the same task several times with and without the Skill, and time both.
Without the Skill:
Time it. You explain the process by hand, Claude executes — how long does that take on average?
With the Skill:
Time it. You invoke the Skill, Claude executes — how long on average?
If the Skill version isn't faster, or the quality is worse, the Skill still needs work.
Use it for a week
The real test is real use.4
Track these numbers:
- How many times you invoked it
- How many times the result was usable as-is, with no manual edits
- How many times you had to re-run it or fix the output by hand
- How much time it saved
If you invoked it fewer than three times in a week, the task probably isn't repetitive enough to justify a Skill.
Debugging cheat sheet
When a Skill won't work, start with a loading-failure check — walk the table below and rule out the file path, the frontmatter format, and the trigger keywords in that order.
Recap
- Your first Skill won't be right — it takes a test-fix-test loop to get there
- Testing methods: invoke it directly, watch the loading behavior, prepare test cases up front
- Common failures: description too generic, output format under-specified, recognition rules incomplete, edge cases unhandled
- Debugging flow: record expected vs. actual, diagnose, edit SKILL.md, re-test
- Proving it's worth it: compare time, quality, and consistency with and against no Skill, then use it for a week and count the invocations
In the next lesson we'll walk through a complete code review Skill and see how to handle a more involved workflow.
>> Lesson 5: Case Study: Building a Code Review Skill