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Guide creating Claude Code skills with TDD and persuasion principles.
Passed 16 of 18 test cases with the skill, and 3 of 18 without it.
and 12 more in the full report
15 fixed4 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
This benchmark measured an earlier version of the skill.
One of 14 test cases the skill fixed. Same model, same prompt, with and without the skill.
What CLI script is provided to check the estimated token footprint of a newly authored skill?
| Checked | Without skill | With skill |
|---|---|---|
| Recommends running python scripts/token_estimator.py | Missed | Passed |
The instructions your model reads when the skill loads.
abstract:skills-eval)abstract:hook-authoring)abstract:subagent-testing)Writing effective Claude Code skills requires Test-Driven Development (TDD) and persuasion principles from compliance research. We treat skill writing as process documentation that needs empirical validation rather than just theoretical instruction. Skills are behavioral interventions designed to change model behavior in measurable ways.
By using TDD, we ensure skills address actual failure modes identified through testing. Optimized descriptions improve discovery, while a modular structure supports progressive disclosure to manage token usage. It states intent, constraints and exit criteria, and leaves the path between them to the session doing the work. modules/persuasion-principles.md carries the strength budget that decides which of the three each statement is.
NO SKILL WITHOUT A FAILING TEST FIRST
Every skill must begin with documented evidence of Claude failing without it. This validates that you are solving a real problem. No implementation should proceed without a failing test, and no completion claim should be accepted without evidence. Detailed enforcement patterns for adversarial verification and coverage gates are available in imbue:proof-of-work.
We categorize skills into three types: Technique skills for specific methods, Pattern skills for recurring solutions, and Reference skills for quick lookups and checklists. This helps organize interventions into the most effective format for the task.
```bash
python scripts/skill_analyzer.py
python scripts/token_estimator.py ```
```bash
python scripts/abstract_validator.py --check ```
test cases passed, vs 3 / 18 without
Published skills whose descriptions closely match this one, with their headline benchmark lift.
More skills from the same source and nearby in the registry, with their headline benchmark lift.