Content
35%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill is essentially a prompt template wrapped in markdown, which adds limited value beyond what Claude can already do when asked to summarize an A/B test. It lacks concrete examples of input data and expected output, contains unnecessary motivational/explanatory text, and provides no validation steps for statistical claims. The structured output format is helpful but the skill would benefit significantly from an example readout and tighter writing.
Suggestions
Remove filler text like 'No stats degree required' and 'The experiment is done and the data is in' — these waste tokens and patronize Claude.
Add a concrete example showing sample input data (metrics, sample sizes, p-values) and the expected readout output, so Claude has a clear reference for quality and format.
Add a validation step: after generating the readout, verify that statistical significance claims are consistent with the provided confidence intervals and sample sizes.
Trim the prompt template to focus only on what Claude wouldn't already know — the specific output structure and audience-matching requirements — rather than explaining what an experiment readout is.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is verbose with unnecessary hand-holding ('No stats degree required', 'The experiment is done and the data is in'). It explains concepts Claude already knows and includes filler phrases. The prompt template itself is largely a description of what a good experiment readout looks like — something Claude already knows how to produce. | 1 / 3 |
Actionability | The prompt template provides a structured numbered list of sections to produce, which gives some concrete guidance. However, it's essentially a prompt-within-a-prompt with no executable code, no example input/output, and no concrete example of what a good readout looks like. The placeholders are vague. | 2 / 3 |
Workflow Clarity | The 10-step numbered list provides a clear sequence for the output structure, but there are no validation checkpoints — no step to verify statistical calculations, no feedback loop for checking if confidence intervals are correctly interpreted, and no guidance on what to do if data is incomplete or malformed. | 2 / 3 |
Progressive Disclosure | The content is organized into sections (Prompt Template, Tips) which provides some structure. However, the entire skill is a single monolithic file with no references to supporting materials. The tips section could be better integrated, and there's no separation between the template and example outputs or advanced customization. | 2 / 3 |
Total | 7 / 12 Passed |