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ab-test-setup

Structured guide for setting up A/B tests with mandatory gates for hypothesis, metrics, and execution readiness.

Install with Tessl CLI

npx tessl i github:haniakrim21/everything-claude-code --skill ab-test-setup
What are skills?

60

Does it follow best practices?

Validation for skill structure

SKILL.md
Review
Evals

Discovery

32%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description identifies a clear domain (A/B testing) and hints at a structured approach with gates, but lacks explicit trigger guidance for when to use the skill. It would benefit from more specific action verbs and natural keyword variations to improve discoverability and reduce ambiguity.

Suggestions

Add a 'Use when...' clause with trigger terms like 'A/B test', 'split test', 'experiment setup', 'test hypothesis', or 'conversion experiment'.

Include common keyword variations such as 'split testing', 'experiment', 'variant testing', 'multivariate' to improve trigger term coverage.

List more specific concrete actions like 'define hypotheses', 'select metrics', 'calculate sample size', 'validate experiment readiness' to clarify capabilities.

DimensionReasoningScore

Specificity

Names the domain (A/B tests) and mentions some actions (setting up, gates for hypothesis, metrics, execution readiness), but doesn't list comprehensive concrete actions like 'define control groups', 'calculate sample sizes', or 'analyze results'.

2 / 3

Completeness

Describes what it does (structured guide for A/B test setup with gates) but completely lacks a 'Use when...' clause or any explicit trigger guidance for when Claude should select this skill.

1 / 3

Trigger Term Quality

Includes 'A/B tests' which is a natural term users would say, but misses common variations like 'split testing', 'experiment', 'variant testing', 'conversion testing', or 'multivariate test'.

2 / 3

Distinctiveness Conflict Risk

The focus on A/B tests with mandatory gates provides some distinctiveness, but 'hypothesis' and 'metrics' are generic terms that could overlap with general experiment planning or analytics skills.

2 / 3

Total

7

/

12

Passed

Implementation

62%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

This skill excels at workflow clarity with explicit gates and validation checkpoints that prevent common A/B testing mistakes. However, it lacks concrete examples (sample hypotheses, calculation formulas, tool-specific commands) that would make it immediately actionable. The content is moderately concise but includes some motivational filler that doesn't add operational value.

Suggestions

Add a concrete example of a well-formed hypothesis with all required components (observation, change, expectation, audience, success criteria)

Include a sample size calculation example or formula, e.g., using a specific tool or statistical formula

Consider splitting detailed sections (Metrics Definition, Analysis Discipline) into separate reference files to improve progressive disclosure

Remove or condense philosophical statements like 'Final Reminder' section that don't provide actionable guidance

DimensionReasoningScore

Conciseness

The content is reasonably efficient but includes some unnecessary philosophical statements ('A/B testing is not about proving ideas right') and motivational reminders that Claude doesn't need. The checklists and tables are appropriately dense, but sections like 'Final Reminder' add little actionable value.

2 / 3

Actionability

Provides clear checklists and decision criteria, but lacks concrete examples of what a good hypothesis looks like, sample size calculations, or specific tool commands. The guidance is procedural but abstract—no executable code or copy-paste templates for tracking setup or analysis.

2 / 3

Workflow Clarity

Excellent sequential structure with explicit hard gates ('Do NOT proceed until confirmed', 'Execution Readiness Gate'). Clear validation checkpoints before each phase, explicit refusal conditions, and a well-defined feedback loop for assumption violations.

3 / 3

Progressive Disclosure

Content is well-organized with clear sections and headers, but everything is in a single monolithic file. For a skill of this length (~200 lines), detailed sections like 'Metrics Definition' or 'Analysis Discipline' could be split into referenced files for better navigation.

2 / 3

Total

9

/

12

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation11 / 11 Passed

Validation for skill structure

No warnings or errors.

Reviewed

Table of Contents

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