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creating-experiments

Guides agents through the 3-step experiment creation flow: defining the hypothesis, configuring rollout, and setting up analytics. Delegates rollout decisions to configuring-experiment-rollout and metric setup to configuring-experiment-analytics. TRIGGER when: user asks to create a new experiment or A/B test, OR when you are about to call experiment-create. DO NOT TRIGGER when: user is updating an existing experiment, managing lifecycle, or only browsing experiments.

80

Quality

100%

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SKILL.md
Quality
Evals
Security

Quality

Content

100%

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

The content is a tight, actionable 3-step workflow with a complete executable example and clear sequencing with checkpoints, while appropriately delegating deeper detail to signaled sub-skills. It avoids restating concepts Claude already knows.

DimensionReasoningScore

Conciseness

The body is lean and assumes Claude's competence, reserving prose for genuinely non-obvious PostHog specifics (the reserved 'web' type, the two distinct rollout_percentage fields) that Claude would not already know. It is not level 2 because there is no generic padding or restating of concepts Claude knows.

3 / 3

Actionability

Provides a complete, copy-paste-ready experiment-create JSON block with concrete field names and explicit defaults ('50/50 control/test, 100% rollout'), matching the 'fully executable, copy-paste ready' anchor.

3 / 3

Workflow Clarity

The 3-step flow is clearly sequenced with explicit delegation checkpoints ('Before asking any rollout question, load configuring-experiment-rollout') and a post-creation checklist; negative guidance ('Do NOT configure metrics on creation') acts as a validation checkpoint. Not level 2 because validation/sequencing is explicit rather than implicit.

3 / 3

Progressive Disclosure

With no bundle files present, the skill keeps its ~100-line overview inline and delegates detail to one-level-deep, clearly-signaled sibling skills via 'load the ... skill', with no nested references and well-organized sections.

3 / 3

Total

12

/

12

Passed

Description

100%

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 is specific, well-triggered, and clearly distinguishable, naming concrete actions and both positive and negative triggers. It is concise yet complete, with no over-claims or padding.

DimensionReasoningScore

Specificity

Lists multiple concrete actions (defining the hypothesis, configuring rollout, setting up analytics) and explicitly names the two sub-skills it delegates to, matching the 'lists multiple specific concrete actions' anchor.

3 / 3

Completeness

Explicitly states what the skill does (3-step creation flow) and when to use it via a 'TRIGGER when' clause plus a 'DO NOT TRIGGER when' exclusion, clearly answering both what and when.

3 / 3

Trigger Term Quality

Includes natural phrasings users would say ('create a new experiment', 'A/B test') alongside the tool name 'experiment-create', giving good coverage of natural terms.

3 / 3

Distinctiveness Conflict Risk

The explicit negative triggers (updating existing experiments, managing lifecycle, browsing) and named delegation to sibling skills carve out a clear niche, making conflict with adjacent skills unlikely.

3 / 3

Total

12

/

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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
PostHog/posthog
Reviewed

Table of Contents

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