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When the user wants to optimize post-signup onboarding, user activation, first-run experience, or time-to-value. Also use when the user mentions "onboarding flow," "activation rate," "user activation," "first-run experience," "empty states," "onboarding checklist," "aha moment," "new user experience," "users aren't activating," "nobody completes setup," "low activation rate," "users sign up but don't use the product," "time to value," or "first session experience." Use this whenever users are signing up but not sticking around. For signup/registration optimization, see signup-flow-cro. For ongoing email sequences, see email-sequence.

87

1.00x
Quality

83%

Does it follow best practices?

Impact

92%

1.00x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

72%Weight 40%Scale 1-5

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

A lean, well-structured instruction skill with concrete numeric guidance and textbook progressive disclosure — the long experiment list is properly externalized to a real reference file. Its main weakness is workflow clarity: sections are organized topically rather than as an explicit procedure, and no validation checkpoints (e.g., verify baseline metrics exist before setting activation targets) are specified.

Suggestions

Add an explicit ordered workflow near the top (e.g., 1. Read product-marketing context if present → 2. Ask the five assessment questions → 3. Define the activation event → 4. Audit funnel drop-off → 5. Produce the output-format deliverables) so the topical sections hang off a clear procedure.

Insert validation checkpoints, such as 'confirm instrumented funnel data exists before recommending a target activation rate; if not, include a measurement-setup step first' and 're-check each recommendation against the funnel data before finalizing the audit.'

Merge or differentiate the duplicated question sets ("Initial Assessment" bullets and "Task-Specific Questions") and add one small worked example — a single audit finding in the Finding → Impact → Recommendation → Priority format — to make the output format concrete.

DimensionReasoningScore

Conciseness

The body is dense and lean — tables, terse principles ("Do, Don't Show: Interactive > Tutorial"), and no explanations of concepts Claude already knows. It falls at anchor 4 rather than 5 because of minor tighten-able redundancy: "Task-Specific Questions" repeats the Initial Assessment questions nearly verbatim, and the "Activation Metrics" list partially duplicates the "Key Metrics" table.

4 / 5

Actionability

Concrete, instruction-only guidance with specific numbers and timings ("3-7 items," "Max 3-5 steps per tour," email triggers at "24h, 72h" and "days 3, 7, 14") and defined output formats. It misses anchor 5 because there is no worked example — e.g., a sample audit finding or a filled-out checklist — showing what a deliverable looks like.

4 / 5

Workflow Clarity

The process is implied by section order (assess context → define activation → design flow → coordinate channels → measure) and the Initial Assessment gives an explicit first step, but the body never sequences these into an explicit procedure and lacks validation checkpoints (e.g., confirming baseline funnel data before recommending targets). This matches 'steps present but checkpoints missing or implicit' rather than anchor 4's 'most checkpoints present.'

3 / 5

Progressive Disclosure

The SKILL.md serves as a well-sectioned overview, and the exhaustive experiment catalog is correctly split out: an inline category summary points to the real, one-level-deep [references/experiments.md](references/experiments.md), which exists in the bundle and covers the summarized categories. Navigation is easy and nothing that belongs in a reference is inlined.

5 / 5

Total

16

/

20

Passed

Description

95%Weight 40%Scale 1-5

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

An exemplary description: it defines a clear niche, exhaustively catalogs natural trigger phrases including the colloquial ways users complain about activation problems, and preempts conflicts with adjacent skills through explicit redirects. The only minor gap is that it describes capability domains rather than concrete deliverable actions.

DimensionReasoningScore

Specificity

Lists several specific capability areas — "optimize post-signup onboarding, user activation, first-run experience, or time-to-value" — plus explicit boundary referrals to sibling skills. It stays above the 'names domain and 1-2 concrete actions' anchor but below comprehensive, since it names domains rather than concrete deliverables (e.g., audit onboarding flows, design checklists, define activation metrics).

4 / 5

Completeness

Explicitly answers both what ("optimize post-signup onboarding, user activation, first-run experience, or time-to-value") and when ("Also use when the user mentions…" with concrete trigger phrases, plus the catchall "Use this whenever users are signing up but not sticking around"). Third-person voice is used throughout.

5 / 5

Trigger Term Quality

Comprehensive coverage of natural user phrasings, including colloquial complaint forms users actually say: "users aren't activating," "nobody completes setup," "users sign up but don't use the product," plus synonyms like "aha moment," "time to value," "empty states," and "onboarding checklist."

5 / 5

Distinctiveness Conflict Risk

Clear post-signup activation niche with distinct triggers, and explicit conflict resolution via redirects ("For signup/registration optimization, see signup-flow-cro. For ongoing email sequences, see email-sequence."), keeping overlap risk with closely related skills minimal.

5 / 5

Total

19

/

20

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.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
MapleTechLabs/maple
Reviewed

Table of Contents

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