Content
57%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A high-signal reference skill: nearly every table carries specific formulas, 2025 benchmarks, and actionable thresholds Claude would not reliably know. Its weaknesses are structural — a monolithic 400+ line file with no progressive disclosure, a duplicated quick-reference section, a promotional footer, and no explicit end-to-end workflow tying the nine sections together.
Suggestions
Move the stage benchmark tables (NRR by ARR band, growth rate benchmarks, attribution model comparison, funnel rates) into references/ files (e.g. references/benchmarks.md, references/attribution.md) and keep SKILL.md as an overview that links to them, cutting context cost for casual invocations.
Remove the duplicated Quick Reference table (it restates ~20 facts already in sections 1-9) and the promotional "About this skill" footer, which spends tokens on marketing rather than guidance.
Add an explicit step sequence with validation gates, e.g. 1) Gather "Before Starting" context, 2) Run the data health audit and only proceed above 70%, 3) Select tier-appropriate metrics, 4) Stand up the dashboard, 5) Institute the weekly review — so the nine sections read as one workflow rather than parallel references.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The bulk is dense, non-obvious reference data (2025 benchmarks, formulas, targets) that earns its tokens, but the ~20-row Quick Reference table restates facts already given verbatim in sections 1-9, the persona opener is padded ("You are an expert in... You know that..."), and the "About this skill" section is a purely promotional footer with marketing links and UTM parameters. Mostly efficient but needs tightening, matching anchor 3 rather than anchor 4. | 3 / 5 |
Actionability | Concrete, executable guidance throughout: exact scoring formulas ("Data Health Score = (Completeness * 0.35) + (Accuracy * 0.30) + (Recency * 0.20) + (Consistency * 0.15)"), numeric thresholds ("<8 months" payback, "<5 min" speed-to-lead), a minute-by-minute weekly meeting agenda, and PQL tiers with routing actions. Falls short of anchor 5 only because metric-instrumentation and dashboard-build steps are described rather than given as runnable procedures. | 4 / 5 |
Workflow Clarity | "Before Starting" provides a context-gathering entry sequence and the Data Health grade table acts as an implicit gate ("Below 70% | F | Stop trusting pipeline reports"), but there is no explicit end-to-end sequence (gather context -> build framework -> instrument -> review) with validate-then-proceed checkpoints connecting the nine sections. Sequence is present while checkpoints remain implicit, matching anchor 3. | 3 / 5 |
Progressive Disclosure | Section headers, numbered sections, and a quick-reference table give genuinely good navigation, but this is a 400+ line monolith with no bundle files at all: the stage-by-stage benchmark tables (NRR by ARR band, growth rates, attribution model comparison) are exactly the material that belongs in references/ files loaded on demand. Good structure with inline content that should be separate matches anchor 3; it is above anchor 2's "minimal structure" but below anchor 4's "most content appropriately placed". | 3 / 5 |
Total | 13 / 20 Passed |