Content
82%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 strong, information-dense skill body: sequences are explicit, parameters are specific and executable, and detail is properly pushed into two real one-level-deep reference files. The main weaknesses are mild verbosity (ASCII mockup, restated reference content) and the absence of an explicit post-launch validation checkpoint for the build mode.
Suggestions
Move the ASCII cancel-flow mockup and UI principles list into references/cancel-flow-patterns.md and replace them with a one-line pointer, cutting ~60 lines of context cost.
Add an explicit post-launch validation step to the three modes, e.g. 'After 2-4 weeks, measure save rate against the 25-35% benchmark and iterate on the weakest offer mapping.'
Trim the Tool Integrations tables to the decision-relevant rows (or move provider detail into the dunning playbook reference), since the tools registry link already covers lookup detail.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense with concrete domain data Claude does not know (discount ranges, retry schedules, recovery benchmarks, offer-to-reason mappings), so most tokens earn their place. It is not a 5 because of trimmable material: the ~40-line ASCII UI mockup, the 'You are an expert in...' role preamble, and some table rows that restate the referenced files' content. | 4 / 5 |
Actionability | For an instruction-only skill the guidance is fully executable: exact parameters ('20-30% off for 2-3 months,' 'Retry 1: 24 hours after failure... Retry 4: 7 days'), a day-by-day dunning email sequence with tone and content, a complete offer-to-reason mapping table, and a worked health-score formula with a partial-coverage example. Per the rubric's scoring notes, absence of code is not penalized when the guidance is this actionable. | 5 / 5 |
Workflow Clarity | Multi-step processes are clearly sequenced ('Trigger → Survey → Dynamic Offer → Confirmation → Post-Cancel' with five numbered steps; 'Pre-dunning → Smart retry → Dunning emails → Grace period → Hard cancel'), with some validation checkpoints ('Validate score mappings and intervention thresholds against later observed renewal/churn outcomes,' A/B testing with metrics). It is not a 5 because the three build/optimize/set-up modes lack an explicit post-launch verification step tying implementation back to the stated benchmarks (e.g., measure save rate against the 25-35% target after deploying). | 4 / 5 |
Progressive Disclosure | The body is a well-sectioned overview with two real, clearly signaled, one-level-deep references ('For detailed cancel flow patterns by industry and billing provider, see references/cancel-flow-patterns.md'; 'For the complete dunning playbook with provider-specific setup, see references/dunning-playbook.md'), and industry/provider detail is correctly split out. It is not a 5 because some inlined content (the ASCII mockup, the full UI principles list, the tool comparison tables) reads as reference material that belongs in the bundle files. | 4 / 5 |
Total | 17 / 20 Passed |