Content
65%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 well-structured domain skill with excellent progressive disclosure — every deep-dive area has a real, clearly-labeled one-level-deep reference file — and largely actionable specifics (SLAs, tiers, stage tables, defined output deliverables). The main weaknesses are redundancy and recitation of generic RevOps knowledge Claude already has, and the absence of a unified end-to-end workflow with explicit checkpoints.
Suggestions
Trim or move generic RevOps knowledge Claude already knows (funnel stage definitions, CAC/LTV benchmarks, published speed-to-lead statistics) into the reference files, keeping only the skill's opinionated thresholds and rules in SKILL.md.
Merge 'Task-Specific Questions' into the 'Before Starting' context list — both sections ask about CRM platform and current lead-management state — and cut aphorisms like 'Automating a broken process just creates broken results faster.'
Add a top-level workflow (gather context → diagnose bottleneck → design the relevant artifact → deliver per Output Format) with explicit checkpoints, mirroring the well-sequenced scoring-model build, and include one worked example of a deliverable such as a routing decision tree.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient — dense tables and skill-specific thresholds (4-hour/48-hour SLAs, discount approval tiers) — but it recites standard RevOps knowledge Claude already has (MQL/SQL funnel definitions, BANT-style opportunity criteria, CAC/LTV:CAC benchmarks, published speed-to-lead statistics) and duplicates context-gathering questions across 'Before Starting' and 'Task-Specific Questions.' This matches the 3 anchor ('mostly efficient but includes some unnecessary explanation or could be tightened'); it is not padded enough for 2, and the generic-knowledge recitation and redundancy rule out 4. | 3 / 5 |
Actionability | As an instruction-only skill it provides concrete, specific guidance: SLA timings ('contacts within 4 hours... qualifies or rejects within 48 hours'), discount approval tiers by deal size, stage tables with entry/exit criteria and required fields, metric formulas with benchmarks, and an Output Format specifying five concrete deliverables. It falls short of the 5 anchor because there are no worked examples of those deliverables (e.g., a sample routing decision tree or scoring spec) and some sections are consideration lists rather than executable steps. | 4 / 5 |
Workflow Clarity | Sequences exist in places — the scoring-model build is well ordered with validation and rollback ('freeze the rule and test a later, fully observed holdout... pilot with monitoring and rollback') and 'Before Starting' orders context gathering — but the skill as a whole is a set of parallel domain modules with no unified end-to-end sequence connecting diagnosis to design to delivery, and checkpoints are mostly implicit. This matches the 3 anchor; the 4 anchor requires a clear overall sequence with most checkpoints present. No destructive/batch cap applies. | 3 / 5 |
Progressive Disclosure | Five real reference files (lifecycle-definitions, scoring-models, routing-rules, inbound-routing, automation-playbooks) are each clearly signaled with purpose ('For complete lifecycle stage templates and SLA examples: See references/lifecycle-definitions.md'), all body paths resolve to actual files, and references are one level deep (only external URLs inside them). Content is appropriately split (~350-line overview body vs. ~1,100 lines of detail in references) with well-organized sections, matching the 5 anchor. | 5 / 5 |
Total | 15 / 20 Passed |