Content
71%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.
This is a high-quality domain knowledge skill: the decision frameworks, numeric thresholds, and edge cases are concrete and directly actionable, and the core workflow is clearly sequenced with review triggers and a monitor-and-adjust loop. The two weaknesses are token efficiency (textbook method/metric explanations that Claude already knows dilute the retail-specific heuristics) and structure (everything inlined in one long SKILL.md rather than splitting edge cases and reference tables into one-level-deep files).
Suggestions
Trim the educational primers (SES/Holt/Holt-Winters definitions, MAPE/bias definitions, the EOQ and textbook safety-stock derivations) down to just the retail-specific parameters, thresholds, and pitfalls — Claude already knows the textbook material.
Move the Key Edge Cases, Communication Patterns templates, and Escalation/KPI tables into separate reference files (e.g., references/edge-cases.md, references/escalation.md) and link them from SKILL.md, keeping the core method-selection and safety-stock frameworks inline.
Make the feedback loop explicit as a gated step: e.g., 'Only proceed to PO generation when holdout WMAPE is below the segment threshold; otherwise re-select the method per the fallback column'.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body mixes genuinely valuable codified heuristics (WMAPE thresholds, tracking-signal ±4 trigger, lift ranges, markdown timing rules) with textbook explanations Claude already knows, e.g. 'Single exponential smoothing (SES, alpha 0.1–0.3) suits stationary demand with noise', the standard 'SS = Z × σ_d × √(LT + RP)' derivation, 'EOQ = √(2DS/H)', and a definition of MAPE/Bias. It is mostly efficient but several definitional passages (forecasting-method primers, metric definitions, reorder-logic basics) could be trimmed to just the retail-specific thresholds and rules of thumb, matching the 'mostly efficient but includes some unnecessary explanation' anchor rather than the lean 4–5 anchors. | 3 / 5 |
Actionability | As an instruction-only knowledge skill, the guidance is fully actionable: exact numeric triggers ('WMAPE > 25% for 4 consecutive weeks', 'tracking signal exceeds ±4', 'markdown when sell-through drops below 60% of plan'), concrete formulas inline, a complete method-selection table with primary/fallback methods and review triggers, a service-level matrix with Z-scores, and a 5-step promotional lift decision framework with a default dip profile ('40% of incremental lift, concentrated 60/30/10'). Per the rubric's code-vs-instruction note, absence of code is not penalized when guidance is this specific, matching the top anchor. | 5 / 5 |
Workflow Clarity | 'How It Works' gives a clear 6-step sequence (collect signals → select method → apply lifts → compute safety stock → generate POs → monitor accuracy and adjust), with a genuine feedback loop in step 6 and per-method 'Review Trigger' columns that define when to re-select a model. It falls short of a 5 because the intermediate checkpoints are implicit rather than explicit validation steps (e.g., no 'verify forecast accuracy before generating POs' gate), matching the 'clear sequence with most checkpoints present; minor validation gaps' anchor. Note this is a planning/advisory skill, not a destructive or batch operation, so the missing-validation cap does not apply. | 4 / 5 |
Progressive Disclosure | The file has good section structure (Core Knowledge, Decision Frameworks, Key Edge Cases, Communication Patterns, Escalation Protocols) with clear headers, so it is not a monolithic wall of text. However, the entire ~240-line knowledge base lives in a single SKILL.md with no references/ or other bundle files, and substantial content that would serve better as separately linked material is inlined — the eight edge cases, the communication templates, and the escalation/KPI tables. The body even notes 'Brief summaries are included here so you can expand them into project-specific playbooks if needed', acknowledging content that belongs at a deeper level. This matches the 'some structure but could be better organized; content that should be separate is inline' anchor. | 3 / 5 |
Total | 15 / 20 Passed |