Content
67%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, actionable analysis workflow with concrete code and API examples and a clear step sequence. Its main weakness is redundancy — pattern types and best-practice guidance are repeated across sections — and a long inlined output template that could live in a reference file.
Suggestions
Consolidate the pattern-type material: "Step 5: Identify Pattern Types" and "Common Trend Patterns and Causes" cover the same patterns (exponential, linear, step, declining) — merge them into one section to remove duplication.
Merge "Skill-Specific Best Practices" and "Tips for Effective Analysis", which overlap heavily (granularity, decomposition, drivers, actionability), into a single concise best-practices list.
Move the long templated "Output Format" section into a separate reference file (e.g. references/output-format.md) and keep only a brief pointer in SKILL.md to reduce inlined bulk.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly useful and avoids explaining basic concepts, but it duplicates material across sections — pattern types appear both in "Step 5: Identify Pattern Types" and again in "Common Trend Patterns and Causes", and guidance overlaps between "Skill-Specific Best Practices" and "Tips for Effective Analysis" — so it could be tightened. | 3 / 5 |
Actionability | It provides concrete, executable guidance: a runnable Python script for growth metrics, specific get_cost_data calls with real parameters and dimension names, and a firm "all math in code" rule with security constraints; minor gaps remain where forecasts and the output format are prose/placeholder templates rather than executable code. | 4 / 5 |
Workflow Clarity | The process is laid out as a clear, ordered Step 1 through Step 8 sequence with well-defined inputs per step; because this is read-only analysis rather than destructive/batch work the missing-data validation cap does not apply, though no explicit data-quality validation checkpoints are present, keeping it just below the top anchor. | 4 / 5 |
Progressive Disclosure | Structure is good with clear sections and a "See Also" list of one-level-deep references (best-practices, tools, error-handling, dimensions, cost-types), but no bundle files are actually provided and the referenced paths point outside this bundle, while a fair amount of reference-like material (output templates, pattern catalog) is inlined, leaving minor organization gaps. | 4 / 5 |
Total | 15 / 20 Passed |