Content
57%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The skill is concise and well-organized but its workflow is too abstract to be actionable, offering no concrete tools, code, or encoding guidance. It reads as an outline rather than executable instruction.
Suggestions
Add concrete guidance to the workflow — e.g., specific encoding heuristics (bar for categorical comparisons, line for time series, scatter for correlation) and a concrete sanity-check checklist.
Name concrete libraries or commands for producing visuals, or reference a script/bundle file for the heavy lifting, so the skill is copy-paste ready rather than descriptive.
Tighten step 4 into an explicit validation checklist (axes labeled, units stated, missing values flagged, legend present) with a retry/fix loop.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and efficient, assumes Claude's competence, and contains no concept padding — every section earns its place. | 3 / 3 |
Actionability | Workflow steps are abstract direction ('Inspect the data', 'Choose encodings', 'Produce the visual') with no concrete code, commands, or specific guidance — it describes rather than instructs. | 1 / 3 |
Workflow Clarity | Four steps are sequenced, but the 'Sanity-check axes, units, and missing values' step is vague with no explicit validation checkpoint or error-recovery loop. | 2 / 3 |
Progressive Disclosure | Under 50 lines with no external references needed; sections (When to use / Non-goals / Workflow) are well-organized, satisfying the simple-skill exception. | 3 / 3 |
Total | 9 / 12 Passed |