Content
81%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 highly actionable, well-sequenced workflow with strong validation and checklists for batch figure generation. Its main weakness is conciseness, due to duplicated figure-type guidance and Constants/style-script overlap.
Suggestions
Remove the trailing Figure Type Reference table or the Step 3 decision tree so the figure-type mapping appears once; cross-reference instead of duplicating.
Trim the Constants section to values not already encoded in paper_plot_style.py, or point to the script as the source of truth for styling.
Consider moving the detailed Step 8 checklist into a references/ file to shorten SKILL.md toward an overview while keeping the binding rules inline.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient and action-oriented, but the Figure Type Reference table duplicates the Step 3 decision tree and the Constants section overlaps with the inline style script, so it could be tightened. | 3 / 5 |
Actionability | Provides copy-paste-ready Python (style config, line/bar scripts), LaTeX table and include snippets, and a bash run loop covering the common figure cases. | 5 / 5 |
Workflow Clarity | Eight steps are clearly sequenced with explicit render-then-verify validation, a Codex review feedback loop, and a partitioned correctness/guidance checklist for this batch operation. | 5 / 5 |
Progressive Disclosure | Well-organized single file with clear section headers and no nested references; reference-like material (figure-type table, full checklist) is inline but coherent, with minor consolidation gaps. | 4 / 5 |
Total | 17 / 20 Passed |