Content
78%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.
The body is highly actionable and well-sequenced with executable examples and a clear recommended workflow, but it is a long single-file monolith that inlines several advanced topics which would benefit from being split into one-level-deep reference files.
Suggestions
Split the deepest advanced sections (Custom value types: TypeSpec, complexity_mapping, PDE discovery, Dimensional constraints) into separate reference files under references/ and link to them from SKILL.md with one-line summaries, so the main file stays a lean overview.
Break up the densest run-on paragraphs (notably the guesses insertion and TypeSpec configuration passages) into shorter bullets or labeled sub-steps to improve scannability and reduce token cost per concept.
Add an explicit validate→fix→retry checkpoint in the Recommended workflow (e.g., after the brief debug run: inspect equations_, confirm loss is sensible, then only proceed to the long-budget run) to make the workflow feedback loop explicit.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense with genuinely non-obvious PySR/Julia operational gotchas and largely avoids explaining concepts Claude already knows, but at ~350 lines several run-on passages (e.g., the guesses and TypeSpec sections) pack multiple gotchas into single sentences that could be trimmed or split for readability. | 4 / 5 |
Actionability | Every major section ships copy-paste-ready, executable code with concrete parameters and exact signatures — Quick start, custom operators, loss_function, TemplateExpressionSpec, TypeSpec, and complexity_mapping all give complete runnable examples covering the common cases. | 5 / 5 |
Workflow Clarity | The "Recommended workflow" is a clear 6-step numbered sequence with concrete guidance and implicit checkpoints ("Debug briefly" before a long run, monitor hall_of_fame.csv), and the Troubleshooting table provides error-recovery feedback; it stops short of explicit validate→fix→retry loops but the task is not destructive, so no cap applies. | 4 / 5 |
Progressive Disclosure | The file is well-sectioned with clear headers, but it is a ~350-line monolith with no bundle/reference files, and substantial advanced material (TypeSpec, complexity_mapping, PDE discovery, dimensional constraints) is inlined that would more naturally live one level deep in separate reference files. | 3 / 5 |
Total | 16 / 20 Passed |