Content
77%Reviews 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 feedback loops, but it is a large monolithic SKILL.md whose content (venue templates, audit-pass detail, section guidelines) could be split into bundle files for better progressive disclosure, and it carries some redundancy.
Suggestions
Move the venue-specific LaTeX templates and the per-section writing guidelines into separate reference files (e.g. templates/ and references/section-guidelines.md) and link to them from SKILL.md to improve progressive disclosure.
Dedupe the de-AI watch-word list and trim the "Key Rules" section, which restates steps already detailed in the Workflow, to reduce token cost.
Consolidate the Step 5 quality pass and the trailing writing-quality reference, which overlap, into a single clearly-bounded section.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and avoids explaining concepts Claude already knows, but it is high-volume with redundancy — the de-AI watch-word list appears twice and the "Key Rules" section largely restates earlier workflow steps — so it could be tightened rather than padded. | 2 / 3 |
Actionability | It provides copy-paste-ready executable guidance throughout: concrete LaTeX snippets, curl commands for the DBLP/CrossRef fetch chain, a Python bib-filtering pattern, and an exact project file tree. | 3 / 3 |
Workflow Clarity | Steps 0–8 are clearly sequenced with explicit validation checkpoints and feedback loops — backup-before-overwrite, the verified BibTeX fallback chain, and a final checklist with "Only proceed when validation passes"-style gating. | 3 / 3 |
Progressive Disclosure | The skill is essentially a single ~400-line monolithic file; no bundle files exist in ./references, ./scripts, ./assets, or ./templates, and the referenced ../shared-references/*.md files lie outside this skill's bundle, so the large inline content is not split into well-signaled one-level-deep references. | 2 / 3 |
Total | 10 / 12 Passed |