Content
77%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-structured, comprehensive skill with excellent workflow clarity and progressive disclosure. Its main weakness is verbosity in the design aesthetics section, which spends significant tokens on coaching Claude about creative design philosophy rather than providing concrete, actionable patterns. The actionability is strong but could benefit from inline code snippets showing example HTML output rather than delegating everything to supporting files.
Suggestions
Trim the 'Design Aesthetics' section significantly—condense the anti-AI-slop guidance into 3-4 bullet points of concrete do/don't rules rather than philosophical coaching paragraphs.
Add a brief inline example of what a generated slide's HTML structure looks like (even 10-15 lines) so the skill is more self-contained and actionable without requiring reading html-template.md first.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is fairly long (~200+ lines) and includes some unnecessary explanations (e.g., the 'Design Aesthetics' section extensively explains what AI slop is and how to avoid it, which is more philosophical than actionable). The viewport fitting rules and content density tables are efficient, but the overall document could be tightened—particularly the design guidance which reads more like coaching than instruction. | 3 / 5 |
Actionability | The skill provides concrete steps, specific commands (e.g., `python scripts/extract-pptx.py`), clear tables for content density limits, and references to specific files to read. However, it lacks inline executable code examples—the actual HTML/CSS/JS generation is delegated to supporting files. The phases are well-defined with specific actions, but some steps like 'generate 3 distinct single-slide HTML previews' lack concrete templates. | 4 / 5 |
Workflow Clarity | The multi-phase workflow (Phase 0 through Phase 5) is clearly sequenced with explicit decision points (Mode A/B/C detection), user confirmation checkpoints (AskUserQuestion calls), and validation steps (Mode C modification rules include explicit verification steps). The PPT conversion path includes a confirm step before proceeding. The workflow handles branching paths cleanly. | 5 / 5 |
Progressive Disclosure | Excellent structure with a clear overview in SKILL.md and well-signaled one-level-deep references to supporting files (STYLE_PRESETS.md, viewport-base.css, html-template.md, animation-patterns.md, extract-pptx.py). The supporting files table at the bottom clearly maps each file to its purpose and when to read it. Content is appropriately split between the main skill and referenced files. | 5 / 5 |
Total | 17 / 20 Passed |