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.
The body is a strongly actionable, verifiable reference: complete commands, preflight checks, resolution-mapping rules, and error-recovery guidance all match the actual bundled script. Its weaknesses are redundancy (repeated cwd/provider/key instructions that could be tightened or deduplicated) and a long inline body whose peripheral sections could be split into reference files.
Suggestions
Deduplicate repeated guidance: state the run-from-user's-cwd rule once and collapse provider/key resolution into the existing table instead of restating it in the intro, fallback notes, and API Keys sections.
Move the filename-generation pattern and prompt templates into a short reference file (e.g. references/prompting.md), keeping SKILL.md as a lean overview with one-level-deep links.
Trim the Examples section to one generate and one edit command — the full flag surface is already shown in Usage.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient — no explanations of concepts Claude already knows — but with noticeable repetition: the "run from the user's working directory" rule is stated three times, provider selection is explained in the intro list, the table, the fallback notes, and the API-keys section, and the full command template is repeated in the Examples section. This fits 'mostly efficient but includes some unnecessary explanation or could be tightened'. | 3 / 5 |
Actionability | Every workflow is backed by complete, executable `uv run` commands with the full flag surface; the preflight gives literal shell checks (`command -v uv`, `test -n "$OPENAI_API_KEY"`, `test -f`), and the failures section maps exact error strings to fixes. The one placeholder, `<this-skill-directory>`, is explicitly justified ("Resolve the full path from the skill's location… Do not hardcode"), and the referenced script exists with all documented flags. | 5 / 5 |
Workflow Clarity | The default workflow is clearly sequenced (preflight checks → 1K draft → iterate with a stable --input-image → 4K final only when the prompt is locked), with explicit validation up front and a feedback loop: the Common Failures section maps exact runtime errors to corrective actions, including when fallback applies and how to re-enable it. Image generation is neither destructive nor batch, so no validation cap applies. | 5 / 5 |
Progressive Disclosure | Good structure: the implementation is correctly externalized into the single real bundle file `scripts/generate_image.py` (verified to exist with all documented flags), and the body is well-sectioned with clear headers. But the body runs ~170 lines with inline detail — filename-generation rules, prompt templates, key-resolution precedence, error tables — some of which would sit better in a one-level-deep reference file, leaving minor organization gaps versus the 'appropriately split' anchor 5. | 4 / 5 |
Total | 17 / 20 Passed |