Content
71%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 well-structured with strong progressive disclosure and largely actionable guidance, plus a sequenced workflow that includes validation and iteration. Its main weakness is conciseness: the inlined taxonomy, template, and examples duplicate content already promised in the referenced files.
Suggestions
Move the full 16-slug use-case taxonomy and the augmentation template into references/sample-prompts.md, keeping only a brief pointer and the two worked examples inline to cut redundancy.
Add one complete example CLI invocation (e.g. a generate and an edit command line) inline so the skill is copy-paste runnable without opening references/cli.md.
Tighten the batch path with an explicit verify-after-run checkpoint (e.g. 'after the batch completes, spot-check N outputs against the invariants before deleting the JSONL') to lift workflow clarity.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient and avoids explaining concepts Claude already knows, but the inlined 16-slug use-case taxonomy, the full augmentation template, and two worked examples overlap materially with the explicitly referenced references/sample-prompts.md and references/prompting.md, so it could be tightened to lean on those files instead. | 3 / 5 |
Actionability | Concrete and mostly executable: it names the CLI, gives uv/pip install commands, the OPENAI_API_KEY requirement, a client.images.edit(...) snippet, the model default, --out/--out-dir flags, and a fill-in prompt template with two worked examples; the minor gap is that no full CLI command line is shown inline (deferred to references/cli.md). | 4 / 5 |
Workflow Clarity | An 8-step numbered workflow with a generate/edit/batch decision tree, an explicit validation step (inspect outputs, check subject/style/composition/text accuracy/invariants) and an iterate-and-recheck feedback loop is present; it falls short of level 5 because the batch-JSONL path and validation are described somewhat implicitly rather than as a crisp verify-after-run checklist. | 4 / 5 |
Progressive Disclosure | The body is a clear overview with a dedicated Reference map giving each of the five reference files (plus the script) a one-line purpose, references are one level deep, all referenced paths verify as real files, and detail is appropriately split across cli.md, image-api.md, prompting.md, and sample-prompts.md, matching the level-5 anchor. | 5 / 5 |
Total | 16 / 20 Passed |