Content
82%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.
A well-organized, highly actionable body: fully executable commands, complete flag documentation, worked examples, and an error-recovery section. The weaknesses are minor — some repeated default values across sections and reference tables (aspect ratios, model list) that could be split into a reference file for a leaner core SKILL.md.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is efficient and assumes competence — option tables and command examples carry the weight with no conceptual padding — but there is minor redundancy: defaults are stated twice ("Model preference (optional, defaults to gemini-3.1-flash-image-preview)" vs Best Practices #6, and "Resolution (optional, defaults to 1K)" vs Best Practices #5). This matches the 'efficient with minor instances that could be trimmed' anchor rather than the 'every token earns its place' anchor of 5. | 4 / 5 |
Actionability | All guidance is copy-paste-ready: executable `python3 ${CLAUDE_SKILL_DIR}/nanobanana.py` invocations with every flag shown (`--prompt`, `--input image1.png image2.png`, `--size`, `--resolution`, `--model`), plus five worked examples covering the common cases (simple, sized output, high-res landscape, editing, pro model). This matches the 'fully executable, copy-paste ready, covers common cases' anchor. | 5 / 5 |
Workflow Clarity | Both generation and editing workflows are clearly sequenced (ask the user for prompt/inputs → run the script → show the saved path), and the Error Handling section forms a feedback loop (check `GEMINI_API_KEY`, verify inputs are readable, retry with a more specific prompt). This matches the 'clear sequence with most checkpoints; minor validation gaps' anchor — the success step ("Show the user the saved image path when complete") exists but there is no explicit verify-output step that would warrant a 5. Image generation writes new files rather than destructively modifying inputs, so the destructive-operation cap does not apply. | 4 / 5 |
Progressive Disclosure | No bundle files exist (no references/, scripts/, or assets/ directories), so the self-contained body is judged on its own structure: well-labeled sections (Requirements, Instructions, Available Options, Examples, Error Handling, Best Practices) with genuinely script-specific reference data (exact pixel sizes, model IDs, flags) that Claude cannot already know. This matches the 'good structure; most content appropriately placed; minor organization gaps' anchor — the 11-row aspect-ratio table is the kind of reference material that could live in a separate file, which keeps it from the 'appropriately split, easy navigation' anchor of 5. | 4 / 5 |
Total | 17 / 20 Passed |