Content
35%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill covers a broad scope of image generation workflows with useful model selection guidance and concrete CLI examples, but suffers significantly from verbosity and redundancy. Multiple sections restate the same core principle (analyze existing context first), pricing tables with specific dates will become stale, and the content that should be in referenced guide files is inlined. The workflow would benefit from consolidation into a single clear sequence with explicit validation steps.
Suggestions
Consolidate the 4+ sections that all say 'analyze existing context first' (Regra Mais Importante, Analise de Contexto Visual, Checklist, Responsabilidades) into a single concise checklist, cutting at least 30-40 lines.
Move the full model pricing table, provider alternatives, and pipeline details into the already-referenced `docs/skill-guides/image-generator-models.md` — keep only the decision tree and default rule in SKILL.md.
Add explicit validation checkpoints after image generation: e.g., 'Verify output dimensions match target', 'Confirm visual consistency with existing assets before saving to final path'.
Remove explanatory content Claude already knows (what types of assets are, what providers exist) and replace with a single unified workflow: Analyze → Decide mode → Generate → Validate → Save → Handoff.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is extremely verbose at ~200+ lines. It over-explains concepts Claude already knows (what a hero image is, what a favicon is), includes lengthy pricing tables that will become stale, repeats the same ideas multiple times (e.g., 'analyze context first' appears in at least 4 different sections), and has significant redundancy between sections like 'Quando Usar', 'Responsabilidades', 'Regra Mais Importante', 'Analise de Contexto Visual', and 'Checklist Antes de Gerar'. | 1 / 3 |
Actionability | The skill provides concrete CLI commands for `generate-image.mjs` with real flags and examples, plus a decision tree for model selection. However, much of the content is procedural guidance rather than executable steps — the checklist items are abstract questions rather than concrete actions, and there's no example of a complete end-to-end workflow with actual input/output. The referenced script and config files aren't provided in the bundle. | 2 / 3 |
Workflow Clarity | The multi-model pipeline (iterate → validate → final) is a clear sequence, and the decision tree helps with model selection. However, there are no explicit validation checkpoints — no step says 'verify the generated image meets X criteria before proceeding' or provides error recovery guidance. The overall workflow across the many sections is fragmented and hard to follow as a coherent sequence. | 2 / 3 |
Progressive Disclosure | The skill references external files appropriately (image-generator-models.md, models/image-models.json, various policies) and delegates favicon/OG/PWA to skill 36. However, the main file itself is a wall of content that should have been split — the full pricing table, model comparison, and provider alternatives could live in the referenced guide file. No bundle files are provided to verify the references exist. | 2 / 3 |
Total | 7 / 12 Passed |