Content
77%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 highly actionable body with executable commands, a well-sequenced workflow, and a genuine visual-validation feedback loop. Its weaknesses are repetition of model/pricing guidance across three sections with time-sensitive data, and an inlined pricing table whose details belong in the on-demand reference doc it points to.
Suggestions
Collapse the 'Regra Default' table, the fal.ai model table, and the 'Decisao rapida' tree into one canonical model-selection section (or delegate to docs/skill-guides/image-generator-models.md), keeping only the default rule inline.
Move volatile pricing out of SKILL.md entirely and point to models/image-models.json as the single source of truth, so the skill body carries no dated price snapshots.
Trim overlap between 'Quando Usar', 'Analise de Contexto Visual', and 'Checklist Antes de Gerar' — the context-analysis checklist subsumes most of the other two sections.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient (imperative bullets, dense tables, no explanations of concepts Claude already knows), but the fal.ai model guidance is restated three ways — the 'Regra Default' table, the full model pricing table, and the 'Decisao rapida' tree — and it embeds time-sensitive pricing ('atualizado 2026-05', '$0.020/img') outside any deprecated/reference section. This matches 'mostly efficient but could be tightened'; not 4 because the triplicated model info and volatile pricing are real trimming targets. | 3 / 5 |
Actionability | Fully executable, copy-paste-ready commands are given: 'node scripts/generate-image.mjs --prompt "minimalist hero, blue gradient" --aspect 16:9 --out public/hero.jpg' with --ref, --model, --list variants, auth env vars (FAL_AI_API_KEY), and concrete output-path preferences. Model defaults, overrides, and cost estimates cover the common cases — the top anchor. | 5 / 5 |
Workflow Clarity | The workflow is clearly sequenced: an ordered 5-step context analysis, a pre-generation checklist, decision rules (t2i vs i2i), and an explicit validation feedback loop — 'abrir o arquivo gerado e confirmar visualmente... Se nao corresponder, ajustar o prompt... e regenerar. Nunca commitar um asset que nao foi aberto ao menos uma vez.' Evidence-of-completion and handoff checklists close the loop, matching the explicit-validation anchor. | 5 / 5 |
Progressive Disclosure | References are clearly signaled and one level deep ('Ver docs/skill-guides/image-generator-models.md (carregado sob demanda)'), but no bundle files exist (no references/, scripts/, assets/) so every referenced path — scripts/generate-image.mjs, models/image-models.json, the model guide — lives outside the skill, and a ~40-line pricing table the body itself says is documented more granularly elsewhere is inlined. This sits between 'content that should be separate is inline' (2) and 'good structure, references mostly clear' (4). | 3 / 5 |
Total | 16 / 20 Passed |