Content
75%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.
Highly actionable content with concrete commands, a priced model table, and an explicit validation checkpoint with a feedback loop. Its main weaknesses are redundancy of the context-analysis message across sections and inlining of reference-grade model details that the referenced docs file already covers.
Suggestions
Consolidate the repeated 'analyze existing visual context first' guidance into one section (Regra Mais Importante or Analise de Contexto Visual) and have other sections reference it instead of restating it.
Move the full fal.ai model pricing table and decision tree into docs/skill-guides/image-generator-models.md, keeping only the canonical default-rule table and a pointer inline in SKILL.md.
Add a single unified numbered execution workflow (analyze context → choose t2i/i2i → generate → visual checkpoint → save to output path) so the end-to-end sequence is readable in one place rather than assembled across sections.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient and information-dense, but the "analyze existing visual context first" message is restated across Regra Mais Importante, Analise de Contexto Visual, Checklist Antes de Gerar, Regras de Prompt, and Evidencia de Conclusao — more than minor redundancy that could be tightened. | 3 / 5 |
Actionability | Provides copy-paste-ready `node scripts/generate-image.mjs` commands with concrete flags (--prompt, --ref, --model, --aspect, --out, --list), env vars with fallbacks, a priced model table with endpoints, a decision tree, and a multi-stage pipeline covering the common cases. | 5 / 5 |
Workflow Clarity | Clear phased sequence with ordered analysis steps, a pre-generation checklist, a recommended pipeline, and an explicit visual-validation Checkpoint with a feedback loop (adjust prompt and regenerate rather than retry blindly). Held at 4 because the end-to-end workflow is distributed across several sections instead of one unified sequenced procedure. | 4 / 5 |
Progressive Disclosure | Well-sectioned body acting as an overview with clearly signaled one-level-deep references (docs/skill-guides/image-generator-models.md "carregado sob demanda", models/image-models.json as "Fonte única"). Held at 4 because the model pricing table and decision tree are inlined reference-grade content that could be delegated to the referenced detail file. | 4 / 5 |
Total | 16 / 20 Passed |