Content
67%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.
This is a strong, information-dense orchestration skill: nearly every section carries executable commands, exact validation constraints, decision tables, and explicit anti-patterns, with a well-designed one-level-deep reference bundle. Its weaknesses are redundancy — key rules stated twice and version/date pins scattered without a dedicated section — and the absence of a single end-to-end workflow walkthrough in the body itself.
Suggestions
De-duplicate the hard rules: keep the 'Regras Duras' table as the single source and trim the narrative restatements in 'Movimento a Partir de Video' and 'Rasterizacao' to one-line pointers to it.
Collect time-sensitive pins (Godot 4.7.2, Python 3.11/3.12, PyTorch 2.7, CUDA 12.6, Wan-Animate-2 Agosto 2026, 'resolucao recomendada atual 640', curation date) into a single 'Versoes' block — ideally in references/licensing-and-hardware.md — so they decay in one place.
Move the full MotionPlan field enumeration (lines 130-144) into references/assetctl-cli-reference.md, keeping only the top 5 fields plus the pointer in the body, and consolidate the duplicated licensing-table pointers in 'Licenciamento e Hardware' and 'Fontes' into one.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and assumes Claude's competence (no basic-concept explanations, compressed tables, accents stripped), but several rules are stated twice — the anti-patterns in 'Movimento a Partir de Video' and 'Rasterizacao' are repeated nearly verbatim in the 'Regras Duras' table, and the licensing-table pointer appears in both 'Licenciamento e Hardware' and 'Fontes'. Scattered time-sensitive pins (Godot 4.7.2, Python 3.11/3.12, PyTorch 2.7, 'Wan-Animate-2 (Agosto 2026)', 'Curadoria em 2026-08-27') are not collected in a versions/deprecated section, which the guidelines penalize. Mostly efficient but could be tightened fits anchor 3 rather than anchor 4. | 3 / 5 |
Actionability | Concrete executable fragments appear throughout: 'ffmpeg -i video.mp4 -vf fps=30 frames/%06d.png', 'extract_pose.py --backend dwpose', 'python main.py --disable-auto-launch --listen 127.0.0.1 --port 8188', 'Spine -i x.spine -o dist -e export.json', exact Pydantic constraints (fps 1-240, frames 1-10000, version Literal["1.0"], pattern ^[a-z0-9_]+$, extra="forbid"), and bpy render parameters (film_transparent=True, scene.frame_set, write_still=True). It falls short of anchor 5 because several pieces remain fragments (pack_grid, extract_pose.py, diffusers invocation) and the full end-to-end example is deferred to references/assetctl-cli-reference.md. | 4 / 5 |
Workflow Clarity | Processes are clearly sequenced (source -> accurig -> config -> motions -> build -> dist; master -> Qwen-Image-Layered -> layers -> SAM refinement; segmentation -> expand bounding region -> inpaint -> clean alpha) with explicit validation gates: 'Validacao obrigatoria com Pydantic antes de qualquer execucao', a Checkpoint describing cache invalidation and recalculation from the failed stage, and an 'Evidencia de Conclusao' checklist. It does not reach anchor 5 because the body contains no single end-to-end ordered walkthrough — the numbered pipeline procedure lives in the reference file — so checkpoints are per-section rather than one coherent loop. | 4 / 5 |
Progressive Disclosure | The body opens with a subject-to-file navigation table ('carregar so o arquivo relevante a task'), the three referenced files (references/assetctl-cli-reference.md, licensing-and-hardware.md, testing-and-ci.md) all exist, are one level deep, and are clearly signaled with per-section pointers, and dense material (full CLI tree, 14-entry license table, CI test groups) is correctly split out. The minor gap keeping it below anchor 5: several paths cited in the body (GLOBAL.md, policies/*.md, skills/68-character-animation-3d/SKILL.md and other skills/*) are not part of this bundle, and some dense content (the full MotionPlan field enumeration, bone-naming tree) sits inline in an already ~340-line overview. | 4 / 5 |
Total | 15 / 20 Passed |