Content
85%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-engineered skill body: correct-by-construction rules paired with the right alternative, explicit validation checkpoints with a post-retarget feedback loop, and genuine progressive disclosure into four real reference files. The two dimensions short of full marks reflect small token inefficiencies (the inline license table, repeated reference citations) and the absence of an inline runnable end-to-end script, which currently requires opening a reference file.
Suggestions
Move the per-tool license table from "## Fontes" into a reference file (e.g. references/rig-layers-and-formats.md or a licenses note), keeping only the warning about unconfirmed licenses (MDM/MoMask) inline — the full table is due-diligence material, not pipeline guidance.
Consolidate reference pointers: the Governanca table already maps topic to file, so per-section re-citations (e.g. repeated mentions of references/retargeting-math-and-scripts.md) can be trimmed to one pointer each.
Inline a minimal executable pipeline skeleton (import -> resolve_mapping -> retarget -> bake -> export, ~15 lines of bpy) in the body so the most common case runs without opening references/retargeting-math-and-scripts.md.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and assumes Claude's competence (no explanations of what Blender/FBX/quaternions are), pushes bulk material to references, and encodes rules in terse tables ("Regras Duras", Governanca file map). Minor trimming is possible: the "## Fontes" license table (~25 lines) is peripheral to executing the pipeline, and each section re-cites the reference file already mapped in the Governanca table. This sits above anchor 3 (mostly efficient, some unnecessary explanation) but has small padding — anchor 4 fits better than 5. | 4 / 5 |
Actionability | Concrete, executable guidance is present: the CLI invocation "blender --background --python pipeline.py -- --character x.fbx --motion y.bvh --output z.fbx", the exact bake call "bpy.ops.nla.bake(visual_keying=True, clear_constraints=True, bake_types={\"POSE\"})", named functions (find_armature(), BONE_ALIASES + resolve_mapping), the retargeting delta formulas, and hard rules with the correct alternative for each. The gap versus anchor 5: no complete end-to-end script is inline (the full pipeline script lives in references/retargeting-math-and-scripts.md), so the common case is not copy-paste runnable from the body alone — mostly executable with minor gaps. | 4 / 5 |
Workflow Clarity | The layered architecture section sequences the full pipeline (AccuRIG -> FBX -> import/mapping/retarget/bake -> export), and validation is explicit with feedback loops: mapping "falha explicitamente (RuntimeError) quando falta uma articulacao essencial", the "Checkpoint pós-retarget" step (reproduce, observe foot sliding/mesh penetration, fix and re-bake before export — not after in the engine), and the "Evidencia de Conclusao" completion checklist. This matches the top anchor: clear sequence, explicit validation, error-recovery loop, and checklist. | 5 / 5 |
Progressive Disclosure | SKILL.md is a true overview: a Governanca table maps each topic to one of four reference files, all of which exist and contain self-contained content (verified), each section re-signals which reference holds the detail, and dense material (full BONE_ALIASES dictionary, complete scripts, comparison tables) lives in the references. Cross-links between reference files are lateral navigation, not 2-level content hiding — matching the anchor for a clear overview with well-signaled one-level-deep references and easy navigation. | 5 / 5 |
Total | 18 / 20 Passed |