Conciseness

The body is dense with tables, rules, and operational guidance with virtually no teaching of concepts Claude already knows (no 'what is FFmpeg' or 'how codecs work' filler). Minor trimmable over-explanations remain ("Razão prática: mudanças de frame (color, cut, fit) precisam acontecer antes de legenda/overlay, porque texto posicionado antes de um crop/pad fica com tamanho ou posição errados" and "cada reencode desnecessário degrada qualidade e multiplica tempo de processamento"), matching anchor 4 rather than the every-token-earns-its-place level of 5.

Actionability

A 22-row intent→script→flags table with concrete flags (--start, --end, --accurate, --fit pad|crop|blur, -I <LUFS>, --tp), a copy-paste command with expected structured output ("python scripts/loudness.py video.mp4 -I -14 --tp -1 --json" → measured_lufs_before/after), CRF 18 for intermediate reencodes, and a preset table with concrete LUFS/aspect values. The common cases are fully executable; only long-tail scripts get vague hints ("(parâmetros de suavização)").

Workflow Clarity

A 5-step protocol with a prescribed chaining order (color/look → cut → join → silence → fit → caption/overlay → sync → audio → loudness → export), explicit validation gates (--dry-run, "Confiar no --json, nunca num número resumido em texto solto", "rodar verify.py/check.py no arquivo final antes de considerar a tarefa concluída"), an error-multiplication guard ("Batch (batch.py) só depois de validar em 1 arquivo"), and an "Evidencia de Conclusao" checklist. Validation is present, so the destructive/batch cap does not apply.

Progressive Disclosure

The body keeps a 22-row overview table inline and defers the full 42-script catalog to references/catalogo-scripts.md (verified to exist), which is clearly signaled ("Catálogo completo dos 42 scripts ... em references/catalogo-scripts.md") and one level deep — the reference points back to the SKILL.md attribution section rather than nesting further. Sections are well-organized with a clear load condition for the reference ("Carregar quando a tabela de 22 linhas do arquivo principal não cobrir a operação pedida").

Specificity

The capability statement "Edita, converte e inspeciona audio e video com FFmpeg" is broad, but the description enumerates many concrete operations via triggers ("cortar esse video", "queimar essa legenda", "normaliza esse audio", "borra o rosto", "sincroniza esse audio", "extrai os metadados desse", "exporta esse video no formato"). This matches anchor 4 (several specific actions, minor gaps) rather than 5, since the what-statement itself does not list the concrete actions, and far exceeds anchor 3's 1-2 actions.

Completeness

Both what ("Edita, converte e inspeciona audio e video com FFmpeg") and when ("Trigger em: " plus a concrete phrase list) are explicitly present, exceeding anchor 4's weaker 'when'. Not 5 because the 'what' is a terse generic summary rather than the concrete multi-action capability list of the 5-anchor example.

Trigger Term Quality

23 natural user phrases including synonyms ("borra o rosto" / "borrar rosto no video"), file extensions ("legenda .srt no video"), concrete values ("-14 LUFS"), platform names ("formato certo pro TikTok"), and the tool name "ffmpeg" itself. Comprehensive synonym and variation coverage matches the anchor 5 example (PDF files, PDFs, forms, .pdf).

Distinctiveness Conflict Risk

Clear niche (mechanical editing of local media with FFmpeg) with highly specific triggers ("queimar essa legenda", "-14 LUFS", "borra o rosto", "editar video local sem re-encodar") that would not plausibly fire a video-generation or video-analysis skill. Minimal conflict risk matches anchor 5.