Conciseness

The body is ~500 lines and duplicates content: the full `source-sample.json` shape (~50 lines, SKILL.md:104-151) restates what `references/source-sample-schema.md` already contains verbatim, and the Decision rules section (SKILL.md:464-484) restates rules already stated inline (atoms-only, camelCase settings, materialize LFS). Mostly efficient domain-specific detail, but it could be tightened by leaning on the reference — anchor 3.

Actionability

Fully executable throughout: exact files to read with fallbacks (SKILL.md:41-54), a concrete command for LFS materialization (`git lfs fetch --Include=<relative path>`), a real binary-vs-pointer test (`file <path>`, >10KB vs <200 bytes), complete JSON schemas with per-field derivation rules, filename→role tables, and a copy-ready summary template. Specific examples cover the common cases — anchor 5.

Workflow Clarity

A clear four-step sequence (read run → build JSON → link/extend library → write output + summary) with explicit validation checkpoints: audit every PNG with `file` before paid lipsync calls, materialize LFS pointers before copying binaries, refuse-to-fabricate nulls for unknown library fields, and a Failure modes section with recovery paths. The batch PNG audit and library writes — the risky operations here — each have a stated checkpoint and feedback loop, matching anchor 5.

Progressive Disclosure

Section structure is good, but the one bundle file (`references/source-sample-schema.md`) is never linked from the body — its entire schema content is inlined instead — and the only cross-references ([[feedback_lfs_pointer_audit_before_paid_calls]], [[feedback_fal_subscribe_error_envelope]]) point at memory notes, not bundle files. This is the anchor 3 pattern: structure present, but content that should live in the reference is inline and the reference is not clearly signaled.

Specificity

The description enumerates concrete extracted artifacts ("recipe shot list, VO script, characters, voices, world, atom-skills, master mp4"), a precise output ("emit a source-sample.json in the exact shape the upload-ad-sample skill writes"), and concrete side effects ("links every character and voice to the central character library... adds it first then links"). This matches the anchor for multiple specific concrete actions with comprehensive coverage; nothing is vague or padded.

Completeness

It explicitly answers both questions: what ("extract everything that defines that ad... and emit a source-sample.json... Also links every character and voice to the central character library") and when ("Use when the user wants to remix one of their existing ads — this skill produces the source JSON that the script-rewriting step and remix-ad consume"). This mirrors the anchor 5 example's structure with a concrete 'Use when...' trigger.

Trigger Term Quality

Natural phrases a user would say are present ("remix one of their existing ads", "source-sample.json", "extract"), but coverage leans on project jargon ("content-goose ad-run folder", "atom-skills", "Goose Ads library") and misses common variations like "prep for remix" or "pull the sample from this run". Good keyword coverage with a few natural terms missing — anchor 4, not 5.

Distinctiveness Conflict Risk

It carves a clear niche (extracting a source sample from a finished ad run) and explicitly positions itself against adjacent skills (script-rewriting step, `remix-ad`, `upload-ad-sample`), so it is unlikely to trigger for the wrong skill. Clear niche with distinct triggers, matching anchor 5.