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render-offer-ad

Render a punchy ~12s vertical (9:16) music-only direct-response OFFER ad as a 4-beat kinetic-typography film — HEADLINE slam → real PRODUCT drop → CLAIM/proof → CTA pill — from one config of copy slots, a real product photo, a brand palette, fonts, bpm, and beat split. DETERMINISTIC + FREE (a bundled Remotion project; springs + interpolate, no AI-gen for visuals). Backgrounds are engine gradient divs off the palette, props are inline SVG, the ONLY composited bitmap is the REAL product photo (objectFit:contain, never stretched), and ALL headline/claim/CTA/URL/wordmark text is typeset in the engine — never AI-rendered (the format's credibility guard). A driver binds the config to Remotion input props, renders the 9:16 master, and derives a 1:1 center-crop with ffmpeg. Two gating checks run before render (claim verbs must match the product's physical format; the claim beat needs an edge-entry mechanism prop). Use for the motion-graphics-offer-ad format.

70

Quality

86%

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

88%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A strong, executable skill body: concrete run commands, a config→props mapping, validation-gated workflow with a QC checklist, and one-level-deep pointers to real bundled files. Minor conciseness/recap redundancy with the description and some inline material that could be offloaded to references keep it from maxing every dimension.

DimensionReasoningScore

Conciseness

The body is information-dense and avoids explaining concepts Claude already knows (no 'what is Remotion' filler); it does recap several points already in the description (beat list, bitmap rule, gating checks) which could be tightened, keeping it just under a 5.

4 / 5

Actionability

Provides a copy-paste-ready Run block with explicit `python3 scripts/render.py --config ...` commands, expected output paths, a full config→props mapping table, and a concrete scripts/project file map — fully executable guidance covering the common case.

5 / 5

Workflow Clarity

The Run section gives a numbered, sequenced flow (install deps → bind config → render 9:16 → ffmpeg 1:1 crop) and explicitly bakes in validation checkpoints — the two gating checks run before render and `render.py` rejects bad configs — plus a QC 'watch' checklist, matching the explicit-validation anchor.

5 / 5

Progressive Disclosure

SKILL.md is a clear overview with well-signaled one-level-deep references to bundled files (`scripts/render.py`, `scripts/config.example.json`, `project/src/props.ts`, etc.) that exist on disk; it stays one level deep, but the substantial inline craft-rules and config-mapping table arguably belong partly in a reference file, so it stops just short of a 5.

4 / 5

Total

18

/

20

Passed

Description

83%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A dense, highly specific description that names concrete actions, the output format, the engine, and explicit gating checks, plus a 'Use for...' trigger clause. It is slightly verbose and format-jargon-heavy for trigger-term naturalness, but it answers what, when, and how distinctly.

DimensionReasoningScore

Specificity

Names multiple concrete actions — 'Render a punchy ~12s vertical (9:16) music-only direct-response OFFER ad as a 4-beat kinetic-typography film' with explicit beat sequence, plus 'derives a 1:1 center-crop with ffmpeg' and 'Two gating checks run before render' — comprehensive and highly specific actions.

5 / 5

Completeness

Clearly states 'what' (render a 4-beat offer ad) and ends with 'Use for the motion-graphics-offer-ad format' as an explicit trigger clause, satisfying both what and when; the 'when' is explicit but quite format-specific rather than enumerating concrete user trigger phrases, so it stops just short of a 5.

4 / 5

Trigger Term Quality

Includes natural terms a user might say — 'vertical', '9:16', 'direct-response OFFER ad', 'kinetic-typography', 'Remotion' — but the phrasing leans format-internal ('offer ad', 'beat split', 'mechanism prop') rather than the most common user-facing synonyms like 'short-form video ad' or 'vertical commercial'.

4 / 5

Distinctiveness Conflict Risk

A very specific niche — music-only 9:16 kinetic-typography offer ads via a bundled Remotion project — that is clearly distinguishable from other skills; the 'Use for the motion-graphics-offer-ad format' trigger minimizes conflict risk.

5 / 5

Total

18

/

20

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
gooseworks-ai/goose-skills
Reviewed

Table of Contents

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