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render-mosaic-grid-reveal

Render a 'mosaic-grid-reveal' video from a config — a real-DOM FULL-BLEED N×N mosaic of real product tiles that pops in one tile at a time (scatter order, ease-out-back overshoot), the grid clears, then the brand wordmark builds line-by-line followed by a sub-label, tagline, and CTA; frame-stepped via Playwright and encoded with FFmpeg — deterministic assembly, FREE (the music bed comes from create-music-elevenlabs), so the wordmark, tile captions, and CTA stay pixel-crisp. Use for the mosaic-grid-reveal format.

64

Quality

78%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./skills/ads/capabilities/render-mosaic-grid-reveal/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

80%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.

The body is well-structured, actionable, and uses progressive disclosure effectively with real bundle files. Its weak spot is the absence of a validation/verification step in the batch render workflow, which caps workflow clarity.

Suggestions

Add an explicit verification step after rendering, e.g. 'Verify: ffprobe master-silent.mp4 shows ~duration_sec at fps frames; spot-check the first and last frames.'

Trim the opening paragraph's restatement of mechanics already covered by the description to recover a few tokens.

DimensionReasoningScore

Conciseness

Dense, purposeful bullets and commands with no padding about tools Claude already knows; the opening paragraph re-describes mechanics already in the description, which could be trimmed.

4 / 5

Actionability

Provides copy-paste-ready commands for the full pipeline (build_html.py, render.py, and the ffmpeg mux line) plus exact config keys and a pointed-to filled example file.

5 / 5

Workflow Clarity

The render pipeline sequence is clear, but a batch video render has no validation/verification checkpoint (e.g. confirm frame count or inspect the output), which caps workflow clarity at 3.

3 / 5

Progressive Disclosure

A well-sectioned overview (Inputs, Run, Rules) pointing to real one-level-deep bundle files (config.example.json, build_html.py, render.py) that are clearly signaled and easy to navigate.

5 / 5

Total

17

/

20

Passed

Description

76%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.

The description is highly specific and distinct, with comprehensive action coverage and a clear niche. Its main weakness is the narrow trigger-term surface — a single format name with no synonyms or natural phrasing variations.

Suggestions

Add natural trigger phrases beyond the format name, e.g. 'Use when creating a product-variant reveal video, a mosaic grid intro, or a tile-pop brand video.'

Include the file-format/output cue (e.g. '.mp4' or 'short-form vertical ad') so the description surfaces on output-oriented requests.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — pop in one tile at a time, grid clears, wordmark builds line-by-line, frame-stepped via Playwright, FFmpeg-encoded — giving comprehensive coverage of what the skill does.

5 / 5

Completeness

Clearly answers 'what' with detailed mechanics and includes an explicit 'Use for...' when clause, but the trigger is a single format name rather than a set of concrete trigger phrases.

4 / 5

Trigger Term Quality

The only natural trigger is 'Use for the mosaic-grid-reveal format'; it is specific and relevant but lacks synonyms or common variations a user might say.

3 / 5

Distinctiveness Conflict Risk

The unique 'mosaic-grid-reveal' format name carves out a clear niche with a distinct trigger and minimal conflict risk against other skills.

5 / 5

Total

17

/

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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