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taste

A creative-direction (taste) layer for music videos and short-form edits in the angelcore / cloud-trance / hyperpop visual family. Distills a named-genre aesthetic vocabulary, a mood + color + light system, and a beat-synced editing grammar, then chains ECC's video skills (video-editing, fal-ai-media, remotion-video-creation, motion-*, content-engine) into one production pipeline. Use when the work is not just making a video function but making it feel intentional, when building a music video, a fancam/edit, a moodboard-driven reel, or when choosing a coherent visual direction for AI-generated b-roll.

72

Quality

89%

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SKILL.md
Quality
Evals
Security

Quality

Content

86%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 rich, opinionated, highly actionable skill body with executable code, a clear pipeline, and a well-structured reference split. Main improvement is adding an explicit validation/checkpoint for the cutting and concat stages and trimming the rhetorical intro prose.

Suggestions

Add an explicit verify step to the pipeline (e.g. 'after concat, probe verse.mp4 for correct duration and cut-on-beat alignment before composing') to close the workflow_clarity validation gap.

Trim the editorial intro and Core Thesis prose to the essential rules to lift conciseness toward 5.

Surface a couple of body-only trigger synonyms (lyric video, visualizer) into the description for fuller trigger coverage.

DimensionReasoningScore

Conciseness

Largely lean and domain-specific (palette hex codes, genre vocab, grammar) without re-explaining basics Claude knows, but the intro/Core Thesis prose and editorial flourishes ('Taste is a point of view, not a menu') could be trimmed.

4 / 5

Actionability

Fully executable guidance throughout — copy-paste FFmpeg recipes, a runnable Remotion TSX skeleton, beat-math formulas, and ready-to-use fal.ai prompt presets covering the common cases.

5 / 5

Workflow Clarity

The 0–8 pipeline is clearly sequenced with a per-step skill table, and 'generate 10, keep 2' acts as the batch-generation selection gate; however there is no explicit validate→fix→retry feedback loop for the edit/concat stages.

4 / 5

Progressive Disclosure

The body serves as the actionable overview and splits the full catalog to a single, clearly signaled one-level-deep reference ('The companion file references/genre-taxonomy.md holds the full named-genre catalog'), which exists in the bundle.

5 / 5

Total

18

/

20

Passed

Description

92%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 well-crafted description: concrete capabilities, explicit 'Use when' triggers with natural keywords, and a distinctive niche. Minor gap is the omission of a few common synonyms (lyric video, visualizer) that appear only in the body.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'Distills a named-genre aesthetic vocabulary, a mood + color + light system, and a beat-synced editing grammar, then chains ECC's video skills ... into one production pipeline' — giving comprehensive coverage of what the skill does.

5 / 5

Completeness

Explicitly answers both what ('Distills ... then chains ECC's video skills ... into one production pipeline') and when ('Use when ... building a music video, a fancam/edit, a moodboard-driven reel ...') with concrete trigger phrases.

5 / 5

Trigger Term Quality

Strong natural trigger coverage ('music video, a fancam/edit, a moodboard-driven reel', 'AI-generated b-roll', plus genre names 'angelcore / cloud-trance / hyperpop'), but a few synonyms users might say (lyric video, visualizer) are absent.

4 / 5

Distinctiveness Conflict Risk

A clear niche — the taste/creative-direction layer for the angelcore/cloud-trance/hyperpop family sitting atop named ECC video skills — with distinct triggers and minimal overlap risk.

5 / 5

Total

19

/

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
affaan-m/ECC
Reviewed

Table of Contents

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