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acestep

AI music generation with ACE-Step 1.5 — background music, vocal tracks, covers, stem extraction for video production. Use when generating music, soundtracks, jingles, or working with audio stems. Triggers include background music, soundtrack, jingle, music generation, stem extraction, cover, style transfer, or musical composition tasks.

74

Quality

91%

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SKILL.md
Quality
Evals
Security

Quality

Content

82%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.

Highly actionable content dominated by executable commands, tables, and worked examples, with clean sectioning. The main gaps are minor verbosity (long lyrics template, generic prompt principles) and a monolithic structure with no validation checkpoints that would lift workflow clarity and progressive disclosure to 5.

Suggestions

Trim the full lyrics block in 'Creating a Song' to a shorter representative excerpt, and condense generic prompt-engineering principles that restate knowledge Claude already has.

Add an explicit validation checkpoint to the generation workflow (e.g., verify the output file exists and duration matches --duration within 0.1s before using it in a video edit).

Move the Scene Presets table and detailed Prompt Engineering dimensions into a one-level-deep reference file (e.g., references/prompting.md) linked from SKILL.md to improve progressive disclosure.

DimensionReasoningScore

Conciseness

Mostly efficient with copy-paste commands and tables, but the full ~30-line lyrics block and somewhat generic prompt-engineering principles ('Specificity over vagueness', 'Avoid contradictions') could be trimmed. Not a 5 because some tokens restate general prompting knowledge.

4 / 5

Actionability

Fully executable, copy-paste-ready bash commands cover the common cases (basic generation, vocals, cover, stem extraction, presets, listing) plus a complete worked song example — matching the 5-anchor.

5 / 5

Workflow Clarity

Clear sequencing in 'Creating a Song' and the numbered Timing Workflow, but no explicit validation/checkpoint steps (e.g., verify output duration or file exists). Generation is non-destructive so the 3-cap does not apply, but missing checkpoints keep it at 4 rather than 5.

4 / 5

Progressive Disclosure

Well-organized with clear section headers and no nested references, but the ~260-line body is monolithic — the presets table and detailed prompt-engineering guidance could live in one-level-deep reference files. No bundle files exist, so structure alone is scored.

4 / 5

Total

17

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20

Passed

Description

100%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 strong, well-constructed description that clearly states capabilities, provides comprehensive natural trigger terms, and explicitly separates 'what' from 'when'. It uses third-person voice and avoids vague fluff.

DimensionReasoningScore

Specificity

Lists multiple concrete capabilities — 'background music, vocal tracks, covers, stem extraction for video production' — giving comprehensive coverage comparable to the 5-anchor's multi-action example.

5 / 5

Completeness

Explicitly answers both 'what' (AI music generation with ACE-Step 1.5, listing four capability areas) and 'when' ('Use when generating music, soundtracks, jingles... Triggers include...') with concrete trigger phrases.

5 / 5

Trigger Term Quality

Natural trigger phrases with synonyms are comprehensive: 'background music, soundtrack, jingle, music generation, stem extraction, cover, style transfer, or musical composition tasks' — terms a user would actually say.

5 / 5

Distinctiveness Conflict Risk

Occupies a clear niche (music/audio generation) with distinct, specific triggers (jingle, stem extraction, cover, style transfer) that minimize overlap with other skills.

5 / 5

Total

20

/

20

Passed

Validation

100%

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

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
calesthio/OpenMontage
Reviewed

Table of Contents

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