muapi-character-story-video

Create a multi-part animated story video by first establishing a consistent character and then generating sequential scenes and animating them.

Quality

70%

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Securityby

Passed

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tessl review fix ./library/motion/character-story-video/SKILL.md

Quality

Content

75%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 delivers a well-structured, actionable multi-phase workflow with real commands, model IDs, and user-confirmation checkpoints, with only minor gaps in prompt completeness and error-recovery feedback loops.

Suggestions

Add an explicit validation/error-recovery step after each generation phase (e.g. check the predict result succeeded before proceeding, retry on failure) to support the batch scene/video operations.

Replace or clarify the bracketed prompt placeholders so the agent knows whether to draft scene descriptions itself or prompt the user for them.

Remove the bolded restatement of the description at the top of the body to avoid redundancy with the frontmatter.

Dimension	Reasoning	Score
Conciseness	The body is largely efficient — an inputs table, concrete phase prompts with real model IDs, and terse notes — with only minor trimmable redundancy such as the bolded restatement of the description.	4 / 5
Actionability	Concrete, executable guidance is present (muapi CLI commands, specific model IDs like nano-banana-pro and kling-v3.0-pro-image-to-video, a curl fallback), but scene prompts contain bracketed fill-in placeholders like '[Describe the beginning of {{story_premise}}]' that leave a small gap from fully copy-paste-ready.	4 / 5
Workflow Clarity	Phases A/B/C are clearly sequenced with explicit user-confirmation checkpoints ('ask the user to confirm the character design before proceeding', 'ask if they are ready to animate'), though error-recovery feedback loops for failed batch generations are absent, keeping it below 5.	4 / 5
Progressive Disclosure	The skill is self-contained with no bundle files and is organized into clear sections (Inputs, Steps, Trigger Keywords, Notes); structure is good and navigation is easy, though the inline repeated description and Notes block could be marginally tighter.	4 / 5
	Total	16 / 20 Passed

Description

66%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 clearly conveys what the skill does through concrete actions in a distinct niche, but it omits any explicit 'when to use' trigger guidance, which caps completeness and limits its routing precision.

Suggestions

Add a 'Use when...' clause naming concrete triggers (e.g. 'Use when creating animated story videos, sequel/multi-part videos, or sequential character-driven scenes').

Surface the existing trigger keywords ('sequel video', 'multi part video', 'sequential story') into the description so they aid skill selection.

Tighten the action list with slightly more specific verbs (e.g. 'generate a reference character image, produce sequential scene images, animate each into video clips').

Dimension	Reasoning	Score
Specificity	Names the domain (animated story video) and lists several concrete actions — 'establishing a consistent character', 'generating sequential scenes', and 'animating them' — though each is stated at a high level rather than with comprehensive detail.	4 / 5
Completeness	The 'what' is clear (create a multi-part animated story video via character + scenes + animation), but there is no 'Use when...' clause or equivalent explicit trigger guidance, which caps completeness at 3 per the rubric.	3 / 5
Trigger Term Quality	Natural phrases a user would say appear ('multi-part animated story video', 'character', 'sequential scenes', 'animating'), giving good coverage, though common synonyms like 'sequel video' or 'multi part video' are absent from the description itself.	4 / 5
Distinctiveness Conflict Risk	The niche is fairly distinct (animated story videos built around character consistency), with only minor overlap risk against general image/video generation skills; lack of explicit 'Use when' triggers keeps it just below 5.	4 / 5
	Total	15 / 20 Passed

Validation

93%

Warnings & errors only

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

Validation — 15 / 16 Passed

Validation for skill structure

Criteria	Description	Result
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	15 / 16 Passed

Repository: SamurAIGPT/Generative-Media-Skills
Path: library/motion/character-story-video/SKILL.md
Commit: 74df8cb

Reviewed: 6 days ago

Table of Contents

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