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manim-explainer

Build reusable Manim explainers for technical concepts, graphs, system diagrams, and product walkthroughs, then hand off to the wider video stack if needed. Use when the user wants a clean animated explainer rather than a generic talking-head script.

68

Quality

85%

Does it follow best practices?

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SecuritybySnyk

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SKILL.md
Quality
Evals
Security

Quality

Content

85%

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

A well-structured, actionable skill body with executable commands, a real starter asset, and an explicit render-quality feedback loop. Its main weakness is mild redundancy (tools listed twice, trigger duplicated) and a little niche padding that could be trimmed for token efficiency.

Suggestions

Remove the duplicate fragment-assembly/siliconflow-tts entries — keep them only in 'Related Skills' and reference them once.

Trim or reword 'self-improvement lineage that informed the skill' to avoid self-referential fluff that does not aid execution.

De-duplicate the trigger guidance between 'When to Activate' and the frontmatter description to save tokens.

DimensionReasoningScore

Conciseness

The body is mostly lean and does not explain concepts Claude already knows, but it could be tightened: fragment-assembly and siliconflow-tts are listed in both 'Tool Requirements' and 'Related Skills', 'When to Activate' partially duplicates the description's trigger, and 'self-improvement lineage that informed the skill' reads as unnecessary self-referential padding. This fits the 'mostly efficient but could be tightened' anchor rather than the every-token-earns-its-place anchor 3.

2 / 3

Actionability

Provides copy-paste-ready, executable commands ('./skills/manim-explainer/scripts/render-manim.sh <scene_file>.py <ClassName> low ./output') with low/medium/high quality flags and a concrete smoke-test example against a real asset, matching the fully-executable anchor 3.

3 / 3

Workflow Clarity

The 7-step Workflow is sequenced and pairs with an explicit validation loop in Render Conventions ('start with a low-quality smoke test render' and 'only push to higher quality after composition and timing are stable'), giving the render-then-tighten checkpoint feedback the anchor 3 requires; the operation is not destructive/batch so the cap-at-2 note does not apply.

3 / 3

Progressive Disclosure

The body is a clear overview with well-signaled, one-level-deep references to real bundle files — [assets/network_graph_scene.py](assets/network_graph_scene.py) in a 'Reusable Starter' section and the scripts/render-manim.sh path in executable commands — both verified to exist, and content is appropriately split rather than monolithic.

3 / 3

Total

11

/

12

Passed

Description

85%

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 specific, third-person description that clearly states both capability and an explicit use-when trigger, with a distinct niche. Trigger-term coverage is slightly narrow and could add common user phrasings like 'animation' or 'motion graphic'.

Suggestions

Broaden trigger terms to include natural user phrasings such as 'animation', 'motion graphics', or 'animated diagram' alongside 'animated explainer'.

Clarify the boundary with the 'wider video stack' skills so the description signals when NOT to activate this skill.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'Build reusable Manim explainers for technical concepts, graphs, system diagrams, and product walkthroughs, then hand off to the wider video stack' — matching the score-3 anchor of several specific concrete actions, not just a single named domain.

3 / 3

Completeness

Explicitly answers both what ('Build reusable Manim explainers...') and when ('Use when the user wants a clean animated explainer rather than a generic talking-head script'), satisfying the anchor for clearly answering both with an explicit trigger.

3 / 3

Trigger Term Quality

The 'Use when the user wants a clean animated explainer rather than a generic talking-head script' clause gives some natural terms ('animated explainer', 'talking-head'), but coverage is narrow and omits common variations a user would actually say ('animation', 'motion graphic', 'diagram video'). It is above the jargon-only anchor 1 but below the broad-coverage anchor 3.

2 / 3

Distinctiveness Conflict Risk

The Manim-animated-explainer niche is distinct ('clean animated explainer rather than a generic talking-head script'), making it unlikely to trigger for unrelated skills; the 'hand off to the wider video stack' framing scopes rather than blurs its boundary.

3 / 3

Total

11

/

12

Passed

Validation

87%

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

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

metadata_field

'metadata' should map string keys to string values

Warning

Total

14

/

16

Passed

Repository
TeamWiseFlow/xiaobei
Reviewed

Table of Contents

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