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.

Quality

81%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

Securityby

Passed

No findings from the security scan

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.

A well-organized, actionable skill body with concrete render commands, a real starter scene, and a sensible smoke-test-then-stabilize workflow. The main weakness is a command-name mismatch with the bundled render script and the absence of an explicit render-error feedback loop.

Suggestions

Reconcile the render command: the body invokes 'manim-explainer' but the bundle ships 'scripts/render-manim.sh' — either rename the script or document 'manim-explainer' as a wrapper and link to the script.

Add an explicit validation/recovery step to the Workflow (e.g. 'If the smoke test render fails or composition looks off, fix the scene and re-render low quality before pushing to high').

Trim redundancy between the 'Workflow' and 'Output Format' sections, which both enumerate storyboard/scene outline/render plan.

Dimension	Reasoning	Score
Conciseness	The body is lean with short bullet sections and assumes Manim knowledge, but the 'Output Format' section restates storyboard/scene outline already covered in the Workflow, a minor trim opportunity that keeps it just below the lean anchor 5.	4 / 5
Actionability	Concrete bash invocations (e.g. 'manim-explainer assets/network_graph_scene.py NetworkGraphExplainer low ./output') and a real, executable starter file give mostly copy-paste-ready guidance; the named command 'manim-explainer' does not match the bundled script 'render-manim.sh', a minor executable gap below anchor 5.	4 / 5
Workflow Clarity	The 7-step Workflow plus 'Render Conventions' (low-quality smoke test, only push to higher quality after composition and timing are stable) provide a clear sequence with a validation checkpoint, but there is no explicit error-recovery loop (fix-and-re-render), capping it below anchor 5.	4 / 5
Progressive Disclosure	Clear section headers and a well-signaled one-level reference to assets/network_graph_scene.py give good structure, but the bundled scripts/render-manim.sh is never referenced from the body (and the body invokes a different command), a minor organization gap below the well-split anchor 5.	4 / 5
	Total	16 / 20 Passed

Description

87%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-structured description that clearly states both capability and trigger conditions with natural user language. It carves a distinct niche against generic video skills; the only mild gap is breadth of concrete action verbs versus the top anchor.

Dimension	Reasoning	Score
Specificity	Build reusable Manim explainers for technical concepts, graphs, system diagrams, and product walkthroughs, then hand off to the wider video stack' lists several specific targets and two concrete actions (build, hand off), but not the comprehensive multi-action coverage of the anchor 5 example.	4 / 5
Completeness	It explicitly answers what ('Build reusable Manim explainers for technical concepts, graphs, system diagrams, and product walkthroughs') and when ('Use when the user wants a clean animated explainer rather than a generic talking-head script') with concrete trigger phrases, matching the anchor 5 example.	5 / 5
Trigger Term Quality	Natural user phrases like 'clean animated explainer', 'generic talking-head script', 'system diagrams', and 'product walkthroughs' give good keyword coverage, though a few common synonyms are missing relative to the comprehensive anchor 5.	4 / 5
Distinctiveness Conflict Risk	The Manim/animated-explainer niche with the 'rather than a generic talking-head script' contrast carve out a distinct trigger space with minimal overlap with adjacent video skills, fitting the anchor 5 'clear niche with distinct triggers'.	5 / 5
	Total	18 / 20 Passed

Validation

87%

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 — 14 / 16 Passed

Validation for skill structure

Criteria	Description	Result
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
Path: crews/content-producer/skills/manim-explainer/SKILL.md
Commit: 72fd07a

Reviewed: 16 days ago

Table of Contents

Discovery Implementation Validation

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.