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edu-math-tutorial

数学题分步讲解视频的领域知识。适用场景:(1) 用户给出一道数学题并要求做讲解/ 解题视频;(2) 用户说"讲解这道题"、"生成解题视频"、"make a math tutorial"; (3) 需要中文数学教学视频,涉及方程、公式或几何图形。本 skill 只提供领域 知识(题目拆解、讲解节奏、旁白文案规范、版式与 KaTeX 排版风格);画面、 配音与成片一律用 Creator 原生 Element 与工具从源头构建。

Quality

85%

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SKILL.md
Quality
Evals
Security

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 dense, domain-specific, executable guidance — a fixed five-segment structure, timing formulas, narration reading conventions, exact overlay parameters, and a delegation workflow capped by an explicit self-check. The weaknesses are minor: some redundancy between §4 style rules and the §5 sceneStyle template, no worked example of a segment prompt, and an implicit rather than explicit error-recovery loop.

Suggestions

Add one compact worked example of a single segment — the motion_clip creation.prompt (with LaTeX, Chinese operation label, and attached narration text), the matching audio creation.script sentence, and its subtitle overlay span — to make the central artifact unambiguous and lift actionability.

After the §5 self-check step, state the recovery loop explicitly: which Element to fix and which checks to re-run when a check fails (e.g., 字幕与旁白不一致时改 overlay 的 text 后复核), completing the workflow's feedback cycle.

Consolidate §4 with §5's sceneStyle="edu_steps" template description: since the template enforces the layout skeleton and subtitle spacing, §4 can shrink to content-only prompt requirements, removing the current overlap and tension about whether prompts should describe visual style.

DimensionReasoningScore

Conciseness

Dense with non-obvious domain rules (语速约 4.5 字/秒, 单句不超过 25 字, x=0.50 y=0.88 width=0.80 height=0.14) with zero padding about concepts Claude already knows. Not 5 because §4's hand-written visual style requirements overlap with §5's sceneStyle="edu_steps" template description ("不需要描述视觉风格"), which could be consolidated; not 3 since nearly every token carries skill-specific rules.

4 / 5

Actionability

Highly concrete for an instruction-only skill: element types (motion_clip/audio/overlay), field names (creation.prompt, creation.script, text), fixed五段式 durations, exact subtitle coordinates, and exact parameters captionStyle="uniform" and sceneStyle="edu_steps" with a named delegation target (ai_editing_director 到 timeline:<timelineId>). Not 5 because there is no worked example of a segment prompt or task book, and TTS/compose steps defer to unnamed "既有 compose 流程"; far above 3 since the guidance is specific and directly executable rather than pseudocode.

4 / 5

Workflow Clarity

§5 lays out a clear four-step sequence (拆解规划 → 委派创建 → 确定性合成 → 自查) ending in an explicit self-check checklist (公式推导正确、标注全中文且与旁白一致、每句旁白有字幕且不重叠、样式一致、时长覆盖). Not 5 because the error-recovery loop after the check (fix which element and re-verify) is left implicit; not 3 since the sequence is complete and the validation checklist is explicit.

4 / 5

Progressive Disclosure

Well-organized into five numbered sections with clean internal cross-references (第 1–2 节, 第 5 节), a timing table, and no external file references — consistent with the actual bundle, which contains no references/scripts/assets directories. Not 5 because at ~90 lines the detailed §4 style specification is inlined where a one-level-deep reference file could carry it, exceeding the under-50-line simple-skill case; not 3 since structure and navigation are good and nothing is buried.

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.

The description explicitly states both what the skill provides (four named domain-knowledge areas) and when to use it (three concrete scenarios with quoted trigger phrases), and it carves out a distinct niche with an explicit scope boundary. It is specific, natural-sounding, and poses minimal conflict risk with adjacent video/creative skills.

DimensionReasoningScore

Specificity

Names the domain (数学题分步讲解视频) and lists four concrete capability areas — 题目拆解、讲解节奏、旁白文案规范、版式与 KaTeX 排版风格 — plus an explicit scope boundary (画面、配音与成片一律用 Creator 原生 Element 与工具从源头构建). Not 5 because it enumerates knowledge areas rather than a comprehensive list of discrete actions; well above 3 given the breadth of specific items and the boundary statement.

4 / 5

Completeness

Explicitly answers both what ("数学题分步讲解视频的领域知识... 只提供领域知识(题目拆解、讲解节奏、旁白文案规范、版式与 KaTeX 排版风格)") and when ("适用场景:(1)...(2)...(3)...") with concrete quoted trigger phrases — matching the anchor-5 example structure. Not 4 because the when-clause is explicit with literal trigger phrases rather than merely present or generic.

5 / 5

Trigger Term Quality

Quotes natural phrases users would actually say — "讲解这道题", "生成解题视频", "make a math tutorial" — and scenario (3) adds topical keywords (方程、公式、几何图形、中文数学教学视频). A few natural synonyms (讲题、做题、step-by-step) are missing, so it falls just short of the comprehensive-synonym coverage of anchor 5; it clearly exceeds the 'some relevant keywords' level of 3.

4 / 5

Distinctiveness Conflict Risk

Occupies a clear niche (Chinese step-by-step math tutorial videos) with distinct triggers, and the explicit disclaimer "本 skill 只提供领域知识" while delegating rendering/voiceover to Creator-native tools sharply separates it from general video-creation skills. Conflict risk is minimal, matching anchor 5 rather than the minor-overlap profile of anchor 4.

5 / 5

Total

18

/

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.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

agentscope-ai/QwenPaw

Path

plugins/apps/qwenpaw-creator/backend/skills/edu-math-tutorial/SKILL.md

Reviewed

Table of Contents

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