storyboard-coaching-skill

storyboard-coaching-skill is a skill for Claude Code, Codex from Supreme-Ultimate/novel-to-script-team. It costs 31 tokens per session (2,792 once invoked), scanned A, original, MIT.

A Chinese-language coaching workflow for reviewing storyboards, which are shot-by-shot plans for films or videos. It checks visual storytelling, camera choices, timing, continuity, and whether scenes can be filmed as described.

In plain words
What is it for?
Use it to review a storyboard in text or image form, identify issues with shots and scene logic, and receive practical exercises or revision suggestions.
Why use it?
It gives structured feedback on storyboard problems instead of leaving improvements to general advice. It can also provide daily exercises in a seven-week practice plan.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to review a storyboard in text or image form, identify issues with shots and scene logic, and receive practical exercises or revision suggestions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/supreme-ultimate/novel-to-script-team/storyboard-coaching-skill
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Supreme-Ultimate/novel-to-script-team --skill storyboard-coaching-skill
Clone the repo
git clone --depth 1 https://github.com/Supreme-Ultimate/novel-to-script-team

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for storyboard-coaching-skill

README.md
[![agentmods](https://agentmods.dev/badge/skills/supreme-ultimate/novel-to-script-team/storyboard-coaching-skill/github.svg)](https://agentmods.dev/skills/supreme-ultimate/novel-to-script-team/storyboard-coaching-skill)
Your own site
<a href="https://agentmods.dev/skills/supreme-ultimate/novel-to-script-team/storyboard-coaching-skill"><img src="https://agentmods.dev/badge/skills/supreme-ultimate/novel-to-script-team/storyboard-coaching-skill/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for storyboard-coaching-skill

Your own site · 80×15
<a href="https://agentmods.dev/skills/supreme-ultimate/novel-to-script-team/storyboard-coaching-skill"><img src="https://agentmods.dev/badge/skills/supreme-ultimate/novel-to-script-team/storyboard-coaching-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,792 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00031 $0.02792
Opus 5 $0.00015 $0.01396
Sonnet 5 $0.00006 $0.00558
Haiku 4.5 $0.00003 $0.00279

Measured 12d ago against content hash 7004a5c1ce98, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

storyboard-coaching-skill scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/storyboard-coaching-skill/SKILL.md · 313 lines

How it starts

The opening of the file, as written. The whole thing — 313 lines — stays where its author put it; the contents beside it link to each section on GitHub.

分镜教练技能

必读

  1. ../../references/08-camera-and-cinematography.md
  2. ../../references/09-storyboard-methodology.md
  3. ../../references/10a-action-dialogue-scenes.md
  4. ../../references/10b-atmosphere-fantasy.md
  5. ../../references/10c-suspense-montage.md

技能说明

分镜教练技能,用于:

  1. 审核用户创作的分镜作品
  2. 提供7周分镜练习计划的每日任务
  3. 给出具体、可执行的改进建议

执行模式

模式1:分镜审核

输入:用户提交的分镜作品(文本或图片)

审核维度

1. 格式规范检查
  • 是否包含:镜号|景别|运镜|时长|画面|台词/音效
  • 镜号是否连续编号
  • 时长是否标注(秒)
  • 画面内容是否可视化(无心理描写)
2. 景别选择检查
  • 环境/氛围 → 远景/全景+固定 ✓
  • 人物对话 → 中景/近景+正反打 ✓
  • 情绪/细节 → 特写+微推 ✓
  • 追逐/移动 → 跟镜头/移镜头 ✓
  • 景别是否符合叙事需求
3. 运镜合理性检查
  • 镜头运动是否有动机
  • 推镜头:聚焦、紧张、亲密 ✓
  • 拉镜头:揭示、疏离、结束感 ✓
  • 摇镜头:环顾、跟随水平运动 ✓
  • 跟镜头:跟随人物移动 ✓
  • 固定镜头:稳定、客观 ✓
4. 镜头衔接检查
  • 动作接动作(伸手→接东西)
  • 景别递进(全景→近景)
  • 视线匹配(看左→切左边画面)
  • 出入画(人走出→下镜走进)
  • 因果关系(摔倒→扶起来)
  • 正反打(A说话→B反应)
  • 是否有跳戏、断层
5. 时长控制检查
  • 对话1句 ≈ 2秒
  • 空镜/氛围 ≈ 3-5秒
  • 动作镜头 ≈ 1-3秒
  • 总时长是否合理
6. 叙事逻辑检查
  • 是否有起承转合
  • 信息传递是否清晰
  • 是否有冗余镜头
  • 是否符合"减法原则"(镜头越少越好)
7. 可拍性检查
  • 画面内容是否可视化
  • 是否避免心理描写
  • 是否避免抽象概念
  • 是否符合物理规律

输出格式

## 分镜审核报告

### 总体评价
- 评分:X/10
- 等级:优秀/良好/及格/需改进
- 总结:[一句话总结]

### 亮点
1. [具体亮点1]
2. [具体亮点2]

### 问题清单
| 镜号 | 问题类型 | 具体问题 | 修改建议 |
|------|---------|---------|---------|
| 3 | 景别选择 | 情绪高潮用了全景,无法突出表情 | 改为特写,聚焦人物面部 |
| 5-6 | 镜头衔接 | 景别跳跃过大(全景→特写) | 中间插入中景过渡 |

### 改进示例
**原版**:
镜3|全景|固定|3s|男主很伤心|无

**修改后**:
镜3|特写|微推|2s|男主眼眶泛红,手指攥紧衣角|(叹气)

### 下一步建议
1. [具体建议1]
2. [具体建议2]

模式2:练习指导

7周分镜练习计划

第1周:认识镜头——只练「景别+构图」

目标:看到画面立刻说出景别

每日任务(每天8格分镜,只画静态):

  • Day1:全景+中景(人物全身/半身)
  • Day2:近景+特写(胸口以上/局部)
  • Day3:俯拍+仰拍(各4格)
  • Day4:居中构图、对称构图
  • Day5:三分法、留白构图
  • Day6:复习:随机抽8个景别+构图组合
  • Day7:自由临摹1张影视截图,拆成8格景别

检查清单

  • 每格标注景别名称
  • 每格标注构图方式
  • 画面框清晰
  • 不需要画精细,火柴人+方框即可

第2周:运镜基础——只练「镜头怎么动」

目标:会写推/拉/摇/移/跟/固定

每日任务(每天6格运镜分镜):

  • Day1:固定镜头(不动)6格
  • Day2:推镜头(靠近)6格
  • Day3:拉镜头(远离)6格
  • Day4:左右摇镜头6格
  • Day5:上下摇+平移6格
  • Day6:跟拍(人物走→镜头跟着)6格
  • Day7:混合:固定/推/摇/跟各1-2格

Read the full file on GitHub · 313 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 313 lines · 31 tokens per session scan A 7004a5c1ce98

Subscribe to this mod's changes

storyboard-coaching-skill is a skill published in the GitHub repository Supreme-Ultimate/novel-to-script-team (167 stars, last pushed 4mo ago), licensed MIT. It adds 31 tokens to every session and 2,792 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

baoyu-comic

A creator for educational comics, including biographies and tutorials, that turns supplied content or topics into illustrated comic pages.

NousResearch/hermes-agent · 17 tokens

html-ppt-zhangzara-cartesian

An economics senior thesis on the employment effects of local minimum-wage increases — identification strategy, evidence, and limitations. Built as a decision-grade coursework defense deck for thesis committee.

nexu-io/open-design · 46 tokens

html-ppt-zhangzara-daisy-days

A customer-success workshop onboarding users to a project-management app — the first-value path and the habits that retain. Built as a decision-grade professional training deck for new customers, CS team.

nexu-io/open-design · 49 tokens

html-ppt-zhangzara-playful

A retail sales-floor training on consultative selling — the flow, the role-plays, and the daily habit that lifts conversion. Built as a decision-grade professional training deck for store associates, floor managers.

nexu-io/open-design · 52 tokens

html-ppt-zhangzara-retro-windows

An IT security-awareness training on spotting phishing — the tells, the drill, and what to do in the first 60 seconds. Built as a decision-grade professional training deck for all employees.

nexu-io/open-design · 51 tokens

sprite-animation

A pixel / sprite-style animated explainer slide — full-bleed cream stage, bold display year, animated pixel-art mascot (e.g. Hanafuda card, mushroom, or 8-bit console), kinetic Japanese display type, ticking timeline ribbon. Reads like a single frame of an educational motion video — looping CSS keyframes, no JS, ready…

nexu-io/open-design · 141 tokens