Agent skill

Knowledge Curation Skill

by Supreme-Ultimate in Supreme-Ultimate/novel-to-script-team

知识收编技能。将 sources 中知识去重、路由、吸收进 team 内部 references 与 knowledge。

MITAuto-check passedMedia & Creative

Install Knowledge Curation Skill

skills CLI
$ npx skills add Supreme-Ultimate/novel-to-script-team --skill knowledge-curation-skill -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Supreme-Ultimate/novel-to-script-team knowledge-curation-skill --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Supreme-Ultimate/novel-to-script-team.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/knowledge-curation-skill .claude/skills/knowledge-curation-skill && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
knowledge-curation-skill
GitHub stars
175
Token cost
~1.1k tokens
SKILL.md length
235 words
Files
1
Skills in repo
17
Repo updated
First seen
Licence
MIT

At a glance

知识收编技能。将 sources 中知识去重、路由、吸收进 team 内部 references 与 knowledge。

  • Works in 9 steps: :扫描待处理目录 → :逐个分析文件 → :知识路由分析 → …
  • Media & Creative work in your project
  • SKILL.md covers 必读, 执行模式, 输出 and 成功标准, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Knowledge Curation Skill is an agent skill from Supreme-Ultimate/novel-to-script-team. 知识收编技能。将 sources 中知识去重、路由、吸收进 team 内部 references 与 knowledge。

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Media & Creative. The repository describes itself as: 完整的多 Agent 多 Skill 小说改编影视流水线系统。 The licence is MIT.

When your agent uses it

  • Media & Creative work in your project

Example prompts

  • “/knowledge-curation-skill”

Workflow steps

9 steps, taken from the step headings in SKILL.md.

  1. :扫描待处理目录
  2. :逐个分析文件
  3. :知识路由分析
  4. 5:批量检查点(每 15 个文件)
  5. :执行集成
  6. :记录集成信息(分区存储)
  7. :移动已处理文件
  8. :输出收编报告
  9. :健康检查

What it can do on your machine

Read from SKILL.md and the folder at commit 117dceb. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown and bash).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Knowledge Curation Skill loads about 1.1k tokens when it runs. Until then it costs about 22 tokens; SKILL.md has 235 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~22
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Supreme-Ultimate/novel-to-script-team at commit 117dceb, republished under its MIT licence (© Supreme-Ultimate). 235 words, ~1,114 tokens.

Download SKILL.mdSave it as .claude/skills/knowledge-curation-skill/SKILL.md (or your agent's skills folder).
name
knowledge-curation-skill
description
知识收编技能。将 sources 中知识去重、路由、吸收进 team 内部 references 与 knowledge。

知识收编技能

必读

  1. ../../references/index.md
  2. ../../references/07-knowledge-curation.md
  3. ../../knowledge/canon-map.md

执行模式

模式1:标准收编(~ingest)

扫描 sources/ 目录,执行知识整合。

模式2:批量收编待处理知识(~ingest-pending)

触发条件:收到 ~ingest-pending 指令

执行流程:

Step 1:扫描待处理目录
bash
ls -la ./pending-knowledge/
  • 列出所有待处理文件
  • 识别文件类型(.txt, .md, 目录等)
Step 2:逐个分析文件

对每个文件执行:

  1. 读取文件内容
  2. 提取核心知识点(3-10个)
  3. 收编前强制5问(必须明确回答,否则拒绝收编):
    • Q1:哪个 agent 会用到这个知识?(必须指定具体 agent 名称,如 script-writer、storyboard-artist)
    • Q2:在哪个阶段会用到?(必须指定具体工作流阶段,如 ~write、~storyboard-seedance)
    • Q3:现有知识库是否已覆盖?(如已覆盖且无明显增量,拒绝收编)。必须执行 grep -rn "关键概念1\|关键概念2" references/*.md,记录命中文件:行号:摘要。未执行 grep = 自动拒绝
    • Q4:目标文件行数是否安全?(执行 wc -l <目标文件>,超 800 行 [WARNING],超 1200 行 [OVERSIZED] 禁止追加)
    • Q5:是否存在多文件命中?(执行 grep -l "核心概念" references/*.md,命中 2+ 文件必须选择主文件并说明理由)
  4. 判断知识类型:
    • 方法论(归属 references/)
    • 执行规则(归属 skills/)
    • 案例示例(归属 sources/)
    • 拒绝收编(无法明确使用场景)
分级示例参考

A级(references/ 核心区):

  • ✅ 「节奏呼吸感四步法」→ ref/16(≥2 agent 用,高频)
  • ✅ 「共情四步法」→ ref/14(情绪设计核心)
  • ❌ 「70个女频梗库」→ 太具体,应为 C 级

B级(references/ 分镜区):

  • ✅ 「Seedance 景别运镜组合」→ ref/11
  • ✅ 「Beat Board 九宫格方法」→ ref/09

C级(sources/):

  • ✅ 「韩国编剧案例分析」→ sources/screenwriting-methodology/
  • ✅ 「标题起名30公式」→ sources/screenwriting-methodology/

D级(references/ 进阶区):

  • ✅ 「色彩心理学补充」→ ref/15
  • ✅ 「光影叙事新技法」→ ref/17

拒绝:

  • ❌ AI 写作 prompt(与工作流无关)
  • ❌ 行业报告/职业规划(无 agent 使用场景)
  • ❌ 纯理论无可执行规则
Step 3:知识路由分析

为每个知识点生成路由表:

markdown
| 知识点 | 归属位置 | 集成方式 | 优先级 | 理由 |
|--------|---------|---------|--------|------|
| ... | references/XX.md | 新增/补充/替换 | A/B/C | ... |
Step 3.5:批量检查点(每 15 个文件)

每处理 15 个文件后输出中间报告:

markdown
### 批量检查点 #N

**本批文件**:[文件列表]
**VERIFIED**:X 个
**FAILED**:Y 个
**累计进度**:已处理 M / 总计 T

**暂停条件检查**:
- [ ] FAILED >= 3 → 暂停并报告
- [ ] 目标文件 OVERSIZED → 暂停并报告
- [ ] 主题冲突 → 暂停并报告
Step 4:执行集成
  • 使用 Edit 工具更新对应文件
  • 遵循"补充优先、替换慎重"原则
  • 保持文档结构一致性
  • 每次 Edit 后立即执行 grep -n "唯一短语" <文件> 确认写入
  • 验证成功输出:[VERIFIED] Edit <文件>
  • 验证失败重试一次,仍失败标记 [FAILED] Edit <文件> <原因>
Step 5:记录集成信息(分区存储)

月度详情文件 knowledge/absorption-map-YYYY-MM.md:

markdown
## YYYY-MM-DD:批量收编 pending-knowledge

**来源文件**:
- pending-knowledge/1.txt
- pending-knowledge/2.txt
- ...

**集成位置**:
- references/XX.md:新增YY章节
- skills/ZZ/SKILL.md:补充AA规则
- ...

**集成方式**:补充/新增/替换
**优先级**:A/B/C级

索引文件 knowledge/absorption-map-index.md:

  • 仅追加一行摘要:| YYYY-MM-DD | N个文件 | A级×M, B级×N, C级×P | 详见 absorption-map-YYYY-MM.md |
  • 更新统计:总收编数、本月收编数、拒绝数
Step 6:移动已处理文件
bash
# 创建日期目录
mkdir -p ./sources/pending-ingested/YYYY-MM-DD/
mkdir -p ./sources/pending-ingested/YYYY-MM-DD/rejected/

# 移动成功收编的文件
mv ./pending-knowledge/[文件名] ./sources/pending-ingested/YYYY-MM-DD/

# 移动拒绝收编的文件
mv ./pending-knowledge/[文件名] ./sources/pending-ingested/YYYY-MM-DD/rejected/

移动规则:

  • ✅ 成功收编:移动到 sources/pending-ingested/[日期]/
  • ❌ 拒绝收编:移动到 sources/pending-ingested/[日期]/rejected/,并在报告中说明原因
  • 📁 子目录:整体移动,保持结构
Step 7:输出收编报告
markdown
## 批量收编报告

### 处理统计
- 总文件数:X
- 成功收编:Y
- 拒绝收编:Z
- 已移动文件:X(成功Y + 拒绝Z)

### 成功收编列表
1. [文件名] → [集成位置] → 已移动到 sources/pending-ingested/YYYY-MM-DD/
   - 使用 agent:[agent名称]
   - 使用阶段:[工作流阶段]
2. ...

### 拒绝收编列表
1. [文件名]:[拒绝原因] → 已移动到 sources/pending-ingested/YYYY-MM-DD/rejected/
   - 原因示例:无法明确使用 agent / 与现有知识重复 / 与工作流无关
2. ...

### 知识集成摘要
- 新增章节:X个
- 补充内容:Y处
- 替换内容:Z处
Step 8:健康检查

收编报告末尾附加健康报告:

markdown
### 健康检查报告

| 文件 | 行数 | 状态 | 建议 |
|------|------|------|------|
| references/XX.md | NNN | OK/WARNING/OVERSIZED | — / 评估拆分 / 必须拆分 |

### 重叠检测
- grep -l "核心概念A" references/*.md → [命中文件列表]
- 如命中 2+ 文件,标注需要归属确认

输出

  1. ../../knowledge/source-registry.md
  2. ../../knowledge/absorption-map-index.md
  3. ../../knowledge/canon-map.md
  4. 批量收编报告(输出到终端)

成功标准

  1. 新增来源已注册
  2. 每个来源都有归属 skill
  3. 吸收结论可追溯
  4. 批量收编模式:所有文件已移动(成功收编 → sources/pending-ingested/[日期]/,拒绝收编 → sources/pending-ingested/[日期]/rejected/)
  5. 收编前强制5问:每个文件都明确回答了使用 agent、使用阶段、是否重复、目标文件行数、多文件命中
  6. 执行验证:每个 Edit/mv 操作有 [VERIFIED] 标记
  7. 5问完整:每个文件的5问记录完整,Q3 含 grep 证据
  8. 健康检查:报告末尾包含健康检查报告
  9. 零 FAILED:所有操作 VERIFIED,或 FAILED 已说明原因并标记

注意事项

冲突处理
  • 如果新知识与现有知识冲突,标注为"需人工判断"
  • 不要自动替换现有的核心规则
  • 优先补充而非替换
文件移动安全
  • 移动前确认文件已成功集成
  • 保留原文件名,便于追溯
  • 使用日期目录分组,便于管理
质量控制
  • 只收编可执行的知识(能执行 > 能解释)
  • 只收编可验证的知识(能验证 > 能感受)
  • 拒绝一次性灵感,只收编可复用的规则

© Supreme-Ultimate, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/knowledge-curation-skill of Supreme-Ultimate/novel-to-script-team.

Open the folder on GitHubat commit 117dceb

Compare with similar skills

Knowledge Curation Skill next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Knowledge Curation Skill compared with similar skills
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Anthropic Brand Stylinganthropics/skills180k30 repos~559Automated safety check: PassApache-2.0
Native Subtitle Quote Imagechengyi-ai/native-subtitle-quote-image2.2k2 repos~1.8kAutomated safety check: PassMIT
MoneyPrinterTurbo Video Generatorharry0703/MoneyPrinterTurbo129k—~2.1kAutomated safety check: WarnMIT

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Questions about Knowledge Curation Skill

What does Knowledge Curation Skill do?

知识收编技能。将 sources 中知识去重、路由、吸收进 team 内部 references 与 knowledge。. Knowledge Curation Skill is an agent skill from Supreme-Ultimate/novel-to-script-team.

When should I use Knowledge Curation Skill?

Knowledge Curation Skill fits situations like: media & Creative work in your project.

How do I install Knowledge Curation Skill in Claude Code?

Run `npx skills add Supreme-Ultimate/novel-to-script-team --skill knowledge-curation-skill -a claude-code`. Or copy the skill folder (skills/knowledge-curation-skill in Supreme-Ultimate/novel-to-script-team) into .claude/skills/knowledge-curation-skill in your project. Claude Code loads it when a task matches its description.

How do I install Knowledge Curation Skill in Codex?

Run `npx skills add Supreme-Ultimate/novel-to-script-team --skill knowledge-curation-skill -a codex`. Or copy the skill folder (skills/knowledge-curation-skill in Supreme-Ultimate/novel-to-script-team) into .agents/skills/knowledge-curation-skill in your project. Codex loads it when a task matches its description.

Can I use Knowledge Curation Skill in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Supreme-Ultimate/novel-to-script-team --skill knowledge-curation-skill -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/knowledge-curation-skill, .gemini/skills/knowledge-curation-skill, .github/skills/knowledge-curation-skill and .opencode/skills/knowledge-curation-skill in your project.

What does Knowledge Curation Skill need to run?

SKILL.md names no scripts, command-line tools or credentials: Knowledge Curation Skill is instructions for the agent only.

Does Knowledge Curation Skill access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Knowledge Curation Skill safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Knowledge Curation Skill use?

Knowledge Curation Skill is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Knowledge Curation Skill use?

About 1.1k tokens (SKILL.md is roughly 4.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Knowledge Curation Skill?

Skills that share tags, products or a category with Knowledge Curation Skill: Guizang Social Cards (op7418/guizang-social-card-skill, 7.4k stars), Weekly Changelog Video (heygen-com/hyperframes, 59k stars), Anthropic Brand Styling (anthropics/skills, 180k stars) and Native Subtitle Quote Image (chengyi-ai/native-subtitle-quote-image, 2.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Knowledge Curation Skill?

Supreme-Ultimate (a GitHub organization) maintains it in Supreme-Ultimate/novel-to-script-team, which has 175 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on May 2, 2026.

Source: Supreme-Ultimate/novel-to-script-team on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.