Agent skill

Content Enrich

by chubbyguan in chubbyguan/chubbyskills

内容加工:给任意采集产物(转录稿 / 文章 / 笔记)自动补「摘要 + 要点 + 标签 + 价值判断」, 写进 frontmatter 并在正文顶部插入摘要块。是「加工层」通用能力,惠及仓库所有采集 skill。

MITAuto-check passedKnowledge Management

Install Content Enrich

skills CLI
$ npx skills add chubbyguan/chubbyskills --skill content-enrich -a claude-code

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

GitHub CLI
$ gh skill install chubbyguan/chubbyskills content-enrich --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/chubbyguan/chubbyskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/content-enrich .claude/skills/content-enrich && 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
content-enrich
GitHub stars
1.2k
Token cost
~369 tokens
SKILL.md length
47 words
Files
3 (incl. scripts)
Skills in repo
14
Repo updated
First seen
Licence
MIT

At a glance

内容加工:给任意采集产物(转录稿 / 文章 / 笔记)自动补「摘要 + 要点 + 标签 + 价值判断」, 写进 frontmatter 并在正文顶部插入摘要块。是「加工层」通用能力,惠及仓库所有采集 skill。

  • Knowledge Management work in your project
  • SKILL.md covers 环境要求, 使用方法, 产出 and 为什么有用, plus 2 more sections
  • Runs Python scripts from its folder; calls python; needs DEEPSEEK_API_KEY

What it does

Content Enrich is an agent skill from chubbyguan/chubbyskills. 内容加工:给任意采集产物(转录稿 / 文章 / 笔记)自动补「摘要 + 要点 + 标签 + 价值判断」, 写进 frontmatter 并在正文顶部插入摘要块。是「加工层」通用能力,惠及仓库所有采集 skill。

Its SKILL.md is about 370 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `scripts/enrich.py`).

It sits in Knowledge Management. It works with Obsidian. The repository describes itself as: 把中文全渠道内容(抖音 / B站 / 小红书 / 公众号 / X / 播客)采集进个人知识库的 14 个 AI Skill:图文存图、视频转文字稿、字幕优先免 GPU、RSS/YouTube 订阅调度与每日情报简报,附带知识库 MCP server。| Ingest Chinese content into your personal knowledge… The licence is MIT.

When your agent uses it

  • Knowledge Management work in your project

Example prompts

  • “/content-enrich”

Requirements

  • Python 3
  • A credential in DEEPSEEK_API_KEY

What it can do on your machine

Read from SKILL.md and the folder at commit 1b759b1. 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

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

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

  • Network

    Links to these hosts (documentation or services it may open):

    • platform.deepseek.com

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

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • DEEPSEEK_API_KEY

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

Context cost

Content Enrich loads about 369 tokens when it runs. Until then it costs about 30 tokens; SKILL.md has 47 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~30
When it runs · the whole SKILL.md, loaded when a task matches
~369

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); the scripts in this folder are not scanned.

SKILL.md

The full file from chubbyguan/chubbyskills at commit 1b759b1, republished under its MIT licence (© chubbyguan). 47 words, ~369 tokens.

Download SKILL.mdSave it as .claude/skills/content-enrich/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
content-enrich
description
内容加工:给任意采集产物(转录稿 / 文章 / 笔记)自动补「摘要 + 要点 + 标签 + 价值判断」, 写进 frontmatter 并在正文顶部插入摘要块。是「加工层」通用能力,惠及仓库所有采集 skill。
metadata.category
content
metadata.triggers
["给这篇笔记加摘要", "提炼要点和标签", "加工一下采集的内容", "批量给知识库补摘要"]
metadata.version
1.0.0
metadata.tags
["content", "enrich", "summary", "tagging", "knowledge-base"]

内容加工(Content Enrich)

采集进来的转录稿、文章往往是大段原始文本,没人愿意回头看。这个 skill 给任意采集产物 自动补上可快速消化的元信息——它是「加工层」的通用能力,配合仓库里所有采集 skill 使用。

环境要求

bash
# 零 pip 依赖(仅 Python 标准库)
export DEEPSEEK_API_KEY="your-api-key"   # 必需,用于提炼

使用方法

bash
python scripts/enrich.py 某篇笔记.md              # 就地增强单篇
python scripts/enrich.py ./vault/外部输入/         # 批量增强整个目录下的 .md
python scripts/enrich.py 某篇.md --output ./out    # 不改原文件,输出到 out/
python scripts/enrich.py 某篇.md --force           # 已加工过的重新加工

产出

在原 Markdown 上(原内容完整保留):

  • frontmatter 注入:summary(一句话总结)、domain(领域)、auto_tags(标签列表)、enriched: true
  • 正文顶部插入 ## 📝 摘要 区块:一句话 TL;DR、3-5 条要点、「值得深读?」判断、标签

幂等:默认跳过已加工(enriched: true)的文件,可 --force 重做。

为什么有用

  • 盘活采集产物:转录稿 / 文章一眼能看懂讲了啥、值不值得深读
  • 便于知识库聚合:auto_tags / domain 进 frontmatter,Obsidian Dataview 可直接按标签 / 领域聚合
  • 一处投入,惠及全部:抖音 / B站 / 小红书 / X / 公众号 …… 任何采集产物都能加工

衔接工作流

采集(任意 *-ingest / *-transcribe skill)
  → content-enrich(补摘要 + 要点 + 标签)
  → knowledge-base-management 入库(按 auto_tags / domain 聚合检索)

参考

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

Files

SKILL.md and 2 other files (scripts) in content-enrich of chubbyguan/chubbyskills.

  • SKILL.md
  • requirements.txt
  • scripts/enrich.py

Open the folder on GitHubat commit 1b759b1

Compare with similar skills

Content Enrich 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.

Content Enrich compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Content Enrich this skillchubbyguan/chubbyskills1.2k—~369Automated safety check: PassMIT
Granolaglebis/claude-skills390—~874Automated safety check: NotesMIT
Youtube Transcriptglebis/claude-skills390—~613Automated safety check: PassMIT
Obsidian Knowledge BuilderMichael-OvO/obsidian-knowledge-agent205—~917Automated safety check: PassMIT
Wiki NarrateAr9av/obsidian-wiki3.5k—~1.7kAutomated safety check: PassMIT
Wiki Ingestthoreinstein/gemini-obsidian102—~1.2kAutomated safety check: PassISC

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Works with

Questions about Content Enrich

What does Content Enrich do?

内容加工:给任意采集产物(转录稿 / 文章 / 笔记)自动补「摘要 + 要点 + 标签 + 价值判断」, 写进 frontmatter 并在正文顶部插入摘要块。是「加工层」通用能力,惠及仓库所有采集 skill。. Content Enrich is an agent skill from chubbyguan/chubbyskills.

When should I use Content Enrich?

Content Enrich fits situations like: knowledge Management work in your project.

How do I install Content Enrich in Claude Code?

Run `npx skills add chubbyguan/chubbyskills --skill content-enrich -a claude-code`. Or copy the skill folder (content-enrich in chubbyguan/chubbyskills) into .claude/skills/content-enrich in your project. Claude Code loads it when a task matches its description.

How do I install Content Enrich in Codex?

Run `npx skills add chubbyguan/chubbyskills --skill content-enrich -a codex`. Or copy the skill folder (content-enrich in chubbyguan/chubbyskills) into .agents/skills/content-enrich in your project. Codex loads it when a task matches its description.

Can I use Content Enrich 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 chubbyguan/chubbyskills --skill content-enrich -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/content-enrich, .gemini/skills/content-enrich, .github/skills/content-enrich and .opencode/skills/content-enrich in your project.

What does Content Enrich need to run?

Going by SKILL.md and its folder, Content Enrich needs Python for the scripts in its folder, the command-line tools its instructions call (python) and credentials named DEEPSEEK_API_KEY. Our summary lists: Python 3; A credential in DEEPSEEK_API_KEY.

Does Content Enrich access the network?

SKILL.md names 1 domain. As links in the text: platform.deepseek.com. This is read from the text; nothing was executed.

Is Content Enrich 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Content Enrich use?

Content Enrich 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 Content Enrich use?

About 369 tokens (SKILL.md is roughly 1.5k 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 Content Enrich?

Skills that share tags, products or a category with Content Enrich: Granola (glebis/claude-skills, 390 stars), Youtube Transcript (glebis/claude-skills, 390 stars), Obsidian Knowledge Builder (Michael-OvO/obsidian-knowledge-agent, 205 stars) and Wiki Narrate (Ar9av/obsidian-wiki, 3.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Content Enrich?

chubbyguan (a GitHub user) maintains it in chubbyguan/chubbyskills, which has 1,205 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on October 8, 2026.

Source: chubbyguan/chubbyskills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.