mcpbeat Sign in

Self Media Content Brief Agent Skill

为单篇或多平台自媒体创作澄清需求并生成可确认的创作简报。用于用户只给一句话选题、一个链接、一份素材、一个产品或模糊创作要求,需要确认目标受众、内容目标、核心判断、角度、深度、调性、证据、禁区和平台差异时。纯数据分析、已确认方向后的改稿和细节微调不使用此 Skill。

666 tokens
context cost
the whole folder, loaded on every use
2
files
instructions only
0
copies elsewhere
how many repositories repackaged it
343
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/yanhua1010/self-media-content-workflow --skill self-media-content-brief

The instruction itself

as written by the author

创作简报

原则

  • 先查现有上下文和用户提供的素材,再提问。
  • 只问答案会改变创作方向的问题,最多 3 个。
  • 用户可以跳过问题并采用合理默认值。
  • 不把用户已明确的信息换一种说法再问一次。
  • 简报要让用户能快速确认,不写成长篇提案。

需要确认的信息

按影响大小检查:

  • 账号定位和目标受众。
  • 内容目标:涨粉、互动、建立信任、转化或其他。
  • 一句话核心判断或希望读者记住的结果。
  • 内容来源和可验证证据。
  • 平台、形态、深度、篇幅或视频时长。
  • 调性、参考内容和不能写的内容。
  • 截止时间和是否包含商业合作。

提问路由

| 场景 | 优先问题 |

|---|---|

| 公众号 | 目标读者、内容目标、深度、核心角度 |

| 小红书 | 受众身份、搜索问题、图文或视频、真实证据 |

| X | 想验证的判断、受众、短帖或线程、唯一行动 |

| 视频号或抖音 | 时长、出镜方式、钩子方向、可用画面 |

| 多平台 | 主平台、各平台承担的任务、可投入时间 |

缺少信息但可以从素材、项目文件或公开来源得到时,先查找,不反问用户。

输出创作简报

使用以下结构:

## 创作简报

- 账号定位:
- 目标受众:
- 内容目标:
- 主平台:
- 扩展平台:
- 内容形态:
- 一句话核心判断:
- 准备使用的证据:
- 读者收益:
- 深度与调性:
- 明确不写:
- 各平台角度:
- 截止时间:

列出使用的默认值。给出简报后停下,等待用户确认或修改。方向未确认前不要写完整正文。

交棒条件

用户确认后:

  • 需要补热点、竞品或事实时,交给 self-media-trend-radar
  • 写图文或平台文案时,交给 self-media-platform-copywriting
  • 写视频时,交给 self-media-short-video

Other skills for the same job

different authors, same section of the catalogue
XLSX
by anthropics
vendor ×15

Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas

5k tokens scripts
XLSX
by w95
×7

Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like \"the xlsx in my downloads\") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.

3k tokens
Raffle Winner Picker
by frostant
×5

Picks random winners from lists, spreadsheets, or Google Sheets for giveaways, raffles, and contests. Ensures fair, unbiased selection with transparency.

949 tokens
Fda Database
by christophacham
×4

Query openFDA API for drugs, devices, adverse events, recalls, regulatory submissions (510k, PMA), substance identification (UNII), for FDA regulatory data analysis and safety research.

32k tokens scripts
Matlab
by christophacham
×4

MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing. Use when writing MATLAB/Octave scripts for linear algebra, signal processing, image processing, differential equations, optimization, statistics, or creating scientific visualizations. Also use when the user needs help with MATLAB syntax, functions, or wants to convert between MATLAB and Python code. Scripts can be executed with MATLAB or the open-source GNU Octave interpreter.

25k tokens
Umap Learn
by ComeOnOliver
×4

UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.

14k tokens
D3 Viz
by chrisvoncsefalvay
×3

Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment.

20k tokens
Alphafold Database
by christophacham
×3

Access AlphaFold 200M+ AI-predicted protein structures. Retrieve structures by UniProt ID, download PDB/mmCIF files, analyze confidence metrics (pLDDT, PAE), for drug discovery and structural biology.

7k tokens

How to use it

Copy the folder

Take yanhua1010/self-media-content-brief from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.