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Agent Skill · 研究检索

linkedin-post-generator(linkedin 帖子生成器)

linkedin-post-generator 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

linkedin-post-generator 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 21,621。

总安装 4,820周安装 195GitHub Stars 11下载 1,513核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:linkedin-post-generator(linkedin 帖子生成器)
来源仓库:https://github.com/casper-studios/casper-marketplace
仓库路径:skills/linkedin-post-generator
安装命令:
npx skills add https://github.com/casper-studios/casper-marketplace --skill linkedin-post-generator
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/casper-studios/casper-marketplace --skill linkedin-post-generator

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

linkedin-post-generator 从会议记录、Slack 对话等材料生成个性化 LinkedIn 推文。基于本地风格配置文件保持语言一致性,支持多源素材融合与话题标签优化。首次运行需完成个人风格整理与来源配置,后续调用自动应用既定模板。生成内容需经人工审核后方可发布,避免无意中传播未经核实的信息。

适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/linkedin-post-generator

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/casper-studios/casper-marketplace --skill link…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

linkedin-post-generator 怎么安装?

在终端执行 npx skills add https://github.com/casper-studios/casper-marketplace --skill linkedin-post-…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

linkedin-post-generator 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

linkedin-post-generator 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

linkedin-post-generator 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

linkedin-post-generator 用的人多吗?

公开数据是累计安装 4,820 次,近一周安装 195 次,下载 1,513 次,GitHub 11 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

linkedin-post-generator 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
linkedin-post-generator

linkedin 帖子生成器 · 本页

4,82011接触敏感数据未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

LinkedIn Post Generator

Generate LinkedIn posts from shared source material, written in each user's personal style.

How It Works

  1. Personal style profile — stored locally at ~/.config/casper/linkedin-style.md (never committed)
  2. Source config — stored locally at ~/.config/casper/linkedin-sources.md (never committed)
  3. Shared source material — meeting transcripts, Slack dumps, docs in source-material/
  4. Prompt template — extraction rules, voice guidelines, few-shot examples in references/prompt-template.md

First Run: Style Setup

Check if ~/.config/casper/linkedin-style.md exists.

If it does NOT exist, run the style setup flow:

  1. Say: "Welcome to the LinkedIn Post Generator! Before we start, I need to understand your writing style."
  2. Say: "Share 3 LinkedIn posts that match the style you want. You can either paste the post links (e.g. https://linkedin.com/posts/...) or paste the text directly."
  3. Wait for the user to provide 3 posts
  4. If the user provides LinkedIn URLs, fetch the post content using the apify-scrapers skill: python ${CLAUDE_PLUGIN_ROOT}/skills/apify-scrapers/scripts/scrape_linkedin_posts.py search "{url}" --max-posts 1 Extract the post text from the JSON output. If a URL fails to fetch, ask the user to paste that post's text instead.
  5. Analyze the posts for: tone, sentence length, vocabulary, formatting habits, hook style, CTA style, use of questions, paragraph length, overall energy
  6. Create ~/.config/casper/ directory if it doesn't exist
  7. Save the analysis to ~/.config/casper/linkedin-style.md using this format:
# LinkedIn Style Profile
Generated: [date]

## Tone
[analysis]

## Structure Patterns
[paragraph length, line breaks, formatting habits]

## Hook Style
[how they open posts]

## CTA / Closing Style
[how they end posts — questions, challenges, etc.]

## Vocabulary & Phrases
[distinctive phrases, word choices, energy level]

## Sample Posts
[the 3 original posts, for reference]
  1. Confirm: "Got it! Your style profile is saved. You can update it anytime with /casper:generate-linkedin-post --setup"

First Run: Source Material Check

After style setup completes (or if style exists but source-material/ is empty), check for source material:

  1. Check if source-material/ contains any .md files besides README.md
  2. If empty, guide the user:

- Say: "You don't have any source material yet. I need content to generate posts from — meeting transcripts, notes, Slack conversations, etc." - Present options: - "Connect integrations" — run the --setup-sources flow to configure Fireflies, Slack, or Google Drive auto-pulling - "Paste something manually" — run the --add-source flow to let the user paste a transcript, notes, or other content - Wait for user choice and proceed with the selected flow

  1. If source material exists, proceed with generation

Normal Run: Post Generation

If style config exists and source material is available, proceed with generation:

  1. Read ~/.config/casper/linkedin-style.md
  2. Read ALL files in ${CLAUDE_PLUGIN_ROOT}/skills/linkedin-post-generator/source-material/ (excluding README.md)
  3. Read ${CLAUDE_PLUGIN_ROOT}/skills/linkedin-post-generator/references/prompt-template.md
  4. Apply the confidentiality rules from the prompt template (no financials, no client names, no pipeline, no team member names)
  5. Generate 2-4 post options based on the source material, written in the user's personal style
  6. Present them in a clean, copy-paste-ready format

Flags

FlagBehavior
(none)Normal generation flow
--setupRe-run style setup, overwrite existing config
--setup-sourcesConfigure which Fireflies, Slack, and Drive sources to pull from
--refreshPull fresh source material from configured integrations, then generate
--view-styleRead and display ~/.config/casper/linkedin-style.md
--view-sourcesList and summarize all files in source-material/
--add-sourcePrompt user to paste new content, save as new .md file in source-material/

Flag Details

--setup-sources

Interactive setup for automatic source pulling. Read references/source-integrations.md for full details.

  1. Ask: "What's your work email address? This is used to filter transcripts to only meetings you attended."

- Save as user_email in the config

  1. Ask: "Which sources do you want to connect?" Present options:

- Fireflies.ai — pulls meeting transcripts (needs FIREFLIES_API_KEY env var) - Slack — pulls messages from channels (needs SLACK_BOT_TOKEN env var) - Google Drive — pulls docs and transcripts (needs OAuth setup via google-workspace skill)

  1. For each selected source, check if the required env var / credentials exist. If missing, provide setup instructions:

- Fireflies: "Set FIREFLIES_API_KEY in your environment. Get your API key from https://app.fireflies.ai/api" - Slack: "Set SLACK_BOT_TOKEN in your environment. Create a Slack app at https://api.slack.com/apps" - Google Drive: "Run the google-workspace skill setup to configure OAuth."

  1. For each enabled source, gather configuration:

- Fireflies: search terms (or leave empty for all recent) and days_back - Slack: which channels to pull from — list available channels if possible, otherwise ask the user - Google Drive: search terms, days_back

  1. Save to ~/.config/casper/linkedin-sources.md
  2. Confirm: "Source config saved. Run /casper:generate-linkedin-post --refresh to pull fresh content."

--refresh

Pull fresh source material from all configured integrations before generating posts. Read references/source-integrations.md for the full integration workflow.

Summary of the flow:

  1. Read ~/.config/casper/linkedin-sources.md — if missing, run --setup-sources first
  2. For each enabled source, call the existing Casper skill scripts:

- Fireflies: python ${CLAUDE_PLUGIN_ROOT}/skills/transcript-search/scripts/fireflies_transcript_search.py "{term}" --days-back {N} --content --json - After fetching, filter results to only transcripts where user_email (from source config) appears in the transcript's participants array - Slack: python ${CLAUDE_PLUGIN_ROOT}/skills/slack-automation/scripts/slack_search.py read "{channel}" --days {N} - Google Drive: python ${CLAUDE_PLUGIN_ROOT}/skills/google-workspace/scripts/gdrive_search.py files "{term}" --modified-days {N} --json

  1. Convert JSON output to clean markdown and save to source-material/:

- Fireflies: fireflies-{YYYY-MM-DD}-{title-slug}.md - Slack: slack-{channel}-{YYYY-MM-DD}.md - Google Drive: gdrive-{title-slug}-{YYYY-MM-DD}.md

  1. Proceed with normal generation

--view-style

Read ~/.config/casper/linkedin-style.md and display it. If it doesn't exist, say "No style profile found. Run /casper:generate-linkedin-post --setup to create one."

--view-sources

List all .md files in ${CLAUDE_PLUGIN_ROOT}/skills/linkedin-post-generator/source-material/ (excluding README.md). For each file, show the filename and a 1-line summary of its contents.

--add-source

  1. Ask: "Paste the content you want to add as source material (meeting transcript, Slack dump, notes, etc.)"
  2. Ask: "What should I name this source file? (e.g., team-standup-jan-2025)"
  3. Save as ${CLAUDE_PLUGIN_ROOT}/skills/linkedin-post-generator/source-material/[name].md
  4. Confirm: "Source material saved. It will be included in future post generation."

Reference Files

FileWhen to Read
references/prompt-template.mdEvery generation run — contains voice rules, few-shot examples, confidentiality rules
references/source-integrations.mdWhen running --refresh or --setup-sources — contains script paths, arguments, output conversion
references/style-setup.mdWhen running --setup — contains analysis framework for style profiling
source-material/*.mdEvery generation run — raw content to extract post ideas from

平台分布

Codex

35.63%
按下载量换算539

Claude

28.13%
按下载量换算426

Cursor

19.28%
按下载量换算292

Gemini CLI

9.59%
按下载量换算145

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

可疑

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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