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anukar-social-draft阿努卡社会草案

Agent Skill

anukar-social-draft 用于整理文档、README、Markdown 和说明材料,适合在 OpenClaw 中需要把零散信息整理成结构清晰的文档时使用。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。

总安装

8,654

周安装

357

GitHub Stars

公开资料未说明

下载量

2,827
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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:anukar-social-draft(阿努卡社会草案)
来源仓库:https://github.com/tarasinghrajput/anukar-social-draft
安装命令:
openclaw skills install anukar-social-draft
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install anukar-social-draft

简介

anukar-social-draft 快速起草 Twitter 与 LinkedIn 帖子,适配公告、成就发布等场景。

  • 适用于 OpenClaw 中社交媒体内容创作,支持多平台文案优化建议。
  • 结合推文长度限制与平台特性生成合规草稿,提升发布效率。
  • 使用前无需特殊权限,但建议人工审阅语气与细节准确性。
  • 可多次迭代修改直至符合品牌调性与传播目标。

SKILL.md

name
social-draft
description
Draft Twitter and LinkedIn posts in one go. Use when user wants to create social media content for announcements, achievements, or updates. Combines tweet-writer and linkedin-writer skills for platform-optimized content.

Social Draft

Create platform-optimized Twitter and LinkedIn posts in one workflow.

Trigger

User asks to "draft a post", "write social content", or mentions both Twitter/LinkedIn.

Workflow

1. Gather Context

Ask the user for:

  • Topic - What's the announcement/achievement/update?
  • Key details - Numbers, results, specific outcomes
  • Tone - Casual, professional, or thought-leader
  • Goal - Engagement, awareness, leads?

2. Draft Twitter Post (X)

Hook Rules:

  • First 7 words must stop the scroll
  • Use specific numbers/results
  • Under 110 characters for single tweets
  • Signal thread with "🧵" if needed

Format Options:

  • Bold Statement: "Unpopular opinion: [take]"
  • Specific Result: "I [result] in [timeframe]. Here's how:"
  • List Promise: "[Number] things that [benefit]:"

Twitter Best Practices:

  • No external links in main tweet
  • No "Like and RT!" begging
  • End with question to drive replies
  • Post during peak hours (9-11 AM / 7-9 PM EST)

3. Draft LinkedIn Post

Hook Rules:

  • First 2 lines determine if they click "see more"
  • Bold or counterintuitive opening
  • Professional but conversational

Format Options:

  • Story Post: Hook → Story → Lesson → Question
  • Contrarian Take: Challenge conventional wisdom
  • List Post: Hook → Numbered list → Closer
  • Lesson Learned: "I used to think X. Now I think Z."

LinkedIn Best Practices:

  • Short paragraphs (1-2 sentences)
  • Line breaks between paragraphs
  • 3-5 hashtags at bottom only
  • No buzzwords: "synergy", "leverage", "ecosystem"
  • End with question to drive comments
  • Under 1300 characters

4. Deliver Both Drafts

Present both drafts clearly labeled:

## 🐦 Twitter Draft
[Single tweet or thread]

---

## 💼 LinkedIn Draft
[LinkedIn post with proper formatting]

Platform Differences

ElementTwitterLinkedIn
Max length280 chars3000 chars (1300 optimal)
ParagraphsN/A1-2 sentences max
Hashtags1-2 inline3-5 at bottom only
LinksIn reply, not mainOK in post
EmojisOK, don't overdoOne max
VoiceSnappy, punchyConversational, professional

Example

Input: "PMS Bug Addition skill success - automated bug reporting workflow"

Output:

🐦 Twitter Draft

Just shipped a new skill for my AI assistant. 🚀

Now I can say "PMS Bug addition" and it:
✅ Creates GitHub issue
✅ Updates task tracker
✅ Logs to daily sheet

All automated. Zero manual work.

What's your favorite automation hack?

💼 LinkedIn Draft

I built something that saves me 15 minutes per bug report.

The old workflow:
1. Create GitHub issue manually
2. Copy details to task tracker sheet
3. Log in daily update sheet
4. Repeat for every bug

The new workflow:
Say "PMS Bug addition" + details. Done.

My AI assistant (Anukar) handles:
- Issue creation with proper formatting
- Sheet updates across 2 different tabs
- Real-time dashboard logging

It's not about being lazy. It's about removing friction from repetitive tasks so I can focus on actual problem-solving.

What repetitive task would you automate if you could?

#Automation #Productivity #AI #OpenClaw

Quality Checklist

Before delivering, verify:

Twitter:

  • [ ] Hook stops scroll (bold/specific/curious)
  • [ ] Under 280 characters (110 optimal)
  • [ ] No external links in main tweet
  • [ ] Has engagement driver (question)

LinkedIn:

  • [ ] First 2 lines compelling
  • [ ] Short paragraphs with line breaks
  • [ ] No buzzwords or cringe phrases
  • [ ] Specific numbers/details included
  • [ ] Ends with question
  • [ ] 3-5 hashtags at bottom

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

84.51%
按下载量换算2,389

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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