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Aunkar Social Draft

作者 Tara Singh Kharwad · GitHub ↗ · v1.0.0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install anukar-social-draft
功能描述
Draft Twitter and LinkedIn posts in one go. Use when user wants to create social media content for announcements, achievements, or updates. Combines tweet-wr...
使用说明 (SKILL.md)

\r \r

Social Draft\r

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

Trigger\r

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

Workflow\r

\r

1. Gather Context\r

Ask the user for:\r

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

2. Draft Twitter Post (X)\r

\r Hook Rules:\r

  • First 7 words must stop the scroll\r
  • Use specific numbers/results\r
  • Under 110 characters for single tweets\r
  • Signal thread with "🧵" if needed\r \r Format Options:\r
  • Bold Statement: "Unpopular opinion: [take]"\r
  • Specific Result: "I [result] in [timeframe]. Here's how:"\r
  • List Promise: "[Number] things that [benefit]:"\r \r Twitter Best Practices:\r
  • No external links in main tweet\r
  • No "Like and RT!" begging\r
  • End with question to drive replies\r
  • Post during peak hours (9-11 AM / 7-9 PM EST)\r \r

3. Draft LinkedIn Post\r

\r Hook Rules:\r

  • First 2 lines determine if they click "see more"\r
  • Bold or counterintuitive opening\r
  • Professional but conversational\r \r Format Options:\r
  • Story Post: Hook → Story → Lesson → Question\r
  • Contrarian Take: Challenge conventional wisdom\r
  • List Post: Hook → Numbered list → Closer\r
  • Lesson Learned: "I used to think X. Now I think Z."\r \r LinkedIn Best Practices:\r
  • Short paragraphs (1-2 sentences)\r
  • Line breaks between paragraphs\r
  • 3-5 hashtags at bottom only\r
  • No buzzwords: "synergy", "leverage", "ecosystem"\r
  • End with question to drive comments\r
  • Under 1300 characters\r \r

4. Deliver Both Drafts\r

\r Present both drafts clearly labeled:\r \r

## 🐦 Twitter Draft\r
[Single tweet or thread]\r
\r
---\r
\r
## 💼 LinkedIn Draft\r
[LinkedIn post with proper formatting]\r
```\r
\r
## Platform Differences\r
\r
| Element | Twitter | LinkedIn |\r
|---------|---------|----------|\r
| Max length | 280 chars | 3000 chars (1300 optimal) |\r
| Paragraphs | N/A | 1-2 sentences max |\r
| Hashtags | 1-2 inline | 3-5 at bottom only |\r
| Links | In reply, not main | OK in post |\r
| Emojis | OK, don't overdo | One max |\r
| Voice | Snappy, punchy | Conversational, professional |\r
\r
## Example\r
\r
**Input:** "PMS Bug Addition skill success - automated bug reporting workflow"\r
\r
**Output:**\r
\r
### 🐦 Twitter Draft\r
```\r
Just shipped a new skill for my AI assistant. 🚀\r
\r
Now I can say "PMS Bug addition" and it:\r
✅ Creates GitHub issue\r
✅ Updates task tracker\r
✅ Logs to daily sheet\r
\r
All automated. Zero manual work.\r
\r
What's your favorite automation hack?\r
```\r
\r
### 💼 LinkedIn Draft\r
```\r
I built something that saves me 15 minutes per bug report.\r
\r
The old workflow:\r
1. Create GitHub issue manually\r
2. Copy details to task tracker sheet\r
3. Log in daily update sheet\r
4. Repeat for every bug\r
\r
The new workflow:\r
Say "PMS Bug addition" + details. Done.\r
\r
My AI assistant (Anukar) handles:\r
- Issue creation with proper formatting\r
- Sheet updates across 2 different tabs\r
- Real-time dashboard logging\r
\r
It's not about being lazy. It's about removing friction from repetitive tasks so I can focus on actual problem-solving.\r
\r
What repetitive task would you automate if you could?\r
\r
#Automation #Productivity #AI #OpenClaw\r
```\r
\r
## Quality Checklist\r
\r
Before delivering, verify:\r
\r
**Twitter:**\r
- [ ] Hook stops scroll (bold/specific/curious)\r
- [ ] Under 280 characters (110 optimal)\r
- [ ] No external links in main tweet\r
- [ ] Has engagement driver (question)\r
\r
**LinkedIn:**\r
- [ ] First 2 lines compelling\r
- [ ] Short paragraphs with line breaks\r
- [ ] No buzzwords or cringe phrases\r
- [ ] Specific numbers/details included\r
- [ ] Ends with question\r
- [ ] 3-5 hashtags at bottom\r
安全使用建议
This skill is instruction-only and appears to only generate draft text for X (Twitter) and LinkedIn — it does not post for you and does not request credentials. Before installing or using it, consider: (1) review any generated content before posting (to avoid accidental PII or inaccurate claims), (2) confirm it matches the current platform rules and character limits (platform names/limits can change), and (3) if you later extend it to perform posting, require explicit credentials and review network/call behavior carefully.
功能分析
Type: OpenClaw Skill Name: anukar-social-draft Version: 1.0.0 The skill bundle contains metadata (`_meta.json`) and instructions for an AI agent (`SKILL.md`). The `SKILL.md` file provides detailed guidelines for drafting social media posts for Twitter and LinkedIn, including content rules, formatting, and best practices. There are no instructions for the agent to perform any actions beyond text generation, such as executing commands, accessing sensitive files, making unauthorized network requests, or attempting prompt injection for malicious purposes. All content aligns with the stated purpose of a 'social-draft' skill.
能力评估
Purpose & Capability
The name and description (draft Twitter/LinkedIn posts) match the SKILL.md instructions. The skill does not request unrelated binaries, credentials, or config paths.
Instruction Scope
Runtime instructions are limited to asking the user for context and producing platform-optimized drafts; they do not instruct reading files, accessing environment variables, or sending data to external endpoints.
Install Mechanism
No install spec or code is included (instruction-only), so nothing is written to disk or downloaded during install.
Credentials
No environment variables, credentials, or config paths are required. This is proportionate for a drafting-only skill that doesn't actually post on behalf of the user.
Persistence & Privilege
The skill is not marked always:true and does not request elevated persistence or modification of other skills' configs. It can be invoked by the user or autonomously per platform defaults.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install anukar-social-draft
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /anukar-social-draft 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
- Initial release of the Social Draft skill. - Generate Twitter and LinkedIn posts simultaneously with platform-optimized drafts in one workflow. - Includes detailed prompts to gather context on topic, key details, tone, and goal. - Applies best practices and formatting specific to each platform for higher engagement. - Provides a clear checklist to ensure quality and compliance for both Twitter and LinkedIn posts.
元数据
Slug anukar-social-draft
版本 1.0.0
许可证
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Aunkar Social Draft 是什么?

Draft Twitter and LinkedIn posts in one go. Use when user wants to create social media content for announcements, achievements, or updates. Combines tweet-wr... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 286 次。

如何安装 Aunkar Social Draft?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install anukar-social-draft」即可一键安装,无需额外配置。

Aunkar Social Draft 是免费的吗?

是的,Aunkar Social Draft 完全免费(开源免费),可自由下载、安装和使用。

Aunkar Social Draft 支持哪些平台?

Aunkar Social Draft 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Aunkar Social Draft?

由 Tara Singh Kharwad(@tarasinghrajput)开发并维护,当前版本 v1.0.0。

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