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tarasinghrajput

Aunkar Social Draft

by Tara Singh Kharwad · GitHub ↗ · v1.0.0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install anukar-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-wr...
README (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
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install anukar-social-draft
  3. After installation, invoke the skill by name or use /anukar-social-draft
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Slug anukar-social-draft
Version 1.0.0
License
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Aunkar Social Draft?

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... It is an AI Agent Skill for Claude Code / OpenClaw, with 286 downloads so far.

How do I install Aunkar Social Draft?

Run "/install anukar-social-draft" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Aunkar Social Draft free?

Yes, Aunkar Social Draft is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Aunkar Social Draft support?

Aunkar Social Draft is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Aunkar Social Draft?

It is built and maintained by Tara Singh Kharwad (@tarasinghrajput); the current version is v1.0.0.

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