social-media-generator▌
ailabs-393/ai-labs-claude-skills · updated Apr 8, 2026
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This skill enables creation of platform-optimized social media content for Twitter, Instagram, LinkedIn, and Facebook. It automatically generates posts tailored to each platform's best practices and saves them in an organized directory structure.
Social Media Generator
Overview
This skill enables creation of platform-optimized social media content for Twitter, Instagram, LinkedIn, and Facebook. It automatically generates posts tailored to each platform's best practices and saves them in an organized directory structure.
When to Use This Skill
Use this skill when the user requests:
- Creation of social media posts for multiple platforms
- Content generation for specific events, announcements, or campaigns
- Platform-specific content optimization
- Organized storage of social media content
Core Workflow
Step 1: Gather Information
Collect the following details from the user (ask if not provided):
- Event/content name
- Date and time (format: DD-MM-YYYY-HHMM)
- Main message or announcement
- Target audience
- Key details to include
- Call-to-action
- Any specific hashtags or mentions
- Brand voice/tone preferences
Step 2: Generate Platform-Specific Content
Create content for each platform using the templates in assets/:
Twitter (assets/twitter_template.md)
- Keep under 280 characters
- Concise and punchy
- 1-3 relevant hashtags
- Clear call-to-action
- Consider emojis for engagement
Instagram (assets/instagram_template.md)
- Engaging caption with hook in first line
- More detailed description
- 5-15 relevant hashtags
- Visual-focused messaging
- Line breaks for readability
- Encourage engagement
LinkedIn (assets/linkedin_template.md)
- Professional and informative tone
- Value-driven content
- Industry insights or takeaways
- 3-5 professional hashtags
- Bullet points for key information
- Discussion-prompting questions
Facebook (assets/facebook_template.md)
- Conversational and engaging
- Keep concise (under 250 chars for best engagement)
- 2-3 relevant hashtags
- Visual-focused
- Encourage comments and shares
- Include event details if applicable
Step 3: Create Organized File Structure
Create the following directory structure in the project:
social-media/
├── twitter/
│ └── event-name-DD-MM-YYYY-HHMM.md
├── instagram/
│ └── event-name-DD-MM-YYYY-HHMM.md
├── linkedin/
│ └── event-name-DD-MM-YYYY-HHMM.md
└── facebook/
└── event-name-DD-MM-YYYY-HHMM.md
Filename Format: event-name-DD-MM-YYYY-HHMM.md
- Use lowercase with hyphens for spaces
- Include date in format: day-month-year-time
- Example:
product-launch-15-03-2025-1400.md
Step 4: Write Content to Files
For each platform:
- Generate platform-optimized content based on the templates
- Create the platform-specific subdirectory if it doesn't exist
- Write the content to the appropriately named markdown file
- Include metadata at the bottom (platform, date, character count)
Step 5: Review and Confirm
After generating all posts:
- Provide a summary of created files
- Highlight key points for each platform
- Note any character count warnings
- Offer to make revisions if needed
Content Optimization Guidelines
Character Limits
- Twitter: 280 characters
- Instagram: 2,200 characters (but concise is better)
- LinkedIn: 3,000 characters
- Facebook: Unlimited (but under 250 for best engagement)
Hashtag Strategy
- Twitter: 1-3 focused hashtags
- Instagram: 5-15 relevant hashtags
- LinkedIn: 3-5 professional hashtags
- Facebook: 2-3 hashtags
Tone Adaptation
- Twitter: Casual, conversational, timely
- Instagram: Visual-first, engaging, lifestyle-focused
- LinkedIn: Professional, insightful, value-driven
- Facebook: Friendly, community-focused, conversational
Call-to-Action Best Practices
- Make it clear and specific
- Use action verbs
- Create urgency when appropriate
- Match platform conventions
Example Usage
User Request: "Create social media posts for our product launch event on March 15, 2025 at 2 PM. The product is an AI-powered productivity tool called TaskFlow."
Execution:
- Gather additional details (key features, target audience, website link)
- Generate four platform-specific posts
- Create directory structure:
social-media/twitter/,social-media/instagram/, etc. - Write files:
taskflow-launch-15-03-2025-1400.mdin each platform folder - Provide summary with file locations and key points
Assets
This skill includes template files in the assets/ directory:
twitter_template.md- Twitter post structure and best practicesinstagram_template.md- Instagram caption format and guidelineslinkedin_template.md- LinkedIn post structure and professional tone guidefacebook_template.md- Facebook post format and engagement tips
These templates serve as reference for platform-specific requirements and best practices when generating content.
How to use social-media-generator on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add social-media-generator
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches social-media-generator from GitHub repository ailabs-393/ai-labs-claude-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate social-media-generator. Access the skill through slash commands (e.g., /social-media-generator) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★29 reviews- ★★★★★Amelia Perez· Dec 24, 2024
social-media-generator fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Pratham Ware· Dec 12, 2024
Solid pick for teams standardizing on skills: social-media-generator is focused, and the summary matches what you get after install.
- ★★★★★James Verma· Dec 12, 2024
We added social-media-generator from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Chaitanya Patil· Dec 4, 2024
Useful defaults in social-media-generator — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Piyush G· Nov 23, 2024
social-media-generator is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Carlos Tandon· Nov 15, 2024
Registry listing for social-media-generator matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Dev Chawla· Nov 3, 2024
social-media-generator reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Jin Jain· Oct 22, 2024
Registry listing for social-media-generator matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Shikha Mishra· Oct 14, 2024
Keeps context tight: social-media-generator is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Nia Chen· Oct 6, 2024
social-media-generator reduced setup friction for our internal harness; good balance of opinion and flexibility.
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