employee-generated-content▌
kostja94/marketing-skills · updated Apr 8, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
Guides EGC and employee advocacy strategy for AI/SaaS products. EGC is content created by employees (social posts, videos, blogs, testimonials) that reflects authentic workplace and product insights. Employee-shared content generates ~8x more engagement than brand posts; LinkedIn employee posts reach ~561% more than brand content.
Channels: EGC (Employee-Generated Content)
Guides EGC and employee advocacy strategy for AI/SaaS products. EGC is content created by employees (social posts, videos, blogs, testimonials) that reflects authentic workplace and product insights. Employee-shared content generates ~8x more engagement than brand posts; LinkedIn employee posts reach ~561% more than brand content.
When invoking: On first use, if helpful, open with 1-2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.
Initial Assessment
Check for project context first: If .claude/project-context.md or .cursor/project-context.md exists, read it for product, audience, and brand voice.
Identify:
- Goal: Brand trust, thought leadership, recruitment, or conversion
- Platform: LinkedIn (B2B primary), X, Instagram, TikTok
- Employee base: Size, roles, existing social presence
EGC vs. UGC vs. Creator Program
| Dimension | EGC | UGC | Creator Program |
|---|---|---|---|
| Source | Employees | Customers | External creators |
| Trust | Company experts (66% vs 47% for ads) | Peer reviews | Influencer reach |
| Cost | Low; leverage workforce | Incentives, curation | Credits, payment |
| Best for | B2B, SaaS, professional services | Social proof, reviews | Content scale, tutorials |
Why EGC Works
- Algorithm favor: Social platforms prioritize personal accounts over brand pages
- Authenticity: 92% trust recommendations from individuals over branded content; 81% need to trust before buying
- B2B fit: LinkedIn is primary; employees share industry expertise and product insights
- Results: 27% engagement increase, 19% sales increase in first year; 24% higher conversion vs traditional content
Content Formats
| Format | Use | Platform |
|---|---|---|
| Day-in-the-life | Culture, behind-the-scenes | LinkedIn, TikTok, Instagram |
| Industry insights | Thought leadership, expertise | |
| Short-form video | Quick tips, demos | TikTok, LinkedIn, Instagram |
| Testimonials | Product experience | Website, case studies |
| Serialized content | Consistent presence | Personal + brand accounts |
Implementation Best Practices
Do not force participation. Recognize and nurture organic content from employees already sharing about work. Volunteer participation outperforms mandated programs.
| Practice | Purpose |
|---|---|
| Tiered framework | Map employees by engagement (nano, micro, macro); treat like internal influencer tiers |
| Brief templates | Content objectives, brand voice, mandatory disclosures (FTC/ASA) |
| Advocacy platforms | Sociabble, EveryoneSocial for brief distribution and tracking |
| Incentives | Leaderboards, recognition; avoid heavy-handed quotas |
| Training | Improve quality and consistency; keep approval simple |
| Centralized hub | Branded hashtags, content library, approval workflow |
B2B / SaaS Specifics
- LinkedIn first: Algorithm favors personal posts; employees as thought leaders
- Cost-effective: Leverage existing workforce vs hiring external creators
- Diverse perspectives: Sales, support, dev create varied content for different segments
- Recruitment: 79% of job seekers check social before applying; EGC attracts 58% more top talent, 20% retention boost
Output Format
- Platform and content format selection
- Employee identification and tier approach
- Content strategy and brief template
- Governance (approval, disclosure, brand guidelines)
- Measurement plan (engagement, reach, conversions)
Related Skills
- influencer-marketing: External influencers; EGC is internal
- creator-program: External creators; EGC is employee-driven
- linkedin-posts: Primary EGC platform for B2B
- integrated-marketing: EGC as part of PESO shared/earned media
- traffic-analysis: UTM tagging for employee-shared links
How to use employee-generated-content 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 employee-generated-content
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches employee-generated-content from GitHub repository kostja94/marketing-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 employee-generated-content. Access the skill through slash commands (e.g., /employee-generated-content) 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▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★70 reviews- ★★★★★Fatima Rahman· Dec 28, 2024
employee-generated-content reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Tariq Sharma· Dec 24, 2024
We added employee-generated-content from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Zara Martin· Dec 20, 2024
I recommend employee-generated-content for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Shikha Mishra· Dec 16, 2024
employee-generated-content fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Yuki Jackson· Dec 16, 2024
Solid pick for teams standardizing on skills: employee-generated-content is focused, and the summary matches what you get after install.
- ★★★★★Aditi Sethi· Dec 16, 2024
Registry listing for employee-generated-content matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Evelyn Yang· Dec 12, 2024
employee-generated-content has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Yuki Thomas· Dec 8, 2024
employee-generated-content fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Yuki Ramirez· Nov 27, 2024
employee-generated-content is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Evelyn Zhang· Nov 15, 2024
Keeps context tight: employee-generated-content is the kind of skill you can hand to a new teammate without a long onboarding doc.
showing 1-10 of 70