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kostja94

employee-generated-content

by Kostja Zhang · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
208
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Install in OpenClaw
/install employee-generated-content
Description
When the user wants to plan, implement, or optimize employee-generated content (EGC) or employee advocacy. Also use when the user mentions "EGC," "employee a...
README (SKILL.md)

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:

  1. Goal: Brand trust, thought leadership, recruitment, or conversion
  2. Platform: LinkedIn (B2B primary), X, Instagram, TikTok
  3. 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 LinkedIn
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
Usage Guidance
This skill is primarily a written guide and appears to do what it says, but note it tells the agent to read .claude/project-context.md or .cursor/project-context.md for context even though no config paths are declared. Before installing: (1) confirm you do not store secrets or sensitive data in those project-context files, (2) inspect any project-context files the agent could access, and (3) verify the source of the skill (no homepage or author info is provided). If you need stronger guarantees, ask the publisher to explicitly declare the config paths the skill may read or to remove that step.
Capability Analysis
Type: OpenClaw Skill Name: employee-generated-content Version: 1.0.0 The skill bundle provides a strategic framework and educational content for managing employee-generated content (EGC) and advocacy programs. It contains no executable code, network requests, or suspicious instructions, and its request to read project context files (.claude/project-context.md) is a standard practice for context-aware AI agents.
Capability Assessment
Purpose & Capability
The name, description, and instructions align: the skill is a guidance/strategy helper for employee-generated content and requires no credentials, binaries, or installs. Its recommendations and related-skill links are consistent with that purpose.
Instruction Scope
The SKILL.md explicitly instructs the agent to check for and read local files (.claude/project-context.md or .cursor/project-context.md) for project context. The skill's declared requirements list no config paths. Reading local project-context files for context is reasonable for a strategy skill, but the instruction references file access that wasn't declared in the metadata — this mismatch should be clarified. No other instructions ask for secret values or network exfiltration.
Install Mechanism
No install specification and no code files are present. Being instruction-only minimizes installation risk because nothing is written to disk and no external packages are fetched.
Credentials
The skill declares no required environment variables, credentials, or config paths. That matches the advisory nature of the skill. The only potential concern is the undelcared local file read noted above.
Persistence & Privilege
always is false and there is no indication the skill requests persistent or elevated privileges. Autonomous invocation is enabled by default but not combined with other red flags.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install employee-generated-content
  3. After installation, invoke the skill by name or use /employee-generated-content
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Automated batch sync
Metadata
Slug employee-generated-content
Version 1.0.0
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 1
Frequently Asked Questions

What is employee-generated-content?

When the user wants to plan, implement, or optimize employee-generated content (EGC) or employee advocacy. Also use when the user mentions "EGC," "employee a... It is an AI Agent Skill for Claude Code / OpenClaw, with 208 downloads so far.

How do I install employee-generated-content?

Run "/install employee-generated-content" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is employee-generated-content free?

Yes, employee-generated-content is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does employee-generated-content support?

employee-generated-content is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created employee-generated-content?

It is built and maintained by Kostja Zhang (@kostja94); the current version is v1.0.0.

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