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Employee Generated Content

Community
kostja94
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 advocacy," "employee content," "internal brand ambassadors," "employee social media," "employee advocacy program," "staff advocacy," "LinkedIn employee posts," or "brand ambassador program." For LinkedIn, use linkedin-posts.

Overview

Publisherkostja94
Repositorymarketing-skills
Skill nameemployee-generated-content
Stars
979
Forks
137
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by kostja94 on GitHub. Read the source before you install it.

Installation

Install the Employee Generated Content AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/kostja94/marketing-skills.git /tmp/marketing-skills
mkdir -p .claude/skills
cp -r /tmp/marketing-skills/skills/channels/owned/employee-generated-content .claude/skills/employee-generated-content
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Employee Generated Content in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Employee Generated Content on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Employee Generated Content is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

DimensionEGCUGCCreator Program
SourceEmployeesCustomersExternal creators
TrustCompany experts (66% vs 47% for ads)Peer reviewsInfluencer reach
CostLow; leverage workforceIncentives, curationCredits, payment
Best forB2B, SaaS, professional servicesSocial proof, reviewsContent 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

FormatUsePlatform
Day-in-the-lifeCulture, behind-the-scenesLinkedIn, TikTok, Instagram
Industry insightsThought leadership, expertiseLinkedIn
Short-form videoQuick tips, demosTikTok, LinkedIn, Instagram
TestimonialsProduct experienceWebsite, case studies
Serialized contentConsistent presencePersonal + 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.

PracticePurpose
Tiered frameworkMap employees by engagement (nano, micro, macro); treat like internal influencer tiers
Brief templatesContent objectives, brand voice, mandatory disclosures (FTC/ASA)
Advocacy platformsSociabble, EveryoneSocial for brief distribution and tracking
IncentivesLeaderboards, recognition; avoid heavy-handed quotas
TrainingImprove quality and consistency; keep approval simple
Centralized hubBranded 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

Frequently asked questions

What does the Employee Generated Content AI skill do?

When the user wants to plan, implement, or optimize employee-generated content (EGC) or employee advocacy. Also use when the user mentions "EGC," "employee advocacy," "employee content," "internal brand ambassadors," "employee social media," "employee advocacy program," "staff advocacy," "LinkedIn employee posts," or "brand ambassador program." For LinkedIn, use linkedin-posts.

Why use Employee Generated Content on TypingMind?

Because you install it once and use it with any model. Employee Generated Content is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Employee Generated Content in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kostja94/marketing-skills/tree/main/skills/channels/owned/employee-generated-content. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Employee Generated Content?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Employee Generated Content?

As many as you like. As long as a model supports skills, you can use Employee Generated Content with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Employee Generated Content AI skill free?

Yes. It is published on GitHub by kostja94 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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