@h4shed/skill-linkedin-master-journalist

v1.0.1 — Draft polished LinkedIn release and thought-leadership posts with quality validation and performance tracking.

Installation

npm install @h4shed/skill-linkedin-master-journalist

Features

• 📝 Draft LinkedIn Posts — Generate publication-ready articles, dual posts, and cover images
• ✅ Verify Hashtags — Validate hashtag strategy against volume data and best practices
• 🔍 Analyze Content Quality — Enforce brand voice, vocabulary rules, and structural requirements
• 📊 Track Performance — Monitor and compare content metrics across LinkedIn platforms

Tools

1. draft-linkedin-post

Scaffold for drafting polished LinkedIn release and thought-leadership posts.

Input:

• objective (string, required) — Primary objective for content generation
• context (string, optional) — Contextual details about the topic

2. verify-hashtags

Validates hashtag strategy against a curated database of LinkedIn hashtag volume data.

Input:

• hashtags (array, required) — List of hashtags to verify (e.g., ["#AI", "#Leadership"])
• strategy (enum, optional) — Strategy type: balanced (3 high + 2 medium), reach (5+ high), niche (2+ niche)

Output:

• Total and valid hashtag count
• Breakdown by tier (high, medium, niche)
• Strategy alignment assessment
• Actionable recommendations

Example:

{
  "hashtags": ["#AI", "#Leadership", "#Startups", "#Innovation"],
  "strategy": "balanced"
}

3. analyze-content-quality

Validates generated content against LIMJ quality gates and brand voice guidelines.

Input:

• content (string, required) — Content to analyze
• contentType (enum, required) — article or post
• wordCountTarget (object, optional) — Custom min/max word counts

Quality Gates:

• ✓ No banned vocabulary (AI-detectable patterns)
• ✓ Within word count targets
• ✓ Paragraph variety (no excessive short paragraphs)
• ✓ Sentence variety (balanced sentence length)

Output:

• Pass/fail status
• List of issues and warnings
• Quality score (gates passed/total gates)
• Metrics: word count, paragraph count, avg sentence length, banned word instances
• Next steps for remediation

4. track-content-performance

Tracks and analyzes LIMJ-generated content performance metrics across LinkedIn platforms.

Actions:

record — Log performance metrics for published content

{
  "action": "record",
  "entry": {
    "contentId": "article-001",
    "platform": "linkedin-personal",
    "contentType": "article",
    "title": "How I Cut $47K in Legal Fees",
    "publishDate": "2026-05-01",
    "metrics": {
      "views": 2500,
      "likes": 180,
      "comments": 25,
      "shares": 12,
      "saves": 45,
      "clicks": 125
    }
  }
}

analyze — Analyze specific content trends

{
  "action": "analyze",
  "contentIds": ["article-001", "article-002"],
  "timeframe": "month"
}

compare — Compare personal vs. company post performance

{
  "action": "compare",
  "timeframe": "month"
}

Usage Example

import { LinkedinMasterJournalistSkill } from "@h4shed/skill-linkedin-master-journalist";

// Initialize skill
await LinkedinMasterJournalistSkill.initialize({});

// Run tools through MCP
// 1. Draft content
// 2. Verify hashtag strategy
// 3. Analyze content quality
// 4. Publish and track performance

Implementation Status

• ✅ Core scaffolding
• ✅ Hashtag verification with 40+ tracked hashtags
• ✅ Content quality analysis with 20+ validation rules
• ✅ Performance tracking infrastructure
• ⏳ LinkedIn API integration for real-time hashtag volume
• ⏳ Cloud storage for performance metrics
• ⏳ Multi-brand template system

Development

# Build
npm run build --workspace=packages/skills/linkedin-master-journalist

# Test (placeholder)
npm run test --workspace=packages/skills/linkedin-master-journalist

# Watch mode
npm run dev --workspace=packages/skills/linkedin-master-journalist

Roadmap

v1.1 — LinkedIn Metadata Scraping

• Extract publication data from LinkedIn URLs
• Validate citations and source credibility

v1.2 — Real-time Performance Dashboard

• Live metrics sync from LinkedIn API
• Comparative analytics across platforms

v1.3 — Content Calendar Integration

• Schedule posts across platforms
• Multi-brand publishing

v2.0 — AI-Powered Variations

• Generate multiple content variants
• A/B testing framework

License

Apache-2.0