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polished LinkedIn release and thought-leadership posts.\n\n**Input:**\n- `objective` (string, required) — Primary objective for content generation\n- `context` (string, optional) — Contextual details about the topic\n\n### 2. `verify-hashtags`\n\nValidates hashtag strategy against a curated database of LinkedIn hashtag volume data.\n\n**Input:**\n- `hashtags` (array, required) — List of hashtags to verify (e.g., `[\"#AI\", \"#Leadership\"]`)\n- `strategy` (enum, optional) — Strategy type: `balanced` (3 high + 2 medium), `reach` (5+ high), `niche` (2+ niche)\n\n**Output:**\n- Total and valid hashtag count\n- Breakdown by tier (high, medium, niche)\n- Strategy alignment assessment\n- Actionable recommendations\n\n**Example:**\n```json\n{\n  \"hashtags\": [\"#AI\", \"#Leadership\", \"#Startups\", \"#Innovation\"],\n  \"strategy\": \"balanced\"\n}\n```\n\n### 3. `analyze-content-quality`\n\nValidates generated content against LIMJ quality gates and brand voice guidelines.\n\n**Input:**\n- `content` (string, required) — Content to analyze\n- `contentType` (enum, required) — `article` or `post`\n- `wordCountTarget` (object, optional) — Custom min/max word counts\n\n**Quality Gates:**\n- ✓ No banned vocabulary (AI-detectable patterns)\n- ✓ Within word count targets\n- ✓ Paragraph variety (no excessive short paragraphs)\n- ✓ Sentence variety (balanced sentence length)\n\n**Output:**\n- Pass/fail status\n- List of issues and warnings\n- Quality score (gates passed/total gates)\n- Metrics: word count, paragraph count, avg sentence length, banned word instances\n- Next steps for remediation\n\n### 4. `track-content-performance`\n\nTracks and analyzes LIMJ-generated content performance metrics across LinkedIn platforms.\n\n**Actions:**\n\n**record** — Log performance metrics for published content\n```json\n{\n  \"action\": \"record\",\n  \"entry\": {\n    \"contentId\": \"article-001\",\n    \"platform\": \"linkedin-personal\",\n    \"contentType\": \"article\",\n    \"title\": \"How I Cut $47K in Legal Fees\",\n    \"publishDate\": \"2026-05-01\",\n    \"metrics\": {\n      \"views\": 2500,\n      \"likes\": 180,\n      \"comments\": 25,\n      \"shares\": 12,\n      \"saves\": 45,\n      \"clicks\": 125\n    }\n  }\n}\n```\n\n**analyze** — Analyze specific content trends\n```json\n{\n  \"action\": \"analyze\",\n  \"contentIds\": [\"article-001\", \"article-002\"],\n  \"timeframe\": \"month\"\n}\n```\n\n**compare** — Compare personal vs. company post performance\n```json\n{\n  \"action\": \"compare\",\n  \"timeframe\": \"month\"\n}\n```\n\n## Usage Example\n\n```typescript\nimport { LinkedinMasterJournalistSkill } from \"@h4shed/skill-linkedin-master-journalist\";\n\n// Initialize skill\nawait LinkedinMasterJournalistSkill.initialize({});\n\n// Run tools through MCP\n// 1. Draft content\n// 2. Verify hashtag strategy\n// 3. Analyze content quality\n// 4. Publish and track performance\n```\n\n## Implementation Status\n\n- ✅ Core scaffolding\n- ✅ Hashtag verification with 40+ tracked hashtags\n- ✅ Content quality analysis with 20+ validation rules\n- ✅ Performance tracking infrastructure\n- ⏳ LinkedIn API integration for real-time hashtag volume\n- ⏳ Cloud storage for performance metrics\n- ⏳ Multi-brand template system\n\n## Development\n\n```bash\n# Build\nnpm run build --workspace=packages/skills/linkedin-master-journalist\n\n# Test (placeholder)\nnpm run test --workspace=packages/skills/linkedin-master-journalist\n\n# Watch mode\nnpm run dev --workspace=packages/skills/linkedin-master-journalist\n```\n\n## Roadmap\n\n**v1.1** — LinkedIn Metadata Scraping\n- Extract publication data from LinkedIn URLs\n- Validate citations and source credibility\n\n**v1.2** — Real-time Performance Dashboard\n- Live metrics sync from LinkedIn API\n- Comparative analytics across platforms\n\n**v1.3** — Content Calendar Integration\n- Schedule posts across platforms\n- Multi-brand publishing\n\n**v2.0** — AI-Powered Variations\n- Generate multiple content variants\n- A/B testing framework\n\n## License\n\nApache-2.0\n","readmeFilename":"README.md"}