Build Your Voice Profile From Real Posts1 skill
Analyze your best LinkedIn posts to extract your unique tone, phrases, and writing patterns.
Content Blueprint
Write LinkedIn Posts That Sound Human
3marian-kamenistakMay 2026
A 4-file system for writing LinkedIn posts in your authentic voice that bypass AI detection. Includes voice calibration, anti-AI guides, examples, and weekly publishing workflow.
Build Your Voice ProfileLearn Anti-AI Writing RulesStudy Real Post ExamplesWrite Posts With the SkillValidate Posts Before PublishingManage Weekly Publishing Cadence
Install Prompt
Copy this prompt and paste it into your AI agent to install.
What problem does this solve?
Turns Claude (or any LLM) into a LinkedIn ghostwriter that sounds like a real person instead of corporate AI. The system eliminates 40+ AI vocabulary tells, breaks AI's default structure, and includes a pre-publish checklist that catches the subtle patterns readers identify as bot-written content. Users can apply this directly to Claude Projects or adapt to any LLM, with voice customization so posts sound like you, not the author.
How does it work?
- Build your voice profile by analyzing 5-10 of your own best LinkedIn posts, then paste the analysis into your skill file. 2. Upload the 4 skill files to your Claude Project and add custom instructions. 3. Write posts using the system: open with a specific hook, structure for saves, run the pre-publish anti-AI checklist. 4. Refine your voice profile every 5 posts based on what Claude got right or wrong. Output: LinkedIn posts ready to copy-paste that sound like you wrote them from experience, with no AI smell.
Included Skill Groups
Learn Anti-AI Writing Rules and Patterns1 skill
A comprehensive guide to the vocabulary, structure, tone, and formatting patterns that make AI-written content obvious to readers.
Study Real Post Examples for Voice Calibration
Annotated real posts that show what works, with notes on structure, tone, and why each one resonates.
Write Posts Using the LinkedIn Skill3 skills
Generate LinkedIn posts in your voice using Claude Projects with the skill files and custom instructions.
Validate Posts Before Publishing4 skills
Run the pre-publish checklist to catch AI tells and ensure posts sound human before they go live.
Manage Weekly Publishing Cadence and Feedback Loops4 skills
A content planning workflow for sustained 3-post-per-week publishing with continuous voice refinement.
What's the biggest win?
Every post passes the AI detection checklist before publishing, because the system eliminates the vocabulary, structure, and tone patterns readers use to spot AI-written content.
What's required to run this?
Requires Claude Pro and Claude Projects feature to upload knowledge files and use custom instructions. The system is plain markdown, so files can be pasted into any LLM's system prompt or context window. Works with ChatGPT, other LLMs, and local AI tools. The voice-building methodology is LLM-agnostic. The weekly system integrates with Notion but works with any content backlog tool (spreadsheet, plain text file, or even handwritten notes).
What should I watch out for?
These files are calibrated to the author's voice (direct, confrontational, coaching-oriented). If used as-is without customization, posts will sound like him, not you. The anti-AI guide is universal, but all voice elements (banned words, phrases, tone) must become yours. Requires Claude Pro ($20/month) and 3 hours initial setup time to adapt the system to your voice.
Key Features
Voice Calibration
Build a custom voice profile from your best posts using a structured prompt, so posts sound like you, not generic AI.
Anti-AI Detection
40+ banned words, 10+ structural patterns, and 6 tone rules with side-by-side rewrites that eliminate the AI smell.
Pre-Publish Checklist
6-step validation gate covering vocabulary, structure, tone, formatting, specificity, and read-aloud test before any post goes live.
Weekly System
Content planning workflow with Sunday ideation, Tue/Wed/Thu writing sessions, and Notion backlog integration for sustained 3-post-per-week cadence.
Algorithm Strategy
2026 LinkedIn algorithm signals (360 Brew), 3 content pillars, and content funnel positioning (Awareness / Education / Conversion) built into every post type.
Tools in this Blueprint
About This Blueprint
- License
- MIT
- Industry
- Technology
- Skills
- 0 workflows, 0 sub-skills, 6 standalone
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