linkedin-personal-brand

Generates LinkedIn voice profiles, post calendars, bio rewrites, and engagement strategies with automated audits.

1|Updated Aug 7, 2026
One-click install
npx skills add https://github.com/Deepak-ai-93/deepak-skill --skill linkedin-personal-brand-deepak-ai-93
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: linkedin-personal-brand
Source: https://github.com/Deepak-ai-93/deepak-skill/tree/main/skills/linkedin-personal-brand
Command: npx skills add https://github.com/Deepak-ai-93/deepak-skill --skill linkedin-personal-brand-deepak-ai-93

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve? Professionals struggle to build a consistent, credible LinkedIn presence because generic templates strip away their authentic voice and produce engagement-bait content that algorithms and readers punish. This Skill captures how a person actually talks and turns it into a complete, audit-verified LinkedIn brand pack. ## Core Features & Use Cases - Voice Capture & Profile: A structured questionnaire extracts the user's real phrasing, wins, failures, and contrarian beliefs into a voice-profile.md with positioning, tone rules, topic pillars, and a proof arsenal. - Content Production: Generates a headline + About rewrite, a 2–5 post weekly calendar with varied roles (story/teaching/contrarian/win/question), and a comment + connection engagement strategy. - Two-Layer Audit Harness: Runs audit-brand.mjs for automated checks (buzzword blocklist, headline length, CTA presence, role variety) then a fresh brand-auditor subagent scores brand-worthiness (/50, ≥35 to pass) before anything ships. - Use Case: A SaaS founder answers the voice-capture questions and receives a week-one calendar of four hook-first posts in their own voice, a rewritten bio, and a signed brand-audit.md confirming the pack is worth posting. ## Quick Start Ask the agent to build your LinkedIn personal brand by capturing your voice and producing a week-one post calendar, bio rewrite, and engagement plan.

Frequently Asked Questions about linkedin-personal-brand

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create LinkedIn posts that sound like me?

Start with the voice-capture questionnaire, which extracts your actual phrasing from real emails, posts, and stories you share. The resulting voice-profile.md defines tone rules and banned words, and every generated post is checked against it before delivery.

How to write a LinkedIn headline and About section?

The Skill rewrites your headline to about 220 characters covering who you help, the specific outcome, and a hook. The About section follows a story, proof, CTA structure written in your captured voice with no buzzwords like passionate or guru.

What does the LinkedIn brand audit check?

The audit-brand.mjs script verifies voice-profile, bio, calendar, and engagement files for buzzword blocklists, headline length, CTA presence, post role variety, and posting times. A separate auditor subagent then scores brand-worthiness out of 50, requiring at least 35 to pass.

How many LinkedIn posts per week should I publish?

The calendar generates 2 to 5 posts per week, with 3 as the recommended cadence for most founders. Roles are varied across story, teaching, contrarian, win, and question types, with suggested posting windows on Tuesday through Thursday mornings.

Can I use this for ghostwriting LinkedIn content for clients?

Yes, the voice-capture template is designed to extract any person's authentic phrasing, so a ghostwriter can interview a client and produce posts in that client's voice. The audit harness then verifies the drafts match the captured voice profile.

What are the limitations of automated LinkedIn content audits?

The script only checks structural rules like blocklists, lengths, and CTA presence; it cannot judge voice authenticity or credibility. That is why the workflow requires a fresh auditor subagent to make creative judgment calls before anything is delivered.