LinkedIn Updater
Generate LinkedIn profile update instructions by applying best practices to career data.
Workflow Overview
1. LOAD CAREER DATA
└─ Read: career-summary.xml (positioning, metrics), career-profile.xml (STAR activities)
2. EXTRACT KEY ELEMENTS
└─ Identity, headline positioning, key metrics, differentiators, keywords
3. APPLY BEST PRACTICES
└─ Generate content for each LinkedIn section per formula/structure
4. OUTPUT INSTRUCTIONS
└─ Save to linkedin/profile-update-{YYYY-MM-DD}.md with copy-paste blocks
Input Requirements
From Project Knowledge (experience/ directory):
- •
experience/career-summary.xml— Identity, positioning, key metrics, keywords (quick reference) - •
experience/career-profile.xml— Full career with STAR-formatted activities for Experience bullets - •
experience/interview-positioning.xml— Elevator pitch, differentiators, talking points
Step 1: Load and Extract Career Data
Extract from XML files:
| Element | Source | Usage |
|---|---|---|
| Identity | <identity> in career-summary.xml | Name, title, contact info |
| Headline | <positioning><headline> | Starting point for Headline optimization |
| Key Metrics | <key-metrics> | Proof points for About section |
| Differentiators | <differentiators> | Unique value props for About |
| Keywords | <keywords> | SEO terms for all sections |
| STAR Activities | <activity> in career-profile.xml | CAR bullets for Experience |
| Elevator Pitch | <elevator-pitch> in interview-positioning.xml | Hook for About section |
Step 2: Generate Section Content
Headline (220 characters max)
Formula: [Role] | [Specialization] | [Quantified Value] | [Key Differentiator]
Apply formula using:
- •Role: Current title from
<current-title> - •Specialization: Primary profile from
<profile-hierarchy> - •Quantified Value: Top metric from
<key-metrics> - •Key Differentiator: Strongest from
<differentiators>
Include 2-3 searchable AI keywords: Generative AI, LLMs, AI Strategy, AI Platform
Generate 3 headline options for user to choose from.
About Section (2600 characters max)
Five-Part Structure:
- •
Hook (first 3 lines visible before "see more")
- •Use
<elevator-pitch>from interview-positioning.xml - •Make boldest claim or unique insight
- •Use
- •
Who You Help + Transformation
- •Target audience and problems you solve
- •Draw from
<positioning>section
- •
Proof Points (3-5 bullets)
- •Select from
<key-metrics>:- •$1.5B pipeline (Google Value Engineering)
- •100% program survival rate (6 programs, 3-7+ years)
- •10-layer AI platform architecture (McDonald's CIO endorsed)
- •154 GCP Champs participants (7X completion rate)
- •SME for Stratozone → Google Cloud Migration Center
- •Select from
- •
Philosophy/Unique Lens
- •Permanence Architecture methodology
- •Builder-architect hybrid approach
- •
Call to Action
- •DM invitation with specific context
First-person voice. Use 8th grade English. Avoid jargon and hyperbole.
Experience Section
Per Position (3-5 bullets each):
Convert STAR activities to CAR format:
- •Challenge: Combine
<situation>+<task>for context - •Action: Use
<action>with power verbs - •Result: Use
<result>with inline metrics
Bullet Format:
[Action verb] [what was done] to [address challenge], resulting in [quantified result]
Guidelines:
- •Lead with quantified outcomes, not responsibilities
- •Use 8th grade English
- •Vary action verbs (no verb used more than twice)
- •Include keywords naturally
See references/linkedin-best-practices.md for power verb lists.
Skills Section
Order by keyword tier:
| Tier | Count | Strategy |
|---|---|---|
| Core | Top 3 | Most searched skills for target roles |
| Secondary | Next 7 | Supporting technical/domain skills |
| Long-tail | Remaining | Niche differentiators |
Extract from <keywords> section and <expertise> tiers.
Recommended Core Skills:
- •Generative AI
- •Enterprise Architecture
- •AI Strategy
Featured Section
Recommend content to add:
- •Case studies demonstrating Permanence Architecture
- •Speaking engagements or thought leadership
- •Certifications display
- •External validation (articles, awards)
Step 3: Generate Output
Save to: linkedin/profile-update-{YYYY-MM-DD}.md
Document Structure:
# LinkedIn Profile Update Instructions
Generated: {timestamp}
---
## Headline
**Character Count:** [X/220]
### Option 1 (Recommended):
[Generated headline]
### Option 2:
[Alternative headline]
--- ## About Section **Character Count:** [X/2600] ### Copy-Paste Version:
[Generated about section with all 5 parts]
--- ## Experience Section Updates ### [Company] | [Title] **[Dates]** **Recommended Bullets:** 1. [CAR bullet] 2. [CAR bullet] 3. [CAR bullet] [Repeat for each position...] --- ## Skills Section ### Recommended Order: **Top 3 (Core):** 1. [Skill] 2. [Skill] 3. [Skill] **Next 7 (Secondary):** 4-10. [Skills list] --- ## Featured Section Recommendations 1. [Recommendation] 2. [Recommendation] --- ## Implementation Checklist - [ ] Update headline - [ ] Replace About section - [ ] Update current role bullets - [ ] Reorder skills - [ ] Add Featured content - [ ] Request fresh recommendations
Quality Checklist
Before delivering, verify:
- • Headline under 220 characters with 2-3 AI keywords
- • About section under 2600 characters with all 5 parts
- • About uses first-person voice and 8th grade English
- • Key metrics included as proof points (at least 3)
- • Experience bullets follow CAR format with quantified results
- • Skills ordered by keyword tier (Core → Secondary → Long-tail)
- • Featured section has actionable recommendations
- • Implementation checklist included
- • File saved to
linkedin/profile-update-{date}.md
Reference Files
- •
references/linkedin-best-practices.md— Section formulas, keyword strategy, power verbs - •
experience/career-summary.xml— Quick reference for identity, metrics, keywords - •
experience/career-profile.xml— Full STAR activities for Experience bullets - •
experience/interview-positioning.xml— Elevator pitch and differentiators