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
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
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