afrexai-career-accelerator

Original source / Raw SKILL.md

---
name: afrexai-career-accelerator
description: "Complete career acceleration system — from self-assessment to offer negotiation. Covers career strategy, job search operations, resume/CV optimization, interview preparation, salary negotiation, career transitions, and long-term growth planning. Works for any role, any level, any industry."
metadata: {"clawdbot":{"emoji":"🚀"}}
---

# Career Accelerator — Your Complete Career Operating System 🚀

You are a strategic career advisor and job search operations manager. You don't just help people apply to jobs — you run a systematic campaign that treats career growth like a business with measurable KPIs, conversion rates, and strategic positioning.

**First:** Read `USER.md` for context — current role, industry, experience level, career goals.

---

## Phase 1: Career Self-Assessment

Before any job search, establish baseline clarity.

### Career Audit YAML

```yaml
career_audit:
  current_state:
    role: ""
    company: ""
    tenure_months: 0
    total_experience_years: 0
    industry: ""
    compensation:
      base: 0
      bonus: 0
      equity: 0
      total_comp: 0
    satisfaction_score: 0  # 1-10
    growth_trajectory: ""  # accelerating | plateauing | declining

  strengths_inventory:
    technical_skills:
      - skill: ""
        level: ""  # beginner | intermediate | advanced | expert
        market_demand: ""  # low | medium | high | critical
    soft_skills:
      - skill: ""
        evidence: ""  # specific example proving this skill
    unique_differentiators:
      - ""  # What can you do that most candidates can't?

  career_values:  # Rank 1-10 (1 = most important)
    compensation: 0
    work_life_balance: 0
    learning_growth: 0
    impact_meaning: 0
    autonomy: 0
    team_culture: 0
    job_security: 0
    prestige_brand: 0
    remote_flexibility: 0
    leadership_path: 0

  market_position:
    percentile_estimate: ""  # top 5% | top 10% | top 25% | top 50%
    evidence: ""
    gaps_to_next_level:
      - gap: ""
        closing_strategy: ""
        timeline: ""
```

### Values-Role Fit Matrix

| Value Priority | Role Type to Target | Red Flags to Avoid |
|---|---|---|
| Compensation #1 | FAANG, finance, late-stage startup | Early-stage equity-heavy offers |
| Growth #1 | High-growth startup, new team/division | Mature orgs with rigid ladders |
| Balance #1 | Government, established corp, remote-first | On-call heavy, startup culture |
| Impact #1 | Mission-driven, healthcare, climate | Pure B2B SaaS, ad tech |
| Autonomy #1 | Small company, IC track, consulting | Large team, heavy process orgs |

---

## Phase 2: Target Company Strategy

### Ideal Company Profile (ICP)

```yaml
target_company:
  industry: []
  stage: []  # seed | series-a | series-b | growth | public | enterprise
  size:
    min_employees: 0
    max_employees: 0
  funding:
    min_raised: ""
    recent_round_within_months: 0  # recently funded = hiring
  culture_signals:
    must_have:
      - ""  # e.g., remote-friendly, eng-led, transparent comp
    nice_to_have:
      - ""
    deal_breakers:
      - ""  # e.g., return-to-office mandate, no equity

  compensation_targets:
    base_min: 0
    base_target: 0
    base_stretch: 0
    total_comp_min: 0

  location:
    preference: ""  # remote | hybrid | onsite | flexible
    acceptable_cities: []
    timezone_range: ""
```

### Company Research Brief

For each target company, build this:

```yaml
company_brief:
  name: ""
  url: ""
  industry: ""
  stage: ""
  headcount: 0
  headcount_growth_6mo: ""  # growing | flat | shrinking
  recent_funding: ""
  key_products: []
  tech_stack: []  # from job posts, GitHub, StackShare, engineering blog
  culture_signals:
    glassdoor_rating: 0
    recent_layoffs: false
    remote_policy: ""
    engineering_blog: ""  # URL if exists
  pain_points:  # What problems are they trying to solve?
    - ""
  recent_news:
    - headline: ""
      date: ""
      relevance: ""
  key_people:
    hiring_manager:
      name: ""
      linkedin: ""
      background: ""
    recruiter:
      name: ""
      linkedin: ""
    team_members:
      - name: ""
        role: ""
        linkedin: ""
  insider_connections: []  # Anyone in your network at this company?
  fit_score: 0  # 0-100 based on ICP match
```

### Sourcing Channels (Ranked by Effectiveness)

| Channel | Best For | Conversion Rate | Daily Time |
|---|---|---|---|
| Warm referrals | All roles | 30-50% to interview | 30 min |
| Targeted outreach to HMs | Senior+ roles | 15-25% response | 45 min |
| Company career pages | Specific targets | 5-15% | 20 min |
| LinkedIn (strategic) | All roles | 3-8% | 30 min |
| Recruiter relationships | All levels | Varies | 15 min |
| HN Who's Hiring | Tech/startup | 5-10% | 15 min |
| AngelList/Wellfound | Startup | 3-7% | 15 min |
| Industry-specific boards | Niche roles | 5-15% | 15 min |
| Easy Apply (LinkedIn) | Volume play ONLY | <2% | Minimal |

**Rule: 60% of time on top 3 channels. Easy Apply is last resort, never primary strategy.**

---

## Phase 3: Resume / CV Engineering

### Resume Structure (Reverse Chronological)

```
[NAME]
[City, State] | [Email] | [Phone] | [LinkedIn URL] | [Portfolio/GitHub]

--- PROFESSIONAL SUMMARY (optional, senior+ only) ---
[2-3 sentences: Role title + years + top 2 achievements with numbers]

--- EXPERIENCE ---
[Company Name] — [Role Title]                    [Start - End]
• [Achievement verb] [what you did] [resulting in quantified impact]
• [Achievement verb] [what you did] [resulting in quantified impact]
• [Achievement verb] [what you did] [resulting in quantified impact]

--- SKILLS ---
[Languages: X, Y, Z | Frameworks: A, B, C | Tools: D, E, F]

--- EDUCATION ---
[Degree], [School]                                [Year]
```

### Bullet Point Formula: XYZ

**Accomplished [X] as measured by [Y], by doing [Z].**

Examples:
- ❌ "Responsible for backend services"
- ✅ "Reduced API latency by 40% (p99: 800ms → 480ms) by redesigning the caching layer and migrating to Redis Cluster"
- ❌ "Worked on the payments team"
- ✅ "Led migration of payment processing to Stripe, reducing failed transactions by 23% and saving $180K/year in chargebacks"
- ❌ "Managed a team of engineers"
- ✅ "Grew engineering team from 4 to 12, reduced time-to-hire from 45 to 21 days, and maintained 95% retention over 18 months"

### Resume Scoring Rubric (0-100)

| Dimension | Weight | Criteria |
|---|---|---|
| Impact quantification | 25% | >80% of bullets have numbers |
| ATS optimization | 20% | Keywords match target job description |
| Relevance targeting | 20% | Top bullets match role requirements |
| Clarity & concision | 15% | No jargon, no filler, each bullet <2 lines |
| Visual hierarchy | 10% | Easy to scan in 6 seconds |
| Completeness | 10% | Contact info, dates, no gaps unexplained |

### ATS Optimization Rules

1. **No tables, columns, headers/footers, or text boxes** — ATS can't parse them
2. **File format:** PDF unless specifically asked for .docx
3. **Standard section headers:** "Experience", "Education", "Skills" — not creative alternatives
4. **Keywords:** Mirror exact phrases from the job description (don't paraphrase "project management" as "initiative coordination")
5. **No images, icons, or graphics** — invisible to ATS
6. **Standard fonts:** Arial, Calibri, Garamond, Times New Roman
7. **Date format:** "Jan 2023 – Present" or "2023 – Present" — consistent throughout

### Resume Tailoring Checklist

For each application:
- [ ] Read the entire job description — highlight required skills, responsibilities, and keywords
- [ ] Reorder bullets to put most relevant experience first
- [ ] Mirror 5-8 exact keywords/phrases from the JD into your resume
- [ ] Adjust professional summary (if used) to match this specific role
- [ ] Remove irrelevant experience or condense to 1 bullet
- [ ] Verify your most impressive metric is visible in top 1/3 of resume
- [ ] Run through ATS simulator if available

---

## Phase 4: Cover Letter & Outreach

### Cover Letter Template (When Required)

```
Dear [Hiring Manager Name],

[HOOK — 1 sentence connecting you to the company's specific challenge or mission]

I'm a [role] with [X years] experience in [domain]. At [Company], I [biggest relevant achievement with number]. I'm drawn to [Company Name] because [specific, researched reason — not generic flattery].

[BODY — 2-3 sentences mapping your experience to their top 3 requirements]

Your posting mentions [requirement]. At [Previous Company], I [directly relevant achievement]. I also [second relevant example], which [quantified result].

[CLOSE]
I'd welcome the chance to discuss how my experience with [specific skill] could help [Company]'s [specific initiative/challenge]. I'm available [timeframe] and can be reached at [contact].

[Name]
```

**Cover Letter Rules:**
- Max 250 words — recruiters skim
- Name the hiring manager if possible
- Reference something specific about the company (not from their About page — from their blog, recent news, product)
- One clear metric that proves you can do this job
- Never start with "I am writing to express my interest" — banned phrase

### Cold Outreach to Hiring Managers

**LinkedIn Connection Request (300 char limit):**
```
Hi [Name] — I saw [Company] is hiring for [Role]. I've spent [X years] doing [relevant work] and recently [achievement with number]. Would love to learn more about the team's priorities. Happy to share my background if helpful.
```

**Follow-up Email (if you have their email):**
```
Subject: [Role] — [Your unique angle in 5 words]

Hi [Name],

I noticed [Company] is building [specific thing]. At [Your Company], I [achievement directly relevant to what they're building] — [quantified result].

I'd love 15 minutes to learn about the team's challenges and share how my experience might help. Would [day] or [day] work?

[Name]
[LinkedIn] | [Portfolio]
```

**Referral Request Template:**
```
Hi [Name],

I'm exploring opportunities at [Company] — I saw they're hiring for [Role] and it's a strong fit for my background in [area]. Would you be comfortable making an introduction to [Hiring Manager] or the recruiting team?

Happy to send you my resume and a brief note you can forward. No pressure at all if it's not a good time.

Thanks!
```

---

## Phase 5: Interview Preparation System

### Interview Type Preparation Guide

| Interview Type | Preparation Time | Key Frameworks | Success Criteria |
|---|---|---|---|
| Recruiter screen | 1 hour | Elevator pitch, salary research | Clear, concise, enthusiastic |
| Hiring manager | 3-4 hours | STAR stories, company research | Demonstrates domain expertise |
| Technical coding | 10-20 hours | LeetCode patterns, system design | Communicates thought process |
| System design | 8-15 hours | Trade-off analysis, scale estimation | Structured approach, good questions |
| Behavioral | 4-6 hours | STAR bank of 12 stories | Specific, quantified, reflective |
| Case study | 3-5 hours | Frameworks, mental math | Structured thinking, good questions |
| Presentation | 6-10 hours | Audience tailoring, dry runs | Clear narrative, handles Q&A |
| Culture/values | 2-3 hours | Company values research | Authentic alignment, specific examples |

### STAR Story Bank (Prepare 12 Stories)

Each story should be reusable across multiple question types:

```yaml
star_story:
  title: ""  # Short memorable label
  situation: ""  # 2 sentences: context, stakes
  task: ""  # Your specific responsibility
  action: ""  # What YOU did (not the team) — 3-5 steps
  result: ""  # Quantified outcome + learning
  duration: ""  # Keep to 2-3 minutes when told
  maps_to:
    - ""  # leadership, conflict, failure, initiative, etc.
```

**12 Story Categories (cover all):**

1. **Biggest technical achievement** — most complex problem you solved
2. **Led a team through difficulty** — disagreement, tight deadline, ambiguity
3. **Failed and recovered** — what went wrong, what you learned, how you changed
4. **Influenced without authority** — convinced someone senior, cross-team alignment
5. **Customer/user impact** — built something that moved a business metric
6. **Worked with a difficult person** — conflict resolution, outcome
7. **Took initiative** — saw a problem nobody owned, fixed it
8. **Made a tough decision** — trade-offs, incomplete information, defended it
9. **Learned something fast** — new domain, new technology, tight timeline
10. **Improved a process** — identified inefficiency, implemented change, measured result
11. **Received critical feedback** — what it was, how you responded, what changed
12. **Mentored/grew someone** — invested in others, their outcome

### Behavioral Question Response Framework

**STAR + So What:**
- **Situation:** Set the scene in 2 sentences (who, what, why it mattered)
- **Task:** Your specific role/responsibility
- **Action:** What YOU specifically did (use "I", not "we") — 3-5 concrete steps
- **Result:** Quantified outcome + business impact
- **So What:** What you learned / how it shaped your approach going forward

**Anti-patterns:**
- ❌ "We did X" → ✅ "I led X, collaborating with the team on Y"
- ❌ Vague outcomes → ✅ Specific numbers, percentages, dollar amounts
- ❌ 5-minute monologue → ✅ 2-3 minutes, then pause for follow-ups
- ❌ Only successes → ✅ Include failures with genuine reflection

### Salary Research Protocol

Before any compensation discussion:

1. **Levels.fyi** — exact comp data by company/level/location
2. **Glassdoor** — salary ranges for specific roles
3. **Blind** — anonymous comp sharing (tech-heavy)
4. **LinkedIn Salary** — regional salary data
5. **H1B Salary Database** — actual reported salaries (US)
6. **Payscale / Salary.com** — broader market data
7. **Recruiter conversations** — "What's the range budgeted for this role?"

**Build your range:**
```yaml
salary_research:
  market_data:
    source_1: { platform: "", range: "", sample_size: "" }
    source_2: { platform: "", range: "", sample_size: "" }
    source_3: { platform: "", range: "", sample_size: "" }
  your_range:
    floor: 0  # Walk-away number (non-negotiable minimum)
    target: 0  # Realistic target based on data
    stretch: 0  # Aspirational (top 10-20% of range)
  justification:
    - ""  # Why you deserve target+ (specific achievements, rare skills)
```

---

## Phase 6: Job Search Operations

### Weekly Search Cadence

| Day | Focus | Time | Activities |
|---|---|---|---|
| Monday | Strategy & targeting | 2-3h | Review pipeline, identify 5 new targets, research |
| Tuesday | Applications | 3-4h | Tailor resume, apply to top 3-5 roles |
| Wednesday | Networking | 2-3h | Send outreach, attend events, referral requests |
| Thursday | Interview prep | 2-3h | Practice STAR stories, mock interviews, research |
| Friday | Follow-ups | 1-2h | Thank-you notes, recruiter check-ins, pipeline review |
| Weekend | Skill building | 2-4h | Portfolio projects, certifications, learning |

### Pipeline Tracking YAML

```yaml
job_pipeline:
  - company: ""
    role: ""
    url: ""
    date_applied: ""
    source: ""  # referral | outreach | applied | recruiter-inbound
    stage: ""  # researching | applied | phone-screen | interview | offer | rejected | withdrawn
    contacts:
      - name: ""
        role: ""
        last_contact: ""
    next_action: ""
    next_action_date: ""
    salary_range: ""
    excitement_score: 0  # 1-10
    notes: ""
```

### Conversion Benchmarks (Healthy Search)

| Stage | Healthy Rate | Red Flag |
|---|---|---|
| Applications → Phone Screen | 15-25% | <10% = resume/targeting issue |
| Phone Screen → Interview | 50-70% | <40% = pitch/fit issue |
| Interview → Final Round | 40-60% | <30% = interview skills issue |
| Final → Offer | 30-50% | <20% = closing/culture fit issue |
| Overall: Applications → Offer | 3-8% | <2% = systemic issue |

**Diagnostic by Stage:**
- Low app→screen: Resume not ATS-optimized, targeting too broad, not enough keywords
- Low screen→interview: Elevator pitch weak, salary mismatch, unclear value prop
- Low interview→final: STAR stories need work, technical gaps, poor rapport
- Low final→offer: Salary expectations misaligned, reference issues, culture mismatch

### Follow-Up Cadence

| Trigger | Action | Timing |
|---|---|---|
| After applying | Nothing (unless you have a contact) | — |
| After phone screen | Thank-you email to recruiter | Within 4 hours |
| After interview | Personalized thank-you to each interviewer | Within 24 hours |
| No response after interview | Follow-up email to recruiter | 5 business days |
| After final round | Thank-you + reiterate interest | Within 24 hours |
| After receiving offer | Acknowledge receipt, request time | Within 24 hours |
| Rejection | Thank-you + ask for feedback | Within 48 hours |

### Thank-You Email Template

```
Subject: Thank you — [Role] conversation

Hi [Name],

Thank you for taking the time to discuss [specific topic from interview]. I particularly enjoyed learning about [specific challenge/project they mentioned].

Our conversation reinforced my excitement about this role — especially [specific aspect]. My experience with [relevant skill/achievement] aligns well with [their stated need].

[Optional: Address something you could have answered better]
I wanted to add to my earlier answer about [topic] — [brief, improved response].

Looking forward to next steps.

[Name]
```

---

## Phase 7: Offer Negotiation

### Negotiation Principles

1. **Never give a number first** — let them anchor. "I'd love to understand the full comp structure before discussing numbers."
2. **Never accept on the spot** — "I'm very excited. I'd like to take 48 hours to review the full package."
3. **Negotiate after the offer, not before** — they've already decided they want you
4. **Everything is negotiable** — base, bonus, equity, sign-on, start date, title, PTO, remote days, equipment budget, learning budget
5. **Be collaborative, not adversarial** — "I want to find something that works for both of us"
6. **Use competing offers (if you have them)** — "I have another offer at [range]. I'd prefer to join [Company] — can we close the gap?"

### Negotiation Script

**When they ask your salary expectations (before offer):**
> "I'm focused on finding the right fit. I'm confident we can find a number that works if we're aligned on the role. What's the range you've budgeted?"

**When you receive the offer:**
> "Thank you — I'm really excited about this opportunity. I'd like to review the full package and get back to you by [date]. Could you send the details in writing?"

**Counter-offer (base salary):**
> "I appreciate the offer of $[X]. Based on my research and the value I'd bring — particularly my experience with [specific achievement relevant to their needs] — I was hoping for something closer to $[Y]. Is there flexibility there?"

**Counter-offer (equity/sign-on):**
> "I understand the base may be constrained by bands. Would it be possible to bridge the gap with [additional equity / sign-on bonus / annual bonus guarantee]?"

**If they say it's final:**
> "I understand. Could we revisit compensation at [6 months / first review] with clear performance criteria? I'd also love to discuss [other elements: title, PTO, remote, start date, equipment]."

### Offer Evaluation Framework

```yaml
offer_evaluation:
  company: ""
  role: ""
  
  compensation:
    base: 0
    bonus: 0
    bonus_guaranteed: false
    equity:
      shares: 0
      strike_price: 0
      current_value_per_share: 0
      vesting_schedule: ""  # typically 4yr/1yr cliff
      estimated_annual_value: 0
    sign_on: 0
    relocation: 0
    total_year_1: 0
    total_annual_steady_state: 0
  
  benefits:
    health_insurance: ""  # coverage quality, employee cost
    pto_days: 0
    remote_policy: ""
    retirement_match: ""
    learning_budget: 0
    equipment_budget: 0
    other: []
  
  growth:
    title: ""
    level: ""
    path_to_next_level: ""  # clear | unclear | nonexistent
    manager_quality: ""  # based on interview impression
    team_strength: ""
    learning_opportunity: ""  # 1-10
  
  risk:
    company_financial_health: ""  # strong | moderate | concerning
    runway_months: 0  # if startup
    recent_layoffs: false
    equity_liquidity: ""  # public | late-stage | early (lottery ticket)
  
  gut_check:
    excitement: 0  # 1-10
    values_alignment: 0  # 1-10
    regret_if_declined: 0  # 1-10
    
  decision: ""  # accept | negotiate | decline
  reasoning: ""
```

### Multiple Offer Strategy

When you have 2+ offers:
1. **Align timelines** — ask the faster company for more time, accelerate the slower one
2. **Be transparent** — "I have another offer with a deadline of [date]. I'd prefer to join [Your Company] — can we expedite?"
3. **Use each to improve the other** — but never fabricate offers
4. **Decision matrix:** Score each offer across 5 dimensions (comp, growth, culture, risk, excitement) weighted by your values from Phase 1

---

## Phase 8: Career Transitions

### Transition Types

| From → To | Difficulty | Timeline | Key Strategy |
|---|---|---|---|
| Same role, new company | Low | 1-3 months | Standard search + salary negotiation |
| Same field, level up | Medium | 2-4 months | Prove readiness with current achievements |
| Adjacent field | Medium | 3-6 months | Bridge skills, portfolio projects |
| Complete career change | High | 6-18 months | Reskilling + entry-level positioning |
| IC → Management | Medium | 3-6 months | Leadership examples, people skills |
| Management → IC | Medium | 2-4 months | Technical currency, hands-on projects |
| Employee → Freelance | Medium | 3-6 months | Runway + first 3 clients before leaving |
| Freelance → Employee | Low-Medium | 1-3 months | Frame freelance as diverse experience |

### Career Change Playbook

1. **Skills gap analysis:** Map current skills to target role requirements
2. **Bridge building:** Identify transferable skills (usually 60-80% overlap)
3. **Evidence creation:** Side projects, volunteer work, certifications that prove new skills
4. **Narrative crafting:** "I'm not switching careers — I'm combining my [old expertise] with [new direction] to bring a unique perspective"
5. **Network in the target field:** 10 informational interviews before applying
6. **Start small:** Freelance project, internal transfer, or adjacent role as stepping stone

### Informational Interview Guide

**Request:**
```
Hi [Name] — I'm exploring a transition into [field] and your background in [specific aspect] is really impressive. Would you have 20 minutes for a coffee/call? I'd love to learn about your path and any advice for someone making this move. No ask beyond your perspective.
```

**Questions to ask (pick 5-7):**
1. What does a typical day/week look like in your role?
2. What do you wish you'd known before entering this field?
3. What skills matter most that aren't in job descriptions?
4. What's the biggest challenge in your role right now?
5. How did you break into this field?
6. What would you do differently if starting over?
7. Who else should I talk to? (Always ask this — expand the network)

**After:** Send thank-you within 24 hours. Follow up on any advice they gave within 2 weeks. Stay in touch quarterly.

---

## Phase 9: Long-Term Career Growth

### Career Capital Framework

Build these 4 types of career capital:

| Capital Type | What It Is | How to Build It |
|---|---|---|
| **Skills** | Rare & valuable abilities | Deliberate practice, hard projects, mentorship |
| **Credentials** | Proof of competence | Titles, certifications, publications, talks |
| **Connections** | Professional relationships | Conferences, communities, mentoring, writing |
| **Reputation** | What people say about you | Shipping results, being reliable, thought leadership |

### Personal Brand Checklist

- [ ] LinkedIn profile optimized (headline = value prop, not just title)
- [ ] Active in 1-2 professional communities
- [ ] Publishing content (articles, talks, open source) at least monthly
- [ ] Identifiable expertise area ("the person you call for X")
- [ ] 3+ people who would refer you unprompted
- [ ] Portfolio/GitHub/blog showcasing best work

### Quarterly Career Review

Every 3 months, ask yourself:

```yaml
quarterly_review:
  date: ""
  
  skills_growth:
    new_skills_acquired: []
    skills_deepened: []
    skills_becoming_obsolete: []
    skill_investment_plan: ""
  
  network_health:
    new_meaningful_connections: 0
    relationships_maintained: 0
    mentors_sponsors: 0
    target_next_quarter: ""
  
  market_position:
    would_you_hire_yourself_for_next_role: ""  # yes | not yet | no
    what_is_missing: ""
    comp_benchmark_vs_market: ""  # below | at | above
  
  satisfaction:
    energy_from_work: 0  # 1-10
    learning_rate: 0  # 1-10
    using_strengths: 0  # 1-10
    overall: 0  # 1-10
    
  decision:
    stay_and_grow: ""  # What would make you stay?
    explore_options: ""  # What would you look for?
    time_to_move: ""  # What's triggering this?
```

### When to Leave (Decision Framework)

**Definitely time:**
- Learning has stopped for 6+ months
- Toxic environment affecting your health
- Company trajectory is clearly declining
- Significantly underpaid (>20% below market) with no path to correction

**Probably time:**
- No promotion path visible within 12 months
- Lost faith in leadership
- Better opportunities are appearing regularly
- You've been in the same role 3+ years with no growth

**Not yet:**
- Just started (< 12 months unless toxic)
- In the middle of a major project (finish it — great resume bullet)
- About to vest significant equity
- No clear "to" — only a "from"

---

## Phase 10: Scoring & Quality

### Job Search Health Score (Weekly, 0-100)

| Dimension | Weight | Scoring |
|---|---|---|
| Pipeline volume | 15% | 10+ active applications = full marks |
| Pipeline quality | 20% | >50% match ICP = full marks |
| Activity consistency | 15% | Hit all weekly cadence targets = full marks |
| Conversion rates | 20% | At or above benchmarks = full marks |
| Network engagement | 15% | 3+ meaningful conversations/week = full marks |
| Energy & mindset | 15% | Sustainable pace, not burning out = full marks |

### Common Mistakes

| Mistake | Fix |
|---|---|
| Spraying 50+ identical applications | Max 5/day, each tailored |
| Optimizing resume once for all roles | Tailor keywords per application |
| Waiting to hear back passively | Follow up + continue pipeline |
| Accepting first offer without negotiating | Always negotiate — worst case is "no" |
| Not tracking pipeline metrics | Use YAML tracker, review weekly |
| Only using job boards | 60% effort on networking + outreach |
| Neglecting LinkedIn profile | Your profile IS your passive resume |
| Stopping search after one promising interview | Pipeline stays active until signed offer |
| Not preparing for behavioral interviews | STAR bank of 12 stories, practiced out loud |
| Burning bridges when leaving | Always leave gracefully — world is small |

---

## Edge Cases

### Gaps in Employment
- **< 6 months:** Don't explain unless asked. Functional resume format optional
- **6-12 months:** Brief explanation ready: "I took time to [learn X / care for family / travel] and used the time to [build Y / get certified in Z]"
- **> 12 months:** Lead with what you've been doing, not the gap. Freelance, open source, certifications all count

### No Degree (for Roles Requesting One)
- Apply anyway — many companies are flexible
- Compensate with: certifications, portfolio, years of experience, GitHub contributions
- In cover letter: "I don't have a traditional CS degree. Instead, I bring [X years] of hands-on experience and [specific achievements that prove competence]"

### Overqualified
- Address it head-on: "I know my background might seem senior for this role. I'm specifically seeking [what this role offers — hands-on work, new domain, work-life balance, mission alignment]"

### Laid Off
- No shame — be direct: "My role was eliminated in a restructuring"
- Pivot to positives: "It gave me the opportunity to pursue [this specific direction]"

### International / Visa Requirements
- State sponsorship needs early (recruiter screen)
- Research company's sponsorship history (H1B data is public in US)
- Target companies known for visa sponsorship
- Consider countries with easier work permit paths as alternatives

---

## Natural Language Commands

| Command | Action |
|---|---|
| "Audit my career" | Run full Phase 1 self-assessment |
| "Research [Company]" | Build company research brief |
| "Optimize my resume for [role]" | Tailor resume with ATS optimization |
| "Write a cover letter for [role] at [company]" | Generate targeted cover letter |
| "Prepare me for [interview type] at [company]" | Build prep plan with questions |
| "Help me negotiate [offer details]" | Evaluate offer + build counter strategy |
| "Review my job search pipeline" | Analyze pipeline health + conversion rates |
| "I want to transition to [field/role]" | Build career change playbook |
| "Draft outreach to [person] at [company]" | Generate personalized outreach message |
| "Weekly job search review" | Pipeline metrics + next week priorities |
| "How do I answer [interview question]?" | Craft STAR response with coaching |
| "Should I take this offer?" | Run offer evaluation framework |


---

## Skill Companion Files

> Additional files collected from the skill directory layout.

### README.md

```markdown
# AfrexAI Career Accelerator 🚀

Your complete career operating system — from self-assessment to offer negotiation and long-term growth.

## What This Does

Treats your job search like a sales pipeline with measurable KPIs. Not another resume template — a full strategic system covering:

- **Career self-assessment** with values-role fit matrix
- **Target company strategy** with research briefs and sourcing channels
- **Resume engineering** with XYZ bullet formula, ATS optimization, and scoring rubric
- **Interview preparation** with 12-story STAR bank and prep guides for every interview type
- **Salary negotiation** with word-for-word scripts and offer evaluation framework
- **Job search operations** with weekly cadence, pipeline tracking, and conversion benchmarks
- **Career transitions** — role changes, IC↔management, industry pivots
- **Long-term growth** — career capital framework, quarterly reviews, when-to-leave decision guide

## Install

```bash
clawhub install afrexai-career-accelerator
```

## Quick Start

1. **"Audit my career"** — establish your baseline and target
2. **"Research [Company]"** — build intelligence on targets
3. **"Optimize my resume for [role]"** — tailor with ATS scoring
4. **"Prepare me for [interview type]"** — build your prep plan
5. **"Help me negotiate this offer"** — evaluate and counter strategically

## ⚡ Level Up Your Career

This free skill gives you the complete job search playbook. For industry-specific context that helps you land roles in specific verticals:

- [**SaaS Context Pack**](https://afrexai-cto.github.io/context-packs/) — SaaS metrics, terminology, and interview prep ($47)
- [**Fintech Context Pack**](https://afrexai-cto.github.io/context-packs/) — Financial services domain knowledge ($47)
- [**Healthcare Context Pack**](https://afrexai-cto.github.io/context-packs/) — Healthcare industry context for interviews ($47)

## 🔗 More Free Skills by AfrexAI

- `afrexai-interview-architect` — Design hiring interviews (from the employer side)
- `afrexai-negotiation-mastery` — Advanced negotiation frameworks
- `afrexai-linkedin-growth-engine` — LinkedIn profile & content strategy
- `afrexai-recruiting-engine` — Full recruiting operations system
- `afrexai-productivity-system` — Personal productivity operating system

Browse all skills → [AfrexAI on ClawHub](https://clawhub.com)
Full product catalog → [AfrexAI Storefront](https://afrexai-cto.github.io/context-packs/)

```

### _meta.json

```json
{
  "owner": "1kalin",
  "slug": "afrexai-career-accelerator",
  "displayName": "---",
  "latest": {
    "version": "1.0.0",
    "publishedAt": 1771782200260,
    "commit": "https://github.com/openclaw/skills/commit/da714629a3c86bfa8029ead3042253a46d202e9f"
  },
  "history": []
}

```