# Send --- to your agent
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
## Fast path
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
## Suggested prompts
### New install

```text
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
```
### Upgrade existing

```text
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
```
## Machine-readable fields
```json
{
  "schemaVersion": "1.0",
  "item": {
    "slug": "afrexai-career-accelerator",
    "name": "---",
    "source": "tencent",
    "type": "skill",
    "category": "开发工具",
    "sourceUrl": "https://clawhub.ai/1kalin/afrexai-career-accelerator",
    "canonicalUrl": "https://clawhub.ai/1kalin/afrexai-career-accelerator",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadUrl": "/downloads/afrexai-career-accelerator",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=afrexai-career-accelerator",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "packageFormat": "ZIP package",
    "primaryDoc": "SKILL.md",
    "includedAssets": [
      "README.md",
      "SKILL.md"
    ],
    "downloadMode": "redirect",
    "sourceHealth": {
      "source": "tencent",
      "slug": "afrexai-career-accelerator",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-04-24T10:52:38.152Z",
      "expiresAt": "2026-05-01T10:52:38.152Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=afrexai-career-accelerator",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=afrexai-career-accelerator",
        "contentDisposition": "attachment; filename=\"afrexai-career-accelerator-1.0.0.zip\"",
        "redirectLocation": null,
        "bodySnippet": null,
        "slug": "afrexai-career-accelerator"
      },
      "scope": "item",
      "summary": "Item download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this item.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/afrexai-career-accelerator"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    }
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/afrexai-career-accelerator",
    "downloadUrl": "https://openagent3.xyz/downloads/afrexai-career-accelerator",
    "agentUrl": "https://openagent3.xyz/skills/afrexai-career-accelerator/agent",
    "manifestUrl": "https://openagent3.xyz/skills/afrexai-career-accelerator/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/afrexai-career-accelerator/agent.md"
  }
}
```
## Documentation

### 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

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 PriorityRole Type to TargetRed Flags to AvoidCompensation #1FAANG, finance, late-stage startupEarly-stage equity-heavy offersGrowth #1High-growth startup, new team/divisionMature orgs with rigid laddersBalance #1Government, established corp, remote-firstOn-call heavy, startup cultureImpact #1Mission-driven, healthcare, climatePure B2B SaaS, ad techAutonomy #1Small company, IC track, consultingLarge team, heavy process orgs

### Ideal Company Profile (ICP)

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:

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)

ChannelBest ForConversion RateDaily TimeWarm referralsAll roles30-50% to interview30 minTargeted outreach to HMsSenior+ roles15-25% response45 minCompany career pagesSpecific targets5-15%20 minLinkedIn (strategic)All roles3-8%30 minRecruiter relationshipsAll levelsVaries15 minHN Who's HiringTech/startup5-10%15 minAngelList/WellfoundStartup3-7%15 minIndustry-specific boardsNiche roles5-15%15 minEasy Apply (LinkedIn)Volume play ONLY<2%Minimal

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

### 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)

DimensionWeightCriteriaImpact quantification25%>80% of bullets have numbersATS optimization20%Keywords match target job descriptionRelevance targeting20%Top bullets match role requirementsClarity & concision15%No jargon, no filler, each bullet <2 linesVisual hierarchy10%Easy to scan in 6 secondsCompleteness10%Contact info, dates, no gaps unexplained

### ATS Optimization Rules

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

### 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!

### Interview Type Preparation Guide

Interview TypePreparation TimeKey FrameworksSuccess CriteriaRecruiter screen1 hourElevator pitch, salary researchClear, concise, enthusiasticHiring manager3-4 hoursSTAR stories, company researchDemonstrates domain expertiseTechnical coding10-20 hoursLeetCode patterns, system designCommunicates thought processSystem design8-15 hoursTrade-off analysis, scale estimationStructured approach, good questionsBehavioral4-6 hoursSTAR bank of 12 storiesSpecific, quantified, reflectiveCase study3-5 hoursFrameworks, mental mathStructured thinking, good questionsPresentation6-10 hoursAudience tailoring, dry runsClear narrative, handles Q&ACulture/values2-3 hoursCompany values researchAuthentic alignment, specific examples

### STAR Story Bank (Prepare 12 Stories)

Each story should be reusable across multiple question types:

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):

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

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

Build your range:

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)

### Weekly Search Cadence

DayFocusTimeActivitiesMondayStrategy & targeting2-3hReview pipeline, identify 5 new targets, researchTuesdayApplications3-4hTailor resume, apply to top 3-5 rolesWednesdayNetworking2-3hSend outreach, attend events, referral requestsThursdayInterview prep2-3hPractice STAR stories, mock interviews, researchFridayFollow-ups1-2hThank-you notes, recruiter check-ins, pipeline reviewWeekendSkill building2-4hPortfolio projects, certifications, learning

### Pipeline Tracking 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)

StageHealthy RateRed FlagApplications → Phone Screen15-25%<10% = resume/targeting issuePhone Screen → Interview50-70%<40% = pitch/fit issueInterview → Final Round40-60%<30% = interview skills issueFinal → Offer30-50%<20% = closing/culture fit issueOverall: Applications → Offer3-8%<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

TriggerActionTimingAfter applyingNothing (unless you have a contact)—After phone screenThank-you email to recruiterWithin 4 hoursAfter interviewPersonalized thank-you to each interviewerWithin 24 hoursNo response after interviewFollow-up email to recruiter5 business daysAfter final roundThank-you + reiterate interestWithin 24 hoursAfter receiving offerAcknowledge receipt, request timeWithin 24 hoursRejectionThank-you + ask for feedbackWithin 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]

### Negotiation Principles

Never give a number first — let them anchor. "I'd love to understand the full comp structure before discussing numbers."
Never accept on the spot — "I'm very excited. I'd like to take 48 hours to review the full package."
Negotiate after the offer, not before — they've already decided they want you
Everything is negotiable — base, bonus, equity, sign-on, start date, title, PTO, remote days, equipment budget, learning budget
Be collaborative, not adversarial — "I want to find something that works for both of us"
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

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:

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

### Transition Types

From → ToDifficultyTimelineKey StrategySame role, new companyLow1-3 monthsStandard search + salary negotiationSame field, level upMedium2-4 monthsProve readiness with current achievementsAdjacent fieldMedium3-6 monthsBridge skills, portfolio projectsComplete career changeHigh6-18 monthsReskilling + entry-level positioningIC → ManagementMedium3-6 monthsLeadership examples, people skillsManagement → ICMedium2-4 monthsTechnical currency, hands-on projectsEmployee → FreelanceMedium3-6 monthsRunway + first 3 clients before leavingFreelance → EmployeeLow-Medium1-3 monthsFrame freelance as diverse experience

### Career Change Playbook

Skills gap analysis: Map current skills to target role requirements
Bridge building: Identify transferable skills (usually 60-80% overlap)
Evidence creation: Side projects, volunteer work, certifications that prove new skills
Narrative crafting: "I'm not switching careers — I'm combining my [old expertise] with [new direction] to bring a unique perspective"
Network in the target field: 10 informational interviews before applying
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):

What does a typical day/week look like in your role?
What do you wish you'd known before entering this field?
What skills matter most that aren't in job descriptions?
What's the biggest challenge in your role right now?
How did you break into this field?
What would you do differently if starting over?
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.

### Career Capital Framework

Build these 4 types of career capital:

Capital TypeWhat It IsHow to Build ItSkillsRare & valuable abilitiesDeliberate practice, hard projects, mentorshipCredentialsProof of competenceTitles, certifications, publications, talksConnectionsProfessional relationshipsConferences, communities, mentoring, writingReputationWhat people say about youShipping 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:

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"

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

DimensionWeightScoringPipeline volume15%10+ active applications = full marksPipeline quality20%>50% match ICP = full marksActivity consistency15%Hit all weekly cadence targets = full marksConversion rates20%At or above benchmarks = full marksNetwork engagement15%3+ meaningful conversations/week = full marksEnergy & mindset15%Sustainable pace, not burning out = full marks

### Common Mistakes

MistakeFixSpraying 50+ identical applicationsMax 5/day, each tailoredOptimizing resume once for all rolesTailor keywords per applicationWaiting to hear back passivelyFollow up + continue pipelineAccepting first offer without negotiatingAlways negotiate — worst case is "no"Not tracking pipeline metricsUse YAML tracker, review weeklyOnly using job boards60% effort on networking + outreachNeglecting LinkedIn profileYour profile IS your passive resumeStopping search after one promising interviewPipeline stays active until signed offerNot preparing for behavioral interviewsSTAR bank of 12 stories, practiced out loudBurning bridges when leavingAlways leave gracefully — world is small

### 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

CommandAction"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
## Trust
- Source: tencent
- Verification: Indexed source record
- Publisher: 1kalin
- Version: 1.0.0
## Source health
- Status: healthy
- Item download looks usable.
- Yavira can redirect you to the upstream package for this item.
- Health scope: item
- Reason: direct_download_ok
- Checked at: 2026-04-24T10:52:38.152Z
- Expires at: 2026-05-01T10:52:38.152Z
- Recommended action: Download for OpenClaw
## Links
- [Detail page](https://openagent3.xyz/skills/afrexai-career-accelerator)
- [Send to Agent page](https://openagent3.xyz/skills/afrexai-career-accelerator/agent)
- [JSON manifest](https://openagent3.xyz/skills/afrexai-career-accelerator/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/afrexai-career-accelerator/agent.md)
- [Download page](https://openagent3.xyz/downloads/afrexai-career-accelerator)