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/career-ops                     → Show all available modes
/career-ops {job URL or JD}     → Full auto-pipeline: evaluate + PDF + tracker entry
/career-ops scan                → Scan pre-configured portals for new offers
/career-ops pdf                 → Generate ATS-optimized CV for last evaluated offer
/career-ops batch               → Batch evaluate multiple offers in parallel
/career-ops tracker             → View application pipeline status
/career-ops apply               → AI-assisted application form filling
/career-ops pipeline            → Process all pending URLs in queue
/career-ops contacto            → Generate LinkedIn outreach message
/career-ops deep                → Deep company research report
/career-ops training            → Evaluate a course or certification
/career-ops project             → Evaluate a portfolio project fit

https://boards.greenhouse.io/anthropic/jobs/12345

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modes/
├── _shared.md      # Shared context injected into every mode — customize this first
├── oferta.md       # /career-ops {JD} — full evaluation pipeline
├── pdf.md          # /career-ops pdf — PDF CV generation
├── scan.md         # /career-ops scan — portal scanner
├── batch.md        # /career-ops batch — parallel evaluation
├── tracker.md      # /career-ops tracker — pipeline viewer
├── apply.md        # /career-ops apply — form filling
├── pipeline.md     # /career-ops pipeline — process queue
├── contacto.md     # /career-ops contacto — LinkedIn outreach
├── deep.md         # /career-ops deep — company research
├── training.md     # /career-ops training — cert evaluation
└── project.md      # /career-ops project — portfolio project fit

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cd dashboard
go build -o career-dashboard .
./career-dashboard

// dashboard/main.go — entry point
package main

import (
    tea "github.com/charmbracelet/bubbletea"
    "github.com/charmbracelet/lipgloss"
)

func main() {
    p := tea.NewProgram(initialModel(), tea.WithAltScreen())
    if _, err := p.Run(); err != nil {
        log.Fatal(err)
    }
}

// dashboard/model.go — core data model
package main

import "time"

type Application struct {
    ID          string    `json:"id"`
    Company     string    `json:"company"`
    Role        string    `json:"role"`
    Score       string    `json:"score"` // A, B+, B, C, D, F
    Status      string    `json:"status"`
    URL         string    `json:"url"`
    ReportPath  string    `json:"report_path"`
    PDFPath     string    `json:"pdf_path"`
    CreatedAt   time.Time `json:"created_at"`
    UpdatedAt   time.Time `json:"updated_at"`
    Archetype   string    `json:"archetype"` // LLMOps, Agentic, PM, SA...
    CompRange   string    `json:"comp_range"`
    Notes       string    `json:"notes"`
}

type Model struct {
    applications []Application
    filtered     []Application
    cursor       int
    activeTab    int
    sortMode     int
    grouped      bool
    preview      string
    showPreview  bool
    width        int
    height       int
}

// dashboard/data.go
package main

import (
    "encoding/csv"
    "os"
    "path/filepath"
)

func loadApplications(dataDir string) ([]Application, error) {
    tsvPath := filepath.Join(dataDir, "pipeline.tsv")
    f, err := os.Open(tsvPath)
    if err != nil {
        return nil, err
    }
    defer f.Close()

    r := csv.NewReader(f)
    r.Comma = '\t'
    r.LazyQuotes = true

    records, err := r.ReadAll()
    if err != nil {
        return nil, err
    }

    var apps []Application
    for _, record := range records[1:] { // skip header
        if len(record) < 8 {
            continue
        }
        apps = append(apps, Application{
            ID:      record[0],
            Company: record[1],
            Role:    record[2],
            Score:   record[3],
            Status:  record[4],
            URL:     record[5],
        })
    }
    return apps, nil
}

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#!/usr/bin/env bash

# Launch sub-agent for each URL
claude -p "$(cat $PROMPT_FILE)\n\nEvaluate this offer: $url" \
    --output-format json \
    >> ../data/batch-results.jsonl &

# Throttle parallelism
while [[ $(jobs -r | wc -l) -ge $MAX_PARALLEL ]]; do
    sleep 2
done

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// scripts/generate-pdf.js
const { chromium } = require('playwright');
const fs = require('fs');
const path = require('path');

async function generatePDF(htmlContent, outputPath) {
  const browser = await chromium.launch();
  const page = await browser.newPage();
  
  await page.setContent(htmlContent, { waitUntil: 'networkidle' });
  
  await page.pdf({
    path: outputPath,
    format: 'A4',
    margin: { top: '20mm', bottom: '20mm', left: '15mm', right: '15mm' },
    printBackground: true,
  });
  
  await browser.close();
  console.log(`PDF generated: ${outputPath}`);
}

// Usage
const template = fs.readFileSync('templates/cv-template.html', 'utf8');
const company = process.argv[2] || 'company';
const role = process.argv[3] || 'role';
const outputPath = path.join('output', `${company}-${role}.pdf`);

generatePDF(template, outputPath);

data/
├── pipeline.tsv          # Main tracker — all applications
├── batch-results.jsonl   # Batch evaluation outputs
└── urls-pending.txt      # Queue for /career-ops pipeline

reports/
└── {company}-{role}-{date}.md   # Full evaluation reports

output/
└── {company}-{role}.pdf         # Generated CVs

id	company	role	score	status	url	archetype	comp_range	created_at	updated_at	report_path	pdf_path
abc123	Anthropic	AI Engineer	A	applied	https://...	LLMOps	$150k-$200k	2026-04-05	2026-04-05	reports/anthropic-ai-engineer.md	output/anthropic-ai-engineer.pdf

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cd dashboard
go mod tidy
go build -o career-dashboard .

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career-ops/
├── CLAUDE.md                    # Agent instructions (read by Claude Code)
├── cv.md                        # YOUR CV in markdown — create this
├── article-digest.md            # Your proof points / portfolio (optional)
├── config/
│   └── profile.example.yml      # Copy to profile.yml and fill out
├── modes/                       # 14 Claude skill definitions
│   ├── _shared.md               # Shared context — customize first
│   └── *.md                     # One file per /career-ops command
├── templates/
│   ├── cv-template.html         # ATS CV template (Space Grotesk + DM Sans)
│   ├── portals.example.yml      # Copy to portals.yml
│   └── states.yml               # Pipeline status definitions
├── batch/
│   ├── batch-prompt.md          # Self-contained worker prompt for sub-agents
│   └── batch-runner.sh          # Parallel orchestrator
├── dashboard/                   # Go TUI (Bubble Tea + Lipgloss)
│   ├── main.go
│   ├── model.go
│   ├── data.go
│   └── go.mod
├── fonts/                       # Space Grotesk + DM Sans woff2 files
├── data/                        # Runtime data — gitignored
├── reports/                     # Evaluation reports — gitignored
├── output/                      # Generated PDFs — gitignored
├── docs/
│   ├── SETUP.md
│   ├── CUSTOMIZATION.md
│   └── ARCHITECTURE.md
└── examples/                    # Sample CV, report, proof points