Scan Job Portals Automatically1 skill
Scans 45+ pre-configured job portals and general job boards to discover new offers matching your target roles.
Career Blueprint
Safety checkedA suite of 15+ skills for AI coding CLIs that turns job search into a structured pipeline: discovery, evaluation, document generation, and tracking.
Copy this prompt and paste it into your AI agent to install.
Runs your entire job search as one connected system instead of juggling spreadsheets, manual evaluations, and scattered documents. Because the skills share your CV and profile context, each step builds on the last, from portal scanning straight through to interview preparation instead of starting cold each time.
Once set up, you work through parallel domains: 1. Scan job portals (Greenhouse, Ashby, Lever, 45+ companies) to build a pipeline. 2. Paste a job URL to evaluate it against your CV in 7 blocks (match, gaps, level strategy, comp research, customization, interview prep, and posting legitimacy). 3. Generate ATS-optimized CVs and cover letters tailored per JD. 4. Track applications, process offers in batch, and prep for interviews using accumulated STAR stories. Output: a pipeline from discovery to negotiation, with zero manual spreadsheet work.
Scans 45+ pre-configured job portals and general job boards to discover new offers matching your target roles.
Evaluates a job description against your CV using a 7-block scoring system that rates match, gaps, level strategy, compensation, customization needs, interview prep, and posting legitimacy.
Generates ATS-optimized CVs and cover letters tailored to each job description with keyword injection and personalized framing.
Fills application forms with AI-generated answers, tracks application status, and generates company-specific interview preparation reports with mapped STAR stories.
Processes 10+ job offers in parallel using headless workers, with resumable state and atomic report numbering.
Maintains a single source of truth for all applications with deduplication, status normalization, liveness checks, and pattern analysis.
Each job moves from discovery to evaluation to application with context carried throughout, so you spend time on the few roles worth your time instead of evaluating everything.
Requires Node.js 16+ (Playwright needs native module support for PDF generation and headless browser control). Works with any agent-skill-standard CLI (Claude Code, OpenCode, Codex, Qwen, Copilot, Antigravity CLI, Grok Build CLI). Playwright needs Chromium installed for PDF generation and liveness verification: npx playwright install chromium --with-deps.
AI evaluations are recommendations, not truth. Review all output before submitting. The system does not auto-submit applications; you always approve before sending. Career-ops is designed for quality over quantity: it strongly recommends against applying to roles scoring below 4.0/5.
Structured Evaluation
6-block assessment system (role match, CV fit, level strategy, compensation, customization, interview prep, legitimacy check) with A-F scoring
Tailored Document Generation
ATS-optimized CVs and cover letters auto-generated per job with JD keyword injection and personalized framing
Portal Scanning
Auto-scans 45+ pre-configured companies across Greenhouse, Ashby, Lever, and custom portals with zero-token local parsing
Batch Processing
Parallel evaluation of 10+ offers with headless workers and resumable state tracking
Interview Preparation
Accumulated STAR+Reflection story bank that builds across evaluations, mapped to JD requirements
Skip the qualification forms that make prospects feel screened and instead guide them through natural conversation to book only ready leads, freeing you from hours of manual sorting. Multiple ad campaigns funnel into one system that routes qualified prospects through tailored nurture sequences and books calendar slots automatically.
Eliminate manual data entry between your CRM and operational system by automating two-way syncing even when the latter cannot send webhooks. Daily change detection captures edits made directly in your system of record and pushes them to your CRM, keeping both platforms current and your team working with trusted data.
Stop losing cross-brand leads that die because customers ask about the wrong company's product on the wrong website. One intelligent chatbot reads what visitors actually want and routes their inquiries to the correct brand's pipeline with full context intact.