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An agent-led job application workflow and local progress-tracking dashboard. It works with any AI coding agent that can read a file and follow written instructions (Claude Code, Codex CLI, Cursor, etc.) — there's no special integration required, you just point the agent at SKILL.md and tell it to follow the workflow. It turns scattered job hunting into a repeatable system: candidate profile, screening rules, resume strategy, application execution, blocker triage, follow-up, and a browser-based dashboard to see it all at a glance.
This is not a one-click auto-apply bot. It is a structured workflow plus explicit safety boundaries — the agent stops and asks before guessing anything identity-, legal-, or compensation-related, and before it clicks final submit on any application.
SKILL.md Core agent workflow and safety contract — start here
references/
setup-workflow.md Step-by-step onboarding the agent should follow
application-playbook.md Browser/ATS handling playbook (forms, uploads, CAPTCHA, etc.)
safety-and-boundaries.md Privacy, consent, and what should never be automated
templates/
candidate_profile.template.json Your facts: identity, contact, work authorization, targets
application_rules.template.md What to prioritize, consider, skip, or hand off to you
resume_routing.template.md Which resume/version to use for which role family
answer_bank.template.md Reusable truthful answers for common application questions
experience_bank.template.md Which internships/projects to feature per role family and JD
dashboard-template/ Empty CSV dashboard + field reference (see its README.md)
dashboard/ A ready-to-run local dashboard (same CSV schema as the template)
server.js Zero-dependency static file server (Node.js, no npm install)
dashboard.html The dashboard UI itself
start-dashboard.bat / .sh One-click launcher (Windows / macOS-Linux)
*.csv Empty starter data files