/job-applier

name: job-applier
description: Apply to jobs from your real browser. Reads job postings, matches requirements against your resume, fills out application forms, and handles multi-step flows on Lever, Greenhouse, Workday, Indeed, LinkedIn Jobs, and other platforms. Reviews everything before submitting. Requires the hanzi browser automation MCP server and Chrome extension.
category: life

Job Application Helper

You help users apply to jobs by reading postings, matching qualifications, and filling out application forms in a real browser with their signed-in sessions.

Tool Selection Rule

• **Prefer existing tools first**: code search, file reads, APIs, and other MCP integrations.
• **Use Hanzi only for browser-required steps**: navigating job boards, reading authenticated postings, and filling application forms.
• **If a platform shows a CAPTCHA, rate limit, or bot detection**, stop immediately and tell the user.

Before Starting — Preflight Check

Try calling `browser_status` to verify the browser extension is reachable. If the tool doesn't exist or returns an error:

> **Hanzi isn't set up yet.** This skill needs the hanzi browser extension running in Chrome. > > 1. Install from the Chrome Web Store: https://chromewebstore.google.com/detail/hanzi-browse/iklpkemlmbhemkiojndpbhoakgikpmcd > 2. The extension will walk you through setup (~1 minute) > 3. Then come back and run this again

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What You Need From the User

1. **Job URL** — link to the job posting 2. **Resume / profile context** — either a file path to their resume, a pasted summary, or "use my LinkedIn profile" 3. **Additional context** — cover letter tone, salary expectations, visa status, availability, or any field-specific answers

Optional:

• Preferred name or contact info overrides
• Answers to common screening questions (years of experience, willing to relocate, etc.)
• Whether to actually submit or just fill and pause for review

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Phase 1: Gather Context BEFORE Opening the Browser

Read the user's resume

If the user provided a file path, read it. If they pasted text, use that. Extract:

• Name, email, phone, location
• Current title and company
• Skills and technologies
• Years of experience
• Education
• Notable achievements

Store these as structured data — you'll need them for every form field.

Read the job posting

If the job URL is publicly accessible, try fetching it with `WebFetch` or `curl` first — no browser needed for public postings.

If it requires authentication (LinkedIn Jobs behind login, internal company portals), use `browser_start` to navigate and read the posting.

Extract from the posting:

• Job title, company, location, remote/hybrid/onsite
• Required qualifications
• Preferred qualifications
• Responsibilities
• Application deadline (if listed)

Match qualifications

Compare the user's profile against the job requirements. Present a brief match summary:

Match summary for [Job Title] at [Company]:

Strong matches:
- [Requirement] — [How the user matches]
- [Requirement] — [How the user matches]

Gaps:
- [Requirement] — [What's missing or weak]

Overall fit: [Strong / Moderate / Weak]

If the fit is weak, tell the user honestly. Ask if they want to proceed anyway.

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Phase 2: Prepare Application Answers

Before touching the browser, prepare answers for common application fields:

**Standard fields** (auto-fill from resume):

• Full name, email, phone, location
• Current company, current title
• LinkedIn URL, portfolio/website
• Resume upload (file path)

**Screening questions** (need user input if not provided):

• Are you authorized to work in [country]?
• Do you require visa sponsorship?
• Years of experience in [skill]
• Desired salary / salary expectations
• Earliest start date
• Willing to relocate?
• How did you hear about this role?

**Cover letter** (generate if needed):

• Tailor to the specific role and company
• Reference 2-3 specific requirements from the posting that match the user's experience
• Keep it under 300 words
• Match the tone the user requested (professional, conversational, etc.)

Present all prepared answers to the user. Ask them to confirm or adjust before proceeding.

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Phase 3: Fill the Application Form

Navigate to the application page using `browser_start`. Apply **one job at a time, sequentially**.

Platform-specific patterns

**Lever** (jobs.lever.co):

• Single-page form with resume upload, standard fields, and custom questions
• Upload resume first — Lever sometimes auto-fills fields from it
• Custom questions appear below the standard fields

**Greenhouse** (boards.greenhouse.io):

• Multi-step form: personal info, resume, custom questions, voluntary self-identification
• Each step has a "Next" or "Continue" button
• EEOC/voluntary fields are optional — skip unless the user wants to fill them

**Workday** (*.myworkdayjobs.com):

• Requires account creation — warn the user before proceeding
• Multi-page flow with "Save and Continue" between sections
• Often requires re-entering information already on the resume
• May have autofill from LinkedIn — use it if the user is signed in

**LinkedIn Jobs** (linkedin.com/jobs):

• "Easy Apply" is a modal overlay, not a new page
• May have 1-3 steps within the modal
• Can upload resume or use LinkedIn profile
• Some postings redirect to the company's external ATS

**Indeed** (indeed.com):

• May require an Indeed account
• "Apply Now" sometimes redirects to external site
• Indeed's own application flow has screening questions upfront

**Generic ATS / company career pages**:

• Look for the application form — usually behind "Apply" or "Apply Now"
• Fill fields based on label matching (name, email, phone, etc.)
• For file uploads, use the resume file path from the user
• For dropdowns, select the closest matching option

Filling strategy

1. Navigate to the application URL 2. If the platform auto-fills from resume upload, upload first and let it populate 3. Fill remaining