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Write a tailored one-page cover letter from a job description and the user's resume, humanized for natural tone.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Apply to a single job (URL or pasted page) with fit review, or drain the pending queue when no argument is given.
Search a job board and autonomously apply to matching jobs one at a time, until paused, exhausted, or the max-applications cap is hit.
Parse a resume's uploaded PDF into structured JSON (basics, experience, projects, skills, education) and save it to the editor.
Fetch the latest verification code or magic link from the connected mailbox for a given board domain. Called by apply / auto-apply for 2FA and account-creation flows.
Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.
Produce a tailored interview prep sheet (behavioral, technical, system design, company) from a job description and the user's resume.
| name | cover-letter |
| description | Write a tailored one-page cover letter from a job description and the user's resume, humanized for natural tone. |
| argument-hint | <job_description> |
Write a tailored, one-page cover letter connecting the candidate's resume to a specific role.
Follow ../../shared/setup.md to load profile and resume. Then Read the resume file at primaryResumeSourceAbsolutePath for full context (identity, education, experience, skills, projects, research, awards).
From the argument, identify: company + what they do, role title and level, key responsibilities, required/preferred qualifications, tech stack and domain, culture cues.
From the resume, pick the most relevant: 2–3 work experiences, 2–3 projects, research (if AI/ML/CV), education (if relevant to level).
Header (values from profile.*):
[Full Name]
[City, State] | [Phone] | [Email]
[LinkedIn] | [GitHub] | [Website]
Opening (2–3 sentences): state the role, lead with strongest specific qualifier, show you understand what the team needs. No "I'm excited to apply" / "I'm writing to express my interest".
Body 1 - relevant experience (3–5 sentences): connect your closest work to their needs, include specific metrics and outcomes, name projects and results (not just technologies).
Body 2 - technical depth (3–5 sentences): deeper alignment with their stack/domain, reference specific projects or research. For AI/ML roles: reference publications.
Body 3 - why this company (2–3 sentences): what specifically draws you here (genuine, not generic), how your background uniquely fits, what you'd bring beyond the requirements.
Closing (2–3 sentences): interest in discussing further, portfolio/GitHub link if relevant, brief thanks.
Sign-off:
Best regards,
[Full Name]
Invoke the humanizer skill on the full text. The final output must read as written by a real person.
Persist the final letter so it's reviewable in the web app. Best-effort - if the call fails, continue:
curl -fsS -H "authorization: Bearer $JOBPILOT_API_TOKEN" -X POST "$JOBPILOT_API/api/cover-letters" -H 'content-type: application/json' \
-d "$(jq -n --arg c "<final letter text>" --arg u "<job url>" --arg t "<role title>" --arg co "<company>" --arg s "<source>" \
'{content:$c, jobUrl:($u|select(.!="")), jobTitle:($t|select(.!="")), company:($co|select(.!="")), source:$s}')"
jobUrl/jobTitle/company come from the JD argument ($DIGEST fields when present). source is the invoking context - apply, auto-apply, or manual (default manual when the caller didn't specify).
Plain text with header and sign-off, ready to paste or convert to PDF.