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tailor-resume
Choose the best existing resume base/variant for a job, or create a new tailored variant when nothing fits.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Choose the best existing resume base/variant for a job, or create a new tailored variant when nothing fits.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | tailor-resume |
| description | Choose the best existing resume base/variant for a job, or create a new tailored variant when nothing fits. |
| argument-hint | <digest-json | job-url | pasted-jd-text> [--base <resumeId>] |
Choose or produce a resume for a specific job. You decide reuse vs create; the user does not pre-select.
Follow ../../shared/setup.md. The profile response includes resumes (every base with label, hasData, variantCount, isPrimary).
Detect the argument shape:
{ → parse as digest JSON. No navigation, no snapshot.http → browser_navigate, then browser_snapshot the posting body (per ../../shared/browser-tips.md) and build the digest (../../shared/digest-schema.md) from it.From the digest (title, requirements[], responsibilities[], techStack[], yearsExperience, descriptionExcerpt), assemble:
title, domain (fintech/healthtech/devtools/…), standouts (clearance, on-call, on-site, …).roleFamily ∈ frontend | backend | fullstack | mobile | data | ml | devops | qa | other - match title + descriptionExcerpt against: frontend (frontend, ui, react, vue, angular), backend (backend, api, services), fullstack (full-stack), mobile (ios, android, react native, flutter), data (data engineer/scientist, analytics, etl), ml (ml, ai engineer, mlops), devops (devops, sre, platform, infrastructure), qa (qa, sdet, test engineer).seniority ∈ junior | mid | senior | staff | lead - from title (junior/entry → junior; senior/sr. → senior; staff → staff; lead/principal → lead; else mid). Cross-check yearsExperience: 0-2 junior, 3-5 mid, 6-9 senior, 10+ staff/lead.keywords - top 10 required-tech terms from techStack ∪ extracted from requirements. Lowercase, deduped, must-have ranked above nice-to-have.responsibilityTerms - top 5 verbs/nouns from responsibilities (design, mentor, migrate, on-call, …).Campaign choice wins. If --base <resumeId> was passed (the campaign's selected resume) and
that resume has hasData or a sourceFilename, use it as BASE_ID (skip scoring). Else primary
wins: if primaryResumeId is set and that resume has hasData or a sourceFilename,
use it as BASE_ID (skip scoring; Step 3 extracts content if missing). Otherwise score each
resumes entry (max 10):
| Signal | Points | Rule |
|---|---|---|
| Exact role-family | +4 | label maps to JD.roleFamily. |
| Adjacent family | +2 | frontend↔fullstack, backend↔fullstack, ml↔data, devops↔backend. Not both. |
hasData: true | +1 | Enables content scoring; cheaper to tailor. |
isPrimary: true | +1 | |
| JD keyword coverage | +0..+3 | If hasData, fetch base; round(3 × matched/10) over skills + projects + summary. |
| Recency | +1 | updatedAt within 90 days. |
Highest wins. Tie-break: primary → most recent → lowest id. If no candidate has hasData AND no sourceFilename, stop:
No usable base resume. Upload a PDF at <$JOBPILOT_WEB/resumes>, or fill a resume's editor manually, then re-run.
Let BASE_ID be the chosen id.
curl -fsS -H "authorization: Bearer $JOBPILOT_API_TOKEN" "$JOBPILOT_API/api/resumes/$BASE_ID"
If content is null, delegate to extract-resume so the logic stays in one place:
Run the
extract-resumeskill for$BASE_IDand wait for it to finish.
Refetch the base row afterward - Step 5 needs the saved content. If extract-resume stops because there's no sourceFilename, surface the same message and stop.
Skip this step when hasData: true.
curl -fsS -H "authorization: Bearer $JOBPILOT_API_TOKEN" "$JOBPILOT_API/api/resumes/$BASE_ID/variants"
For each variant, fetch GET /api/resumes/variants/<id> and compute reuseScore (0-100). Variants failing the role-family gate (different family AND not adjacent) score 0.
| Component | Max | Calculation |
|---|---|---|
| Keyword coverage | 40 | 40 × matched/10 of JD.keywords across skills + project keywords + summary + bullets. |
| Title similarity | 15 | 15 × Jaccard token overlap of JD.title vs variant.label, stripping engineer/senior/the/at/-. |
| Responsibility cover | 15 | 15 × matched/5 of JD.responsibilityTerms in summary + bullets. |
| Seniority alignment | 15 | Exact 15; one step off (mid↔senior, senior↔staff) 8; further 0. |
| Domain match | 5 | JD.domain appears in summary or any bullet. |
| Recency | 10 | ≤30d 10; ≤90d 7; ≤180d 4; else 0. |
Pick the highest scorer:
On reuse:
Reusing variant {id}: {label} (score {n}/100). $JOBPILOT_API/api/resumes/variants/{id}/pdf
Stop.
The server does all structural rewriting (skill ordering, bullet ranking) deterministically. You write only:
summary - ≤3 sentences targeting this role. Plain, specific. No clichés, no "passionate"/"results-driven" filler. No fabrication of experience, scope, or numbers.emphasizedTech - 4-8 lowercase tech terms from JD.keywords to surface first in skill groups.jobKeywords - optional, ~10 terms; defaults to emphasizedTech. Ranks experience/project bullets.label - "{Company} - {Title}" (short).jobUrl - when the argument was a URL or digest carried one.applicationId - when the JD URL matches an existing Application (GET /api/applied/check?url=… → .match.application.id).diffNotes - 1-3 sentences on what was emphasized and why.You may rephrase bullets on the top 1-2 roles to match the JD's wording. Omit when reordering alone suffices (the safe default).
bulletRewrites - [{ entryIndex, bullets: [{ original, tailored }] }]. Copy original verbatim from experience[entryIndex].bullets; rephrase tailored to lead with the JD-relevant outcome. Add no number, date, employer, tech, or scope not already in that bullet - it must hold up in an interview.rewordTopN - optional, default 2; allowed entryIndex is 0..rewordTopN-1.Server-enforced: 422 on a new number, an unknown original, or out-of-window entryIndex; non-blocking flags for tech terms absent from the resume. On 422, read details, fix the text, resend - never drop the guardrail.
curl -fsS -H "authorization: Bearer $JOBPILOT_API_TOKEN" -X POST "$JOBPILOT_API/api/resumes/$BASE_ID/tailor" \
-H 'content-type: application/json' \
-d "$(jq -n --arg summary "<2-3 sentence tailored summary>" \
--arg label "<Company> - <Title>" \
--arg jobUrl "<job-url-or-empty>" \
--argjson tech '["typescript","react","next.js","aws"]' \
--argjson rewrites '[{"entryIndex":0,"bullets":[{"original":"<verbatim base bullet>","tailored":"<rephrased to JD, no new facts>"}]}]' \
'{label:$label, jobUrl:($jobUrl|select(length>0)), emphasizedTech:$tech, jobKeywords:$tech, summary:$summary, bulletRewrites:$rewrites, diffNotes:"Surfaced React/Next.js ahead of other tech; reworded 1 recent bullet to the JD."}')"
Response { id, pdfUrl, rewordedBullets, flags }. Echo:
Created variant {id} from base {baseId} ({rewordedBullets} reworded). $JOBPILOT_API{pdfUrl}
If flags is non-empty, append: ⚠ verify - not elsewhere in your resume: {flags}.
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.
Write a tailored one-page cover letter from a job description and the user's resume, humanized for natural tone.
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.