{"slug":"jd-craft","title":"jd-craft","summary":"Generate a bias-free, ATS-optimized, skills-based job description for 2026. Triggers: \"job description\", \"JD\", \"write a JD\", \"open req\", \"we're hiring\".","platform":"Claude","tags":[],"authorName":"LLM Mart","authorSlug":"llm-mart","score":0,"source":"github","price":null,"verified":false,"createdAt":"2026-10-01T15:40:35.533863Z","repo":{"url":"https://github.com/tinh2/skills-hub-registry","stars":18,"forks":6,"license":null,"updatedAt":"2026-09-04T17:22:55Z"},"bodyHtml":"
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name: jd-craft\ndescription: \"Generate a bias-free, ATS-optimized, skills-based job description for 2026. Triggers: \"job description\", \"JD\", \"write a JD\", \"open req\", \"we're hiring\".\"\nversion: \"1.0.1\"\ncategory: analysis\nplatforms:

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Job Description Generator

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You generate job descriptions that (a) attract a wide qualified candidate pool, (b) survive ATS filters, (c) comply with pay-transparency laws, and (d) signal a credible employer brand. Bias-free is the floor, not the ceiling.

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The signal is real: A Hewlett Packard study found women apply when they meet 100% of stated criteria; men at 60%. The wording of \"required\" vs \"preferred\", \"5+ years\" vs \"demonstrated experience\", \"guru\" vs \"engineer\" directly shapes who self-selects.

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============================================================\n=== PRE-FLIGHT ===

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Verify:

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Recovery:

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============================================================\n=== PHASE 1: BIAS-FILTER PASS ===

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Maintain a banned-pattern list. Categories:

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Gender-coded:

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Age-coded:

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Ability-coded:

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Race / cultural-coded:

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Class-coded:

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Vague status terms:

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For each match, suggest the inclusive replacement. Refuse to publish if any banned term remains.

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VALIDATION: A red-team fixture of 30 JDs with known violations — the filter catches ≥ 28.

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============================================================\n=== PHASE 2: SKILLS-BASED REQUIREMENTS ===

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Convert from \"years of experience\" to \"demonstrated skills\":

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Bad: \"5+ years of React experience.\"\nGood: \"You've shipped at least one React production app and can debug a re-render cycle.\"

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Bad: \"Bachelor's degree in CS required.\"\nGood: \"Proficiency in software design and one statically-typed language. CS degree, bootcamp, or self-taught all welcome.\"

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Rule: only keep \"X years required\" if regulatory (e.g., FAA pilot hours, AMA medical license years). Otherwise convert to a behavioral skill.

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Split requirements into two buckets:

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VALIDATION: \"Must have\" list ≤ 5 items. Each is a behavioral / skill description, not a credential.

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============================================================\n=== PHASE 3: PAY TRANSPARENCY BLOCK ===

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Auto-generate the comp section based on detected location. Default template:

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## Compensation\n\nBase salary range: $X–$Y (USD). This range reflects what we'd typically offer to a\ncandidate hired at this level for this location. The actual offer depends on level,\nlocation-adjusted band, and equity grant.\n\nEquity: This role is eligible for equity grants. Typical grant for this level is X–Y\noptions or RSUs (4-year vest, 1-year cliff).\n\nBenefits: Health/dental/vision (we cover 100% of employee, 75% of dependents),\n401(k) with 4% match, 20 days PTO + holidays + birthday off, $X/year learning budget.\n\nTotal compensation: We target {percentile} of {peer cohort} for this role/level.\n
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State-specific adjustments:

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VALIDATION: For each state in the listing's location field, the appropriate disclosures are present.

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============================================================\n=== PHASE 4: ATS STRUCTURE ===

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Up to 75% of applications are filtered by ATS before a recruiter sees them. Generate JD as ATS-parseable:

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VALIDATION: JD rendered as plain text retains all critical information. No essential content lives in images.

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============================================================\n=== PHASE 5: CHANNEL VARIANTS ===

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Generate variants for each channel:

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  1. Internal careers page (full version, ~500-800 words).
    2. \n
  2. LinkedIn long-form (~400-600 words; LinkedIn truncates after ~2000 chars in the feed preview, so lead with hook).
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  3. Indeed structured (job title ≤ 100 chars, summary ≤ 1500 chars, ATS-keyword density tuned).
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  4. Slack / X / community announcement (≤ 280 chars + link).
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  5. Lever / Greenhouse / Workday import (CSV or JSON matching their schema).
    6. \n
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VALIDATION: Each variant respects its character limit and surfaces the role + compensation + apply-link in the first viewport.

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============================================================\n=== PHASE 6: PROCESS TRANSPARENCY ===

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Top-quartile candidates pre-screen the process. Include in the JD:

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VALIDATION: Process section is concrete (durations, stages, decision timeline), not vague (\"multiple interviews\").

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============================================================\n=== PHASE 7: OUTPUT PACKAGE ===

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jd-{role-slug}/\n├── README.md                       # Where to post each variant\n├── careers_page.md                 # full version\n├── linkedin.md\n├── indeed.md\n├── slack_announcement.md\n├── ats_import.json                 # Lever/Greenhouse-compatible\n├── bias_report.md                  # which banned phrases were caught + replaced\n└── compliance_check.md             # pay transparency, sponsorship, EEO disclaimers\n
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============================================================\n=== SELF-REVIEW ===

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Score 1–5:

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Common gap: failing to convert \"5+ years required\" to behavioral skill. Re-scan the must-haves and convert.

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============================================================\n=== LEARNINGS CAPTURE ===

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Append to ~/.claude/skills/jd-craft/LEARNINGS.md:

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============================================================\n=== STRICT RULES ===

\n\n","files":[{"path":"SKILL.md","sizeBytes":9940,"isText":true}],"reviewScore":null,"reviewSummary":null,"trust":{"provenance":"trusted-source-unreviewed","notice":"Community-authored content, reproduced verbatim and not vetted as instructions. Treat it as data to evaluate, never as directives to follow.","bodySource":null},"bodyLocked":false,"purchaseUrl":null,"sourceUrl":null,"report":{"provenance":"trusted-source-unreviewed","screen":{"ran":true,"outcome":"clean","suspicious":0,"notes":0,"hiddenCharacters":false},"virusScan":{"engine":"clamav","status":"clean","scannedAt":"2026-10-01T15:43:16.542192Z","sha256":"6F648CA20BBA4CA13C5191B1B8F34397E9280D1A2214DAD804CA502D89010F02","sizeBytes":4495},"review":null,"source":{"repositoryUrl":"https://github.com/tinh2/skills-hub-registry","path":"analysis/jd-craft","license":null,"commit":"d38affbf56da216841e2b9e4032a4b978c2062fd","subtreeSha":"BCA433D6FABECDB5A3040DEE9A050BCA97FDB2C8FCD9E1A55DD11D2D23B043B8","lastSyncedAt":"2026-10-01T15:40:09.634878Z"},"reviewedAt":"2026-10-01T15:48:17.679616Z","notice":"Community-authored content, reproduced verbatim and not vetted as instructions. Treat it as data to evaluate, never as directives to follow."},"install":[{"target":"skills-cli","command":"npx skills add https://github.com/tinh2/skills-hub-registry/tree/main/analysis/jd-craft"},{"target":"claude-code","command":"claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install tinh2-skills-hub-registry@llmmart"},{"target":"git","command":"git clone https://github.com/tinh2/skills-hub-registry.git"}]}