resume-fit-scorer
Judges a resume against one job — harshly, on a 0–10 scale — and explains exactly why. It scores 6 weighted dimensions, detects red flags, computes must-have coverage, and returns a critique plus impact-ordered fixes that the writer can act on. Built from "Resumes For Dummies" (AI-era ed.), chapters 1, 2, 3, 5, 6, 10, 15, 16, 18.
Role in the JobHunter pipeline
job-description-analyzer → resume-content-writer → [resume-fit-scorer] → (revise loop)
TargetProfile ResumeContent FitScore ──┐
▲ │ prioritized_fixes
└──────────────────────────────┘
It accepts a resume (plain text or resume-content-writer output) + a TargetProfile, and returns a FitScore. See workflows/score-resume-against-jd.md for the full I/O contract and the rubric.
Default rubric (overridable via weights)
| Dimension |
Weight |
| JD match |
30% |
| Achievement strength |
25% |
| Targeting & focus |
15% |
| ATS parseability |
10% |
| Red flags |
10% |
| Language |
10% |
Verdicts use threshold comparisons on the real-valued overall, not integer-rounded bands.
| Overall |
Verdict |
< 3.0 |
Trash |
>= 3.0 and < 5.0 |
Weak |
>= 5.0 and < 7.0 |
OK |
>= 7.0 and < 9.0 |
Strong |
>= 9.0 |
Excellent |
Calibrated harshly: a generic, untargeted resume should land 3–5, not 7.
Quick Start
- Read
guidelines.md — it routes from your task/symptom to the right files.
- For an end-to-end score, follow
workflows/score-resume-against-jd.md.
- Load only the reference files the guidelines point to.
- Compute the weighted overall, apply red-flag/missing-must-have ceilings, and return actionable fixes.
Contents
References
| Category |
Files |
Purpose |
references/scoring-rubric/ |
knowledge, rules, examples |
The 6 dimensions, weights, 0–10 bands, weighted formula, calibration |
references/jd-match/ |
knowledge, rules, examples |
The 30% dimension: ATS + glance + decision-maker screening, coverage |
references/red-flags/ |
smells, checklist |
Red-flag catalog + fast scan / auto-reject criteria |
Workflows
| Task |
Workflow |
| Score a resume against a JD (0–10 + critique + fixes) |
workflows/score-resume-against-jd.md |
Guidelines
See guidelines.md for task/symptom-based file selection, a decision tree, the full file index, and common combinations.
1---2name: resume-fit-scorer3description: Scores how well a resume fits a specific job description on a 0–10 scale across 6 weighted dimensions (JD match, achievement strength, targeting, ATS-parseability, red flags, language), returns a brutally honest critique, and emits structured prioritized fixes. Distilled from "Resumes For Dummies" (AI-era ed.). Built for automated pipelines (e.g. JobHunter) as the verifier in a write→score→revise loop. Use this skill when: - Gating whether a tailored resume is good enough to submit - Producing a 0–10 fit score with per-dimension sub-scores - Generating an actionable critique + prioritized fixes for revision - Ranking multiple resume variants against one JD - Auditing a resume for ATS or red-flag risk before applying - Checking which JD must-haves a resume fails to cover4---56# resume-fit-scorer78Judges a resume against one job — harshly, on a 0–10 scale — and explains exactly why. It scores 6 weighted dimensions, detects red flags, computes must-have coverage, and returns a critique plus impact-ordered fixes that the writer can act on. Built from "Resumes For Dummies" (AI-era ed.), chapters 1, 2, 3, 5, 6, 10, 15, 16, 18.910## Role in the JobHunter pipeline1112```13job-description-analyzer → resume-content-writer → [resume-fit-scorer] → (revise loop)14 TargetProfile ResumeContent FitScore ──┐15 ▲ │ prioritized_fixes16 └──────────────────────────────┘17```1819It accepts a resume (plain text or `resume-content-writer` output) + a `TargetProfile`, and returns a `FitScore`. See `workflows/score-resume-against-jd.md` for the full I/O contract and the rubric.2021## Default rubric (overridable via `weights`)2223| Dimension | Weight |24|---|---|25| JD match | 30% |26| Achievement strength | 25% |27| Targeting & focus | 15% |28| ATS parseability | 10% |29| Red flags | 10% |30| Language | 10% |3132Verdicts use threshold comparisons on the real-valued overall, not integer-rounded bands.3334| Overall | Verdict |35|---|---|36| `< 3.0` | Trash |37| `>= 3.0` and `< 5.0` | Weak |38| `>= 5.0` and `< 7.0` | OK |39| `>= 7.0` and `< 9.0` | Strong |40| `>= 9.0` | Excellent |4142Calibrated harshly: a generic, untargeted resume should land **3–5**, not 7.4344## Quick Start45461. Read `guidelines.md` — it routes from your task/symptom to the right files.472. For an end-to-end score, follow `workflows/score-resume-against-jd.md`.483. Load only the reference files the guidelines point to.494. Compute the weighted overall, apply red-flag/missing-must-have ceilings, and return actionable fixes.5051## Contents5253### References5455| Category | Files | Purpose |56|----------|-------|---------|57| `references/scoring-rubric/` | knowledge, rules, examples | The 6 dimensions, weights, 0–10 bands, weighted formula, calibration |58| `references/jd-match/` | knowledge, rules, examples | The 30% dimension: ATS + glance + decision-maker screening, coverage |59| `references/red-flags/` | smells, checklist | Red-flag catalog + fast scan / auto-reject criteria |6061### Workflows6263| Task | Workflow |64|------|----------|65| Score a resume against a JD (0–10 + critique + fixes) | `workflows/score-resume-against-jd.md` |6667## Guidelines6869See `guidelines.md` for task/symptom-based file selection, a decision tree, the full file index, and common combinations.
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