resume-content-writer
Turns a candidate's real history into compelling, targeted, machine-usable resume content. It writes the headline, branding summary, skills section, and quantified achievement bullets — bent toward one job, calibrated to seniority and focus — and never fabricates experience. Built from "Resumes For Dummies" (AI-era ed.), chapters 3–7 & 9.
Role in the JobHunter pipeline
job-description-analyzer → [resume-content-writer] → resume-fit-scorer → (revise loop)
TargetProfile ResumeContent FitScore
It accepts a TargetProfile (from job-description-analyzer), a candidate's raw_experience, a focus, pinned must_include achievements, and an optional output_schema. It returns resume content conforming to that schema. See workflows/tailor-resume-content.md for the full I/O contract.
Quick Start
- Read
guidelines.md — it routes from your task/symptom to the right files.
- For an end-to-end run, follow
workflows/tailor-resume-content.md.
- Load only the reference files the guidelines point to (each category has
knowledge.md, rules.md, examples.md).
- Ground every claim in the candidate's real history; conform output to the schema.
Contents
References
| Category |
Files |
Purpose |
references/achievement-anatomy/ |
knowledge, rules, examples, patterns |
Duty→achievement, CAR/PAR, quantification (#/%/$), bullet formulas |
references/wow-words/ |
knowledge, rules, examples |
Power verbs by function; weak→strong phrasing |
references/tailoring-to-role/ |
knowledge, rules, examples |
Crossover language, featuring relevant experience, skills selection |
references/by-seniority/ |
knowledge, rules, examples |
New-grad vs experienced framing |
references/headline-and-summary/ |
knowledge, rules, examples |
Headline + branding summary (vs weak objectives) |
references/ai-writing-pitfalls/ |
smells |
AI-written resume anti-patterns + detection |
Workflows
| Task |
Workflow |
| Tailor full resume content for a job (headline, summary, skills, bullets) |
workflows/tailor-resume-content.md |
Guidelines
See guidelines.md for task-based and symptom-based file selection, a decision tree, the full file index, and common file combinations.
1---2name: resume-content-writer3description: Generates tailored, schema-conformant resume content — headline, branding summary, JD-matched skills section, and quantified achievement bullets — tuned to a target role, seniority, and focus, while honoring user-pinned "must-include" achievements. Distilled from "Resumes For Dummies" (AI-era ed.). Built for automated pipelines (e.g. JobHunter): consumes a TargetProfile and emits structured resume data. Use this skill when: - Tailoring a resume's content to a specific job description - Rewriting experience into quantified, action-verb-led achievement bullets - Writing a targeted headline / branding summary (replacing weak objectives) - Selecting and ordering a skills section to match a JD - Framing content by seniority (new-grad/thin experience vs senior/experienced) - Revising resume content from a scorer's prioritized fixes - Producing resume content that must conform to a caller-supplied JSON schema4---56# resume-content-writer78Turns a candidate's real history into compelling, **targeted, machine-usable** resume content. It writes the headline, branding summary, skills section, and quantified achievement bullets — bent toward one job, calibrated to seniority and focus — and never fabricates experience. Built from "Resumes For Dummies" (AI-era ed.), chapters 3–7 & 9.910## Role in the JobHunter pipeline1112```13job-description-analyzer → [resume-content-writer] → resume-fit-scorer → (revise loop)14 TargetProfile ResumeContent FitScore15```1617It accepts a `TargetProfile` (from `job-description-analyzer`), a candidate's `raw_experience`, a `focus`, pinned `must_include` achievements, and an optional `output_schema`. It returns resume content conforming to that schema. See `workflows/tailor-resume-content.md` for the full I/O contract.1819## Quick Start20211. Read `guidelines.md` — it routes from your task/symptom to the right files.222. For an end-to-end run, follow `workflows/tailor-resume-content.md`.233. Load only the reference files the guidelines point to (each category has `knowledge.md`, `rules.md`, `examples.md`).244. Ground every claim in the candidate's real history; conform output to the schema.2526## Contents2728### References2930| Category | Files | Purpose |31|----------|-------|---------|32| `references/achievement-anatomy/` | knowledge, rules, examples, patterns | Duty→achievement, CAR/PAR, quantification (#/%/$), bullet formulas |33| `references/wow-words/` | knowledge, rules, examples | Power verbs by function; weak→strong phrasing |34| `references/tailoring-to-role/` | knowledge, rules, examples | Crossover language, featuring relevant experience, skills selection |35| `references/by-seniority/` | knowledge, rules, examples | New-grad vs experienced framing |36| `references/headline-and-summary/` | knowledge, rules, examples | Headline + branding summary (vs weak objectives) |37| `references/ai-writing-pitfalls/` | smells | AI-written resume anti-patterns + detection |3839### Workflows4041| Task | Workflow |42|------|----------|43| Tailor full resume content for a job (headline, summary, skills, bullets) | `workflows/tailor-resume-content.md` |4445## Guidelines4647See `guidelines.md` for task-based and symptom-based file selection, a decision tree, the full file index, and common file combinations.
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