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Resume content writer

Skill ebarti/skills/resume-content-writer

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 schemaFrom its SKILL.md

Install
npx -y skills add ebarti/skills --skill resume-content-writer

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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SKILL.md

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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

  1. Read guidelines.md — it routes from your task/symptom to the right files.
  2. For an end-to-end run, follow workflows/tailor-resume-content.md.
  3. Load only the reference files the guidelines point to (each category has knowledge.md, rules.md, examples.md).
  4. Ground every claim in the candidate's real history; conform output to the schema.

Contents

References

CategoryFilesPurpose
references/achievement-anatomy/knowledge, rules, examples, patternsDuty→achievement, CAR/PAR, quantification (#/%/$), bullet formulas
references/wow-words/knowledge, rules, examplesPower verbs by function; weak→strong phrasing
references/tailoring-to-role/knowledge, rules, examplesCrossover language, featuring relevant experience, skills selection
references/by-seniority/knowledge, rules, examplesNew-grad vs experienced framing
references/headline-and-summary/knowledge, rules, examplesHeadline + branding summary (vs weak objectives)
references/ai-writing-pitfalls/smellsAI-written resume anti-patterns + detection

Workflows

TaskWorkflow
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.

What ships with it: 19 files

89.5 KB alongside SKILL.md

references/

workflows/

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