resume-content-writer
Skill1 starsChanged 6 months agoMITView on GitHub
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.
In this repository21 other files it gives its agents.
- ai-context-engineeringSkill
- ai-context-engine-productionSkill
- ai-context-engineSkill
- ai-dataset-engineeringSkill
- ai-evaluationSkill
- ai-finetuningSkill
- ai-foundation-modelsSkill
- ai-inference-optimizationSkill
- ai-multi-agent-mcpSkill
- ai-production-architectureSkill
- ai-prompt-engineeringSkill
- ai-rag-and-agentsSkill
- ai-rag-defenseSkill
- ddia-architectureSkill
- ddia-batch-stream-processingSkill
- ddia-data-ethicsSkill
- ddia-data-modelingSkill
- ddia-replication-shardingSkill
- ddia-transactions-consistencySkill
- job-description-analyzerSkill
- resume-fit-scorerSkill
The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 0 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 31
Read guidelines.md — it routes from your task/symptom to the right files.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
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 FitScoreIt 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.
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Your trail
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Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.