job-description-analyzer
Skill1 starsChanged 6 months agoMITView on GitHub
Parses a raw job description into a structured TargetProfile — role, seniority, must-have vs nice-to-have requirements, hard/soft skills, responsibilities, ATS keywords, and a truthful crossover (their-term ↔ your-term) map. Distilled from "Resumes For Dummies" (AI-era ed.). Built for automated pipelines (e.g. JobHunter) as the shared front-end that feeds both resume tailoring and scoring.
5 other projects use a version of this.
Adopted by
Most recently taken up by
- sunil-kumarr/JobIttheir own version, first seen Nov 8, 2026
- ZoolCoder/scoutjobstheir own version, first seen Nov 1, 2026
- tstapler/dotfilestheir own version, first seen Oct 10, 2026
- opencue/cuecardstheir own version, first seen Aug 17, 2026
- Paramchoudhary/ResumeSkillstheir own version, first seen Mar 16, 2026
Other versions5 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 5
- Paramchoudhary/ResumeSkills★ 2.1ksame name
- tstapler/dotfiles★ 8same name
- opencue/cuecards★ 6same name
- ZoolCoder/scoutjobs★ 4same name
- sunil-kumarr/JobIt★ 1same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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
- resume-content-writerSkill
- resume-fit-scorerSkill
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 0 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 5 edited versions we read keep these.
0
Distinctive
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 32
Read guidelines.md — it routes from your task/symptom to the right files.
“Common” is measured: kept by at least 6 in 10 of the 5 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
job-description-analyzer
Converts a messy job posting into one clean, machine-usable TargetProfile: what's required vs preferred, the hard and soft skills, the responsibilities, the exact ATS keywords to mirror, the inferred seniority/focus, and a truthful crossover map. This is the shared source of truth so tailoring and scoring agree on the target. Built from "Resumes For Dummies" (AI-era ed.), chapters 1, 3, 5, 6.
Role in the JobHunter pipeline
[job-description-analyzer] → resume-content-writer → resume-fit-scorer
TargetProfile ───────────────┴───────────────────────┘
(one source of truth feeds both tailoring and scoring)See workflows/analyze-job-description.md for the full I/O contract and the TargetProfile schema.
Quick Start
- Read
guidelines.md— it routes from your task/symptom to the right files. - For an end-to-end analysis, follow
workflows/analyze-job-description.md. - Load only the reference files the guidelines point to.
- Emit a
TargetProfile(or the caller'soutput_schema); keep crossover mappings truthful.
Contents
References
| Category | Files | Purpose |
references/requirement-extraction/ | knowledge, rules, examples | JD anatomy; must vs nice; hard vs soft skills; seniority inference |
references/keywords-and-crossover/ | knowledge, rules, examples | ATS keywords; crossover mapping; over-cloning risk |
Workflows
| Task | Workflow |
| Analyze a JD into a structured TargetProfile | workflows/analyze-job-description.md |
Guidelines
See guidelines.md for task/symptom-based file selection, a decision tree, the full file index, and common combinations.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
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- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
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.

