| name | jd-skills-extraction |
| description | Extracts a flat list of technical and soft skill keywords from job descriptions using canonical casing. Use when identifying all skills mentioned or implied by a JD for tagging and matching purposes. |
| metadata | {"author":"topcoder","version":"1.0","concern":"skill-keyword-extraction","priority":"high"} |
JD Skills Extraction
Extract a flat array of skill keyword strings from the rewritten job
description content. These keywords are used for tagging, search, and
candidate matching on the Topcoder platform.
What to Include
- Programming languages: TypeScript, JavaScript, Python, Java, Go, Rust, C#, etc.
- Frameworks: React, Angular, Vue, NestJS, Express, Django, Spring Boot, .NET, etc.
- Libraries & ORMs: Prisma, Sequelize, Mongoose, Redux, TailwindCSS, etc.
- Cloud platforms: AWS, GCP, Azure, Vercel, Heroku, DigitalOcean, etc.
- Databases: PostgreSQL, MongoDB, Redis, MySQL, DynamoDB, Elasticsearch, etc.
- DevOps & tools: Docker, Kubernetes, Terraform, GitHub Actions, Jenkins, etc.
- Protocols & standards: REST, GraphQL, gRPC, WebSocket, OAuth, JWT, OpenAPI, etc.
- Methodologies: Agile, Scrum, TDD, CI/CD, Microservices, etc.
- Soft skills: Communication, Problem Solving, Team Collaboration, Leadership, etc.
Canonical Casing Rules
Always use the official casing for technology names:
| Correct | Incorrect |
|---|
| TypeScript | typescript, Typescript, TS |
| JavaScript | javascript, Javascript, JS |
| PostgreSQL | postgresql, Postgres, postgres |
| NestJS | nestjs, Nest.js, nest |
| Node.js | nodejs, NodeJS, node |
| React | react, ReactJS, React.js |
| Vue | vue, VueJS, Vue.js |
| Angular | angular, AngularJS |
| Docker | docker |
| Kubernetes | kubernetes, K8s |
| OAuth | oauth, Oauth, oAuth |
| GraphQL | graphql, Graphql |
| MongoDB | mongodb, Mongodb, mongo |
| Redis | redis |
| AWS | aws, Aws |
| GCP | gcp |
| Azure | azure |
| REST | rest, Rest |
| CI/CD | cicd, Cicd, ci/cd |
| TailwindCSS | tailwindcss, Tailwind CSS |
For soft skills, use title case: "Problem Solving", "Team Collaboration".
Extraction Heuristics
Explicit Skills
Directly mentioned technologies and qualifications:
- "Experience with React and Node.js" →
["React", "Node.js"]
- "PostgreSQL database" →
["PostgreSQL"]
Implicit Skills
Technologies implied but not named directly:
- "REST API development" →
["REST"] (and the language/framework if stated)
- "containerized deployment" →
["Docker"] (unless another container tool is specified)
- "cloud infrastructure" → extract the specific platform if mentioned, otherwise omit
- "version control" →
["Git"]
- "CI/CD pipeline" →
["CI/CD"]
Compound Terms
Split combined technologies into separate entries:
- "React/Redux" →
["React", "Redux"]
- "Node.js with Express" →
["Node.js", "Express"]
- "AWS (S3, Lambda, DynamoDB)" →
["AWS", "Amazon S3", "AWS Lambda", "DynamoDB"]
Output Rules
- Return a flat array of strings.
- 5-15 keywords is ideal.
- No duplicates.
- Order: most relevant to the role first.
- Include both technical and soft skills when present in the source.
- Do NOT invent skills not supported by the source material.
