An intelligent utility that extracts structured metadata and core requirements from raw job description text.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install 51mee-position-parse
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install 51mee-position-parse using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is 51mee Position Parser?
The 51mee Position Parser is a highly specialized AI agent skill designed to streamline the recruitment and job analysis workflow. By acting as a digital position analysis expert, it leverages advanced large language models within the ecosystem of Openclaw Skills to parse through messy, unstructured job descriptions (JDs). It identifies and categorizes critical information such as technical requirements, salary bounds, and educational benchmarks with high precision.
This skill is particularly valuable for developers and HR tech professionals who need to convert human-readable job postings into machine-readable formats. It ensures that every analysis is consistent, strictly following a defined TypeScript schema to maintain data integrity across various processing pipelines.
51mee Position Parser Use Cases
- Automating the ingestion of job postings into recruitment databases or applicant tracking systems.
- Conducting market research to analyze salary trends and skill demand within specific industries.
- Enhancing job boards by automatically generating tags, categories, and structured filters from raw text.
- Pre-screening job requirements to help candidates or recruiters quickly identify essential versus optional skills.
How 51mee Position Parser Works
- The user provides a text block containing a job description or position requirements.
- The skill triggers a sophisticated LLM prompt that adopts the persona of a professional Position Analysis Expert.
- The AI maps the text against a standardized PositionInfo interface, extracting fields like company scale, industry, and specific skill arrays.
- The system validates the extracted data, ensuring that missing information is explicitly marked as null to prevent hallucinations.
- A structured JSON object or a formatted Markdown report is returned to the user or the calling application.
51mee Position Parser Setup
To integrate this skill into your workflow, ensure your environment is configured for Openclaw Skills. Install the package via the CLI:
openclaw install 51mee-position-parse
Once installed, you can invoke the parser by passing any job description text directly to your AI agent.
51mee Position Parser Data Schema & Taxonomy
The skill organizes extracted data into a strict hierarchy to ensure compatibility with other Openclaw Skills tools:
| Object | Fields | Description |
|---|---|---|
| Basic Info | positionName, positionType, experienceRequired | Core role identification and seniority. |
| Salary | min, max | Numerical salary range extracted from the text. |
| Company | name, industry, scale | Contextual information about the hiring entity. |
| Requirements | skills, responsibilities, softSkills | Categorized lists of what the role entails. |
| Metadata | keywords | A string array of optimized search terms for the role. |
51mee Position Parser Advanced Features
- Zero-hallucination logic that strictly uses null for missing fields instead of making up data.
- Automatic classification of technical hard skills versus interpersonal soft skills.
- Standardized TypeScript interface support for seamless developer integration.
- Dual-output support providing both raw JSON for systems and Markdown reports for human review.
SKILL.md
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