51mee-position-parse

What This Skill Does

The 51mee-position-parse skill is an intelligent agent tool designed for HR professionals, recruiters, and job seekers. It leverages advanced LLM capabilities to transform unstructured Job Description (JD) text into a clean, machine-readable JSON object. By strictly following a predefined TypeScript interface, it ensures that your data extraction is consistent, reliable, and ready for integration into downstream recruiting platforms or analytical dashboards.

Installation

To integrate this skill into your environment, use the OpenClaw command-line interface. Run the following command in your project terminal: clawhub install openclaw/skills/skills/51mee-com/51mee-position-parse Ensure your agent environment is configured with the necessary LLM API keys to enable the parsing logic.

Use Cases

• Automated Resume Matching: Parse JDs into structured data to automatically filter or rank incoming resumes based on skill requirements and years of experience.
• Market Analysis: Extract core requirements from multiple JD sources to identify common trends, desired tech stacks, and salary benchmarks for specific roles.
• JD Generation & Auditing: Use the output structure to verify if your own job postings contain all necessary fields (e.g., salary, education, specific soft skills) before publishing.
• Career Transition Planning: Job seekers can use this skill to extract the 'essential skills' from a target job listing to create a personalized study roadmap.

Example Prompts

1. "Please analyze the following job description for a Senior Backend Engineer and give me a structured breakdown of the required skills and responsibilities: [Paste JD Text Here]"
2. "I want to know the core requirements for this position. Extract the data into the PositionInfo format: [Paste JD Text Here]"
3. "Analyze the JD I just pasted and highlight the top 3 critical skills I need to master to be qualified: [Paste JD Text Here]"

Tips & Limitations

• Quality Matters: The precision of the output is directly correlated to the quality of the input text. If the source JD is vague or poorly formatted, the agent might return 'null' for certain fields.
• Strict Parsing: The skill is configured to avoid hallucinations; it will prioritize 'null' over guessing values that are not explicitly present in the source text.
• Data Structure: The output strictly adheres to the PositionInfo interface. Ensure any code integrating this skill is prepared to handle null values for optional fields like company scale or industry.