51mee-resume-parse

What This Skill Does

The 51mee-resume-parse skill serves as a high-precision document intelligence engine specifically tailored for the human resources and recruitment domain. It leverages advanced large language models to ingest unstructured resume files in formats including PDF, DOC, DOCX, JPG, and PNG. By converting these diverse file types into a standardized, machine-readable JSON structure, the skill eliminates the manual drudgery of data entry. It extracts comprehensive biographical details, contact information, career history, project experience, and academic backgrounds according to a rigorous TypeScript schema. This enables recruiters and developers to integrate resume data directly into ATS systems or analytical dashboards with perfect consistency.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/51mee-com/51mee-resume-parse

Use Cases

• Automated Screening: Instantly extract candidate information from hundreds of incoming email attachments during a high-volume recruitment cycle.
• Database Normalization: Standardize resume formats from various sources into a unified database structure for better searchability and internal talent matching.
• Quick Summarization: Generate a structured 'candidate cheat sheet' for hiring managers to quickly review core skills and experience at a glance.
• Application Integration: Feed extracted data into automated pipeline tools to schedule interviews or perform initial background verification checks.

Example Prompts

1. "Please analyze the attached PDF resume and extract the key experience and contact details into a structured report."
2. "I just uploaded three candidate resumes. Can you parse them and compare their professional skills and total years of work experience?"
3. "Extract the education and project details from this document, specifically highlighting the technologies used."

Tips & Limitations

• File Quality: For image-based resumes (JPG/PNG), ensure the text is clear and well-lit to maximize extraction accuracy. Scanned documents with poor resolution may result in missed data.
• JSON Output: The output is strictly formatted. If you require a different structure, ensure your downstream systems are prepared to handle the standard ResumeInfo schema provided.
• Security: As with all data-sensitive tasks, ensure that you have the appropriate permissions and data privacy agreements in place before processing PII (Personally Identifiable Information) from candidate documents.
• Field Handling: The skill is configured to return 'null' for missing fields rather than guessing information. Trust the JSON structure's integrity as a source of truth for your data pipelines.