agent-parser
End-to-end resume parsing (detect format → extract fields). Uses a combination of format detection, text extraction, and LLM parsing to normalize resume data.
Best use case
agent-parser is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
End-to-end resume parsing (detect format → extract fields). Uses a combination of format detection, text extraction, and LLM parsing to normalize resume data.
Teams using agent-parser should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/agent-parser/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How agent-parser Compares
| Feature / Agent | agent-parser | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
End-to-end resume parsing (detect format → extract fields). Uses a combination of format detection, text extraction, and LLM parsing to normalize resume data.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Parser Agent
## Overview
The Parser Agent handles the ingestion of resume files. It follows a multi-step workflow:
1. Detects file format (`detect-resume-format`)
2. Extracts raw text (`extract-text-pdf`, `extract-text-docx`)
3. Sanitizes text (`sanitize-text`)
4. Parses identifying fields (`llm-parse-resume`)
## Workflow Definition
1. **Input**: Resume file path.
2. **Detection**: Call `detect-resume-format` script.
3. **Extraction**:
* If PDF: Call `extract-text-pdf`
* If DOCX: Call `extract-text-docx`
* If Unknown/Txt: Read file directly
4. **Sanitization**: Call `sanitize-text`.
5. **Parsing**: Call `llm-parse-resume`.
6. **Validation**: Call `schema-validate-resume`.
7. **Output**: Validated JSON object.Related Skills
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