Developed Docusaurus Documentation and Job Search Tools
- Day: 2025-07-11
- Time: 18:20 to 18:45
- Project: Dev
- Workspace: WP 2: Operational
- Status: In Progress
- Priority: MEDIUM
- Assignee: Matías Nehuen Iglesias
- Tags: Docusaurus, Job Search, Documentation, Automation, Python
Description
Session Goal:
The session aimed to enhance documentation processes using Docusaurus and develop job search automation tools.
Key Activities:
- Created a Docusaurus Markdown conversion template for thesis content, including frontmatter and scripted output logic.
- Developed a Python script (
thesis2docusaurus.py) for converting structured input into Docusaurus-compatible markdown pages. - Generated onboarding pages for a job search assistant application using Docusaurus.
- Outlined the features and benefits of a job search automation tool, focusing on job scraping and AI-driven ranking.
- Updated the progress of a structured writing sprint aligned with user profiles and complexity layering.
- Provided documentation for running the Job Explorer app via Streamlit.
- Established a file organization structure for documentation with a recommended numbering scheme.
- Provided instructions for setting up the Job Searcher tool locally using Python and Streamlit.
- Designed the Job Searcher Pipeline page to create a clear mental model of the job search process.
Achievements:
- Successfully created templates and scripts for Docusaurus documentation.
- Enhanced the job search tool with onboarding documentation and local setup guides.
- Established a structured approach to documentation file organization.
Pending Tasks:
- Finalize the Job Searcher Pipeline page for non-technical users.
- Continue the writing sprint to complete documentation for all user profiles.
Evidence
- source_file=2025-07-11.sessions.jsonl, line_number=6, event_count=0, session_id=ec7ace67ab150c4837fac0c1ca6c823047374a1526dccdb0218890b2b4892071
- event_ids: []