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job-search-module

Locate job folders on network drives using index-first lookup with parallel search fallback.

Updated Aug 23, 2026
Search Tags:#indexing#job search#cli tool#file lookup#network drive#python module
One-click install
npx skills add https://github.com/DS-codi/Project-Memory-MCP --skill job-search-module
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: job-search-module
Source: https://github.com/DS-codi/Project-Memory-MCP/tree/main/skills/job-search-module
Command: npx skills add https://github.com/DS-codi/Project-Memory-MCP --skill job-search-module

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a highly efficient way to locate job folders on network drives, overcoming the slowness of traditional file system searches.

Core Features & Use Cases

  • Fast Index-Based Lookup: Quickly find job folders using an optimized index.
  • Parallel Search Fallback: Automatically performs a slower, but comprehensive, parallel search if the index doesn't contain the job.
  • Use Case: When you need to quickly access a specific job's project files on a shared network drive, this skill will locate it in milliseconds if indexed, or within seconds if a full scan is required.

Quick Start

Use the job-search-module skill to find the folder for job number 24-1234.

Frequently Asked Questions about job-search-module

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I search for job folders on a network drive quickly?▼

To search for job folders fast, this module uses an index-first lookup to locate paths in milliseconds. If the job is not in the index, it automatically runs a parallel search fallback to scan the network drive.

What is the best way to find a project directory using a job number?▼

Finding a project directory by job number is handled by matching various job number patterns against an optimized index. You can query the module directly in your Python application or use the CLI.

How does a parallel search fallback work for file lookups?▼

The parallel search fallback works by performing a comprehensive scan of the network drive when the primary index does not contain the requested job. This ensures you still find the folder within seconds.

Can I manage the search index via a command line interface?▼

Yes, you can manage the search index via a CLI. The module provides command line interface commands for index management and utility functions to check the index status.

Why is traditional file system search on network drives slow?▼

Traditional file system search is slow because it scans directory structures sequentially. This module overcomes that by using an optimized index-first lookup to retrieve job folder locations instantly.

Does this job search module support retrieving DXF output paths?▼

Yes, the job search module supports retrieving DXF output paths. It provides utility functions specifically designed to resolve DXF output paths alongside its core job folder lookup capabilities.

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