Is this skill useful for non-bioinformatics projects?

While developed for bioinformatics, any research-heavy or documentation-intensive project can benefit from its automated file classification and information extraction logic.

Does the skill move files automatically?

It suggests appropriate destinations and actions; it can move files or update documentation once you provide approval for the suggested workflow.

What types of files can the Inbox Processor handle?

It is designed to handle unstructured text files, meeting notes, experimental protocols, research ideas, literature notes, and raw data files.

Can I customize the classification rules?

Yes, the skill references classification rules defined in your project, allowing it to adapt to your specific folder structure and research needs.

Inbox Processor

Name: Inbox Processor
Author: dakesan

bydakesan

Productivity & Workflow

Automates the organization and classification of unstructured research files into structured project workflows.

About

The Inbox Processor is designed for researchers and developers to streamline the transition from raw input to actionable project data. It automatically scans the inbox directory, identifies file types—such as meeting notes, protocols, or experimental ideas—and extracts critical information like action items and hypotheses. By recommending specific destinations within a research notebook and updating steering documents, it ensures that no insight is lost and that the research workflow remains organized and up-to-date with minimal manual effort.

Key Features

Seamless integration with project steering files and task management lists
Automated classification of files into categories like protocols, ideas, and data
Extraction of actionable items, decisions, and hypotheses from unstructured notes
Batch processing capabilities for organizing multiple inbox files simultaneously
0 GitHub stars
Smart destination mapping based on project-specific classification rules

Use Cases

Organizing experimental protocols and literature notes into a searchable research hierarchy
Converting raw team meeting notes into structured knowledge base entries and action items
Processing brainstormed research ideas into formal hypotheses for the lab notebook

About

Key Features

Seamless integration with project steering files and task management lists
Automated classification of files into categories like protocols, ideas, and data
Extraction of actionable items, decisions, and hypotheses from unstructured notes
Batch processing capabilities for organizing multiple inbox files simultaneously
0 GitHub stars
Smart destination mapping based on project-specific classification rules

Use Cases

Organizing experimental protocols and literature notes into a searchable research hierarchy
Converting raw team meeting notes into structured knowledge base entries and action items
Processing brainstormed research ideas into formal hypotheses for the lab notebook