cross-app-workflow

Name: cross-app-workflow
Availability: InStock
Author: malue-ai

Orchestrate multi-step workflows by chaining local applications and AI skills.

36|2|Updated Feb 9, 2026

Search Tags:#automation #workflow #task management #orchestration #pipeline #multi-app

Ready to run

npx skills add https://github.com/malue-ai/dazee-small --skill cross-app-workflow

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: cross-app-workflow
Source: https://github.com/malue-ai/dazee-small/tree/main/instances/xiaodazi/skills/cross-app-workflow
Command: npx skills add https://github.com/malue-ai/dazee-small --skill cross-app-workflow

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines complex, multi-step tasks by intelligently chaining together different applications and AI skills, automating end-to-end processes that would otherwise require significant manual coordination.

Core Features & Use Cases

Task Decomposition: Breaks down user requests into a sequence of actionable steps.
Skill Orchestration: Selects and sequences the most appropriate skills for each sub-task.
Data Flow Management: Ensures intermediate results are passed correctly between skills.
Use Case: Automate the entire process from receiving an email with attachments to analyzing the data, generating a report, and replying to the sender.

Quick Start

Use the cross-app-workflow skill to process the attached document 'report_data.xlsx' by analyzing it and generating a summary report.

Frequently Asked Questions about cross-app-workflow

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

FAQPage Schema

How do I automate multi-app workflows for email processing and report generation?▼

Multi-app workflows are automated by chaining local applications and AI skills into seamless pipelines. The system decomposes tasks, sequences appropriate skills, and manages intermediate data flow to process emails and generate reports.

Can I orchestrate multiple AI skills to process file operations and document generation?▼

Yes, you can orchestrate multiple AI skills to handle file operations and document generation. The workflow selects, sequences, and passes intermediate results correctly between skills to complete complex multi-step pipelines.

What is the best way to manage intermediate data in a multi-step task pipeline?▼

Managing intermediate data in a multi-step task pipeline is handled automatically through data flow management. This ensures intermediate results are passed correctly between chained skills during orchestration.

Does the workflow orchestration provide error recovery mechanisms for complex pipelines?▼

Workflow orchestration provides error recovery mechanisms for complex pipelines. It manages intermediate data and coordinates chained applications to ensure seamless execution despite potential processing failures.

How do I decompose a complex user request into actionable task steps?▼

Complex user requests are decomposed into actionable task steps through intelligent task decomposition. The system breaks down requests and sequences the most appropriate skills for each sub-task automatically.