awaitly-analyze

Analyze awaitly workflows to generate IRs, Mermaid diagrams, and path statistics.

1|Updated Jan 17, 2026
One-click install
npx skills add https://github.com/jagreehal/awaitly --skill awaitly-analyze
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: awaitly-analyze
Source: https://github.com/jagreehal/awaitly/tree/main/.claude/skills/awaitly-analyze
Command: npx skills add https://github.com/jagreehal/awaitly --skill awaitly-analyze

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Static analysis of awaitly workflows to understand structure, complexity, and data flow without executing them.

Core Features & Use Cases

  • Analyze workflow IRs and uncover architecture, step types, and data flow.
  • Render Mermaid diagrams and generate path matrices to visualize workflow structure and complexity.
  • Use cross-workflow analysis to compare multiple workflows for consistency and risk assessment.

Quick Start

Install and invoke the analysis tools to extract workflow information and generate visuals for your project.

Frequently Asked Questions about awaitly-analyze

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

FAQPage Schema
How do I perform static analysis on awaitly workflows without executing them?

Static analysis of awaitly workflows extracts structure, step types, and data flow by generating intermediate representations and path statistics, allowing you to validate architecture without running the code.

Can I generate Mermaid diagrams to visualize workflow complexity and data flow?

Yes, you can render Mermaid diagrams to visualize workflow structure and complexity. The analysis generates visual representations and path matrices directly from the workflow files to illustrate data flow.

What is the best way to compare multiple awaitly workflows for consistency and risk?

Cross-workflow analysis compares multiple awaitly workflows to assess consistency and identify risks. Applying the analysis tools to multiple files simultaneously reveals architectural differences and validates structural patterns.

Does awaitly workflow analysis support unnamed workflows and strict validation rules?

Yes, workflow analysis supports both named and unnamed workflows. It applies strict validation rules during the intermediate representation generation to ensure structural integrity and accurate path generation.

Why generate path statistics and path matrices for awaitly workflows?

Generating path statistics and path matrices quantifies workflow complexity by mapping all executable routes. This reveals hidden structural bottlenecks and validates logic branches before deployment.

What are the limitations of static analysis for awaitly workflows?

Static analysis reveals structure and data flow but cannot capture runtime behavior or dynamic state changes. It is limited to validating architecture, generating diagrams, and mapping paths from the static codebase.