overcut.ai
Official@overcut-ai
Overcut automates your SDLC with AI-driven workflows
Agent Skills by overcut.ai
Showing 6 vetted skills indexed across 1 GitHub repositories.
Agent Session Design
Design agent.session steps for multi-agent coordination, loops, and recovery.
Prompt Engineering for Overcut Workflows
Guide writing step prompts for Overcut AI workflows with markdown and YAML formatting.
Step Actions Reference
Document Overcut workflow step action types, parameters, and configuration options.
Template Variables Reference
Reference Handlebars templating syntax for Overcut workflow data integration.
Workflow Triggers Reference
Document configuring workflow triggers for AI agents in workflow.json.
Agent Tools Reference
Document Overcloud agent tool categories, descriptions, and built-in type matrices.
Frequently Asked Questions About overcut.ai
FAQPage SchemaWhat specific tasks can be performed using Overcut's configuration framework?▼
Users can define multi-agent coordination loops, configure step-action parameters, and manage data integration using Handlebars syntax. The framework enables the creation of structured event triggers and recovery logic for complex project sequences, ensuring consistent execution across defined project stages.
Which technical personas benefit from using these configuration references?▼
System architects, software engineers, and technical leads responsible for defining project execution logic benefit from these references. The documentation is specifically designed for developers tasked with mapping complex project requirements into structured YAML and JSON configurations for coordinated execution.
What are the prerequisites for implementing these configuration patterns?▼
Implementation requires familiarity with YAML and JSON data structures, as well as proficiency in Handlebars templating syntax. Users must have an existing project environment configured to interpret Overcut-specific schema definitions for agent coordination and step-action execution.