How do I run a single agent without starting a full chain?

You can bypass the automatic workflow by including 'single=true' in your task prompt, which instructs the skill to only execute the specific agent requested.

Which phases of the workflow are executed in parallel?

The skill utilizes parallel execution during the exploration phase (searching codebase/docs) and the implementation phase (simultaneously running builder, UI, and integration agents).

Can I manually control the agent chain?

Yes, for complete manual control, you can use the /chain command or the parallel-exec skill to define custom execution patterns and agent sequences.

What is auto-chaining in the Agent Invoker skill?

Auto-chaining is a default behavior where invoking a lead agent (like 'architect') automatically triggers a sequence of sub-agents to handle exploration, building, quality checks, and final reviews.

What happens if the reviewer agent identifies issues in the code?

The skill initiates an error recovery loop, sending the code back to the builder for fixes. It will attempt this process up to 3 times before escalating the issue.

CasareRPA Agent Invoker

Name: CasareRPA Agent Invoker
Author: omerlefaruk

byomerlefaruk

生产力与工作流

Orchestrates multi-agent RPA development workflows with intelligent auto-chaining and parallel task execution.

关于

The Agent Invoker skill serves as the central command hub for the CasareRPA platform, allowing developers to trigger complex, end-to-end development cycles through simple task prompts. By utilizing a sophisticated auto-chaining mechanism, the skill automatically coordinates a sequence of specialized agents—from architecture and UI design to integration and quality assurance—ensuring that every feature is explored, implemented, and reviewed according to best practices. This skill is essential for developers looking to maximize productivity through parallel execution and iterative error recovery loops, significantly reducing the manual overhead of managing individual coding sub-tasks.

主要功能

Automated reviewer gate with a three-iteration error recovery loop
Specialized agents for UI, API integrations, and codebase architecture
Parallel execution of exploration, implementation, and validation phases
Toggleable single-agent mode for targeted, non-sequential tasks
0 GitHub stars
Default auto-chaining for end-to-end development lifecycles

使用场景

Parallelized development of UI components alongside backend API integrations
Executing automated codebase refactoring with rigorous quality gates
Implementing complex RPA features with integrated testing and documentation

关于

主要功能

Automated reviewer gate with a three-iteration error recovery loop
Specialized agents for UI, API integrations, and codebase architecture
Parallel execution of exploration, implementation, and validation phases
Toggleable single-agent mode for targeted, non-sequential tasks
0 GitHub stars
Default auto-chaining for end-to-end development lifecycles

使用场景

Parallelized development of UI components alongside backend API integrations
Executing automated codebase refactoring with rigorous quality gates
Implementing complex RPA features with integrated testing and documentation