trycycle

Coordinate planning, execution, and review phases with AI agents.

198|15|Updated Mar 5, 2026
One-click install
npx skills add https://github.com/danshapiro/trycycle --skill trycycle
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: trycycle
Source: https://github.com/danshapiro/trycycle/tree/main
Command: npx skills add https://github.com/danshapiro/trycycle --skill trycycle

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the entire software development lifecycle, from planning and coding to testing and review, reducing manual effort and improving code quality.

Core Features & Use Cases

  • Automated Planning: Generates detailed, step-by-step implementation plans.
  • Iterative Refinement: Refines plans through multiple review cycles.
  • Code Execution: Builds code based on the finalized plan.
  • Automated Review: Conducts code reviews and implements fixes.
  • Use Case: Instruct Trycycle to add a dark mode toggle to your web application's settings page. It will handle the planning, coding, testing, and review process automatically.

Quick Start

Use trycycle to add a dark mode toggle to the settings page.

Frequently Asked Questions about trycycle

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

FAQPage Schema
How do I automate my coding workflow from planning to code review?

Automated coding workflow is handled by coordinating planning, execution, and review phases using AI agents. It generates implementation plans, builds code, and iterates through review-fix loops automatically.

Can AI agents generate test plans and execute code based on a strategy?

AI agents can generate test plans from your development strategies and execute code based on finalized plans. This coordinates the software development lifecycle to build features automatically.

Do I need Python 3 and Git to automate my software development lifecycle?

Python 3 and Git are required runtime dependencies for automating the software development lifecycle. The environment manages git worktrees and executes code generation scripts during the workflow.

How does automated code review work for iterative refinement?

Automated code review works by conducting reviews on generated code and implementing fixes in iterative loops. This refines plans and code through multiple review cycles to improve quality and reduce manual effort.

What is the best way to manage git worktrees during AI code generation?

Managing git worktrees during AI code generation is integrated directly into the workflow execution. The system coordinates these worktrees automatically to isolate development branches during the planning and execution phases.