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evolve-task

Orchestrate a multi-stage AI agent workflow for task evolution.

1|1|Updated Jan 22, 2026
Search Tags:#debugging#task management#workflow automation#code generation#ai agent#evolution
One-click install
npx skills add https://github.com/csuzngjh/principles --skill evolve-task
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: evolve-task
Source: https://github.com/csuzngjh/principles/tree/main/claude/skills/evolve-task
Command: npx skills add https://github.com/csuzngjh/principles --skill evolve-task

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill orchestrates a comprehensive, multi-stage process for AI agent evolution, ensuring thorough analysis, diagnosis, and planning for complex tasks.

Core Features & Use Cases

  • End-to-End Workflow: Manages the entire lifecycle from context recovery to final reporting.
  • Agent Delegation: Intelligently delegates sub-tasks to specialized agents like Explorer, Diagnostician, Auditor, Planner, Implementer, and Reviewer.
  • Use Case: When a bug is reported, this Skill can automatically triage the issue, diagnose the root cause, audit potential solutions, plan the fix, execute the code changes, and review the outcome, logging all decisions and user feedback.

Quick Start

Run the evolve-task skill to initiate the full evolution loop for the current task.

Frequently Asked Questions about evolve-task

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

FAQPage Schema
How do I automate AI agent workflow for complex debugging and task management?▼

Automating AI agent workflow involves orchestrating a multi-stage evolution loop that handles context recovery, triage, evidence gathering, and root cause analysis. This process delegates sub-tasks to specialized agents and logs all decisions for continuous system improvement.

What is the full evolution loop for AI agents in workflow automation?▼

The full evolution loop is a comprehensive lifecycle process spanning context recovery, self-assessment, triage, planning, execution, and review. It ensures thorough diagnosis and planning for complex tasks by delegating work to specialized agents like Explorer, Diagnostician, and Implementer.

How do I manage end-to-end code generation and bug fixing with an AI agent?▼

End-to-end code generation and bug fixing is managed by orchestrating a workflow that automatically triages reported issues, diagnoses root causes, audits solutions, plans the fix, executes code changes, and reviews the outcome.

Can I use workflow automation to log user feedback and agent decisions during task evolution?▼

Yes, workflow automation can log user feedback and agent decisions during task evolution. The orchestration process records all decisions and user feedback throughout the multi-stage workflow to facilitate system improvement and audit trails.

Does task management workflow automation require specialized agents for root cause analysis?▼

Task management workflow automation delegates root cause analysis to specialized Diagnostician agents. This delegation ensures thorough evidence gathering and environmental awareness before planning and executing any code changes.

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