p10circle

Orchestrate P10 workflows with evidence-based task composition and dry-run validation.

3|Updated Mar 8, 2026
One-click install
npx skills add https://github.com/kkyyds-hub/AI-Dev-Orchestrator --skill p10circle
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: p10circle
Source: https://github.com/kkyyds-hub/AI-Dev-Orchestrator/tree/main/.kkr/skills/p10circle
Command: npx skills add https://github.com/kkyyds-hub/AI-Dev-Orchestrator --skill p10circle

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the challenge of managing complex AI-Dev-Orchestrator workflows by ensuring evidence-based task composition, executor-backed agent binding, and dry-run orchestration without Git writes.

Core Features & Use Cases

  • Evidence-Based Task Composition: Ensures every task is grounded in repository evidence.
  • Executor-Backed Agent Binding: Binds programmer and reviewer agents securely without Git write authorization.
  • Dry-Run Orchestration: Validates the workflow without product Git writes.
  • Use Case: For AI-Dev-Orchestrator maintainers and contributors looking to implement P10 long-running workflows, this Skill ensures that all tasks are evidence-based and securely managed.

Quick Start

Run the p10circle skill to initiate the P10 workflow, starting with evidence collection and proceeding through task composition, agent binding, and dry-run orchestration.

Frequently Asked Questions about p10circle

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

FAQPage Schema
What is evidence-based task composition in AI-Dev-Orchestrator workflows?

Evidence-based task composition ensures every automated development task is grounded directly in verified repository evidence. This mechanism prevents unverified changes by validating tasks against actual codebase data before execution.

How do I validate AI-Dev-Orchestrator workflows without executing Git writes?

You can validate workflows without Git writes by using dry-run orchestration. This process simulates the entire task execution pipeline and safety validations to verify behavior without modifying the actual product repository.

How does executor-backed agent binding work for long-running AI workflows?

Executor-backed agent binding securely maps programmer and reviewer agents to specific workflow tasks. It enforces safety validations and restricts agents from receiving Git write authorization during long-running automated processes.

Can I use dry-run orchestration for P10 long-running workflow safety validation?

Yes, dry-run orchestration is designed specifically for P10 long-running workflows. It validates the complete task composition and agent binding sequence while maintaining robust error handling without committing any Git writes.

What are the limitations of managing complex AI-Dev-Orchestrator workflows with this approach?

The primary limitation is that this approach strictly enforces a no Git write policy during orchestration. It is designed exclusively for maintainers and contributors needing evidence-based validation, not direct repository modification.