rise-pde-session-multi-agents-v2

Orchestrate RISE PDE workflows with multi-agent research, validation, and implementation.

1|2|Updated Apr 13, 2026
One-click install
npx skills add https://github.com/jgwill/dotagents --skill rise-pde-session-multi-agents-v2
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: rise-pde-session-multi-agents-v2
Source: https://github.com/jgwill/dotagents/tree/main/skills/rise-pde-session-multi-agents-v2
Command: npx skills add https://github.com/jgwill/dotagents --skill rise-pde-session-multi-agents-v2

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

It orchestrates an end-to-end RISE (Reverse-engineer → Intent-extract → Specify → Export) workflow for implementing, documenting, and integrating changes using PDE decomposition plus parallel multi-agent execution.

Core Features & Use Cases

  • PDE-driven decomposition and STC charting: Decomposes the user’s intent into a structured action stack and generates an STC (structural tension chart) from the PDE decomposition for human review.
  • Enforced review window with wake-up execution: Runs an enforced bash sleep (sleep 1500) to give humans time to review and edit the authoritative .pde/ files before execution resumes.
  • Parallel deep-search, validation, and execution by direction: Uses SOUTH deep-search agents, a WEST cross-reference validator, and NORTH executor agents with file-ownership boundaries and kinship/rispecs awareness.
  • Supports multi-part cascading missions: Detects and executes “Part 1 → commit → Part 2 → commit …” sequences with separate commits per part.

Quick Start

Start a rise-pde-session-multi-agents-v2 run by giving your full task description (including any Part 1/Part 2 boundaries) and let it generate the PDE + STC, wait for review, then execute the multi-agent plan while writing the session summary to .pde/<SESSION_UUID>/session-summary.md.

Frequently Asked Questions about rise-pde-session-multi-agents-v2

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

FAQPage Schema
How do I orchestrate multi-agent execution for complex multi-file software changes?

Multi-agent orchestration for multi-file software changes is handled by decomposing user intent into a structured PDE action stack, then coordinating parallel deep-search, validation, and execution agents with strict file-ownership boundaries. It generates an STC chart for human review before execution proceeds.

What is PDE decomposition and how does it structure a multi-part coding mission?

PDE decomposition is a structured workflow that breaks a user's intent into an actionable stack, generating a structural tension chart for review. It supports cascading multi-part missions by detecting sequential boundaries and executing them with separate commits per part.

Can I review and edit the generated action plan before agents start implementing code?

Yes, you can review and edit the action plan before execution. The workflow enforces a bash sleep 1500 pause, giving humans time to review and modify the authoritative .pde/ files before NORTH executor agents resume the coordinated implementation.

How do I manage kinship-aware documentation and rispecs during repository updates?

Kinship-aware documentation and rispecs are managed during repository updates by deploying cross-reference validator and executor agents that maintain structural awareness. These agents operate with file-ownership boundaries to ensure documentation aligns with the multi-file changes.

Does multi-agent PDE session execution isolate workspace files for each run?

Yes, multi-agent PDE session execution isolates workspace files for each run by strictly enforcing a dedicated workdir under .pde/<SESSION_UUID>/. This ensures all spawned subagents, parameter constraints, and session summaries remain contained within that specific session directory.

What's the best way to handle cascading multi-part missions with separate commits in a repository?

The best way to handle cascading multi-part missions is using a PDE workflow that detects sequential Part 1 to Part 2 boundaries and executes them with separate commits per part. The multi-agent plan coordinates research, validation, and implementation across each committed segment.