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copilot-thesis-collab-governor

Orchestrate cross-tool thesis workflows across Copilot, ClaudeCode, and Hermes/OpenClaw.

2|Updated Apr 28, 2026
Search Tags:#workflow#handoff#copilot#thesis#orchestrate#claudecode#pmo
One-click install
npx skills add https://github.com/anyekoutouming/anyekoutouming --skill copilot-thesis-collab-governor
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: copilot-thesis-collab-governor
Source: https://github.com/anyekoutouming/anyekoutouming/tree/main/copilot-thesis-collab-governor
Command: npx skills add https://github.com/anyekoutouming/anyekoutouming --skill copilot-thesis-collab-governor

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrates the collaboration workflow among Copilot, ClaudeCode, and Hermes/OpenClaw for thesis tasks, enabling task-tiering, initial extraction, deep review, handoffs, retrospective optimization, and PMO write-backs.

Core Features & Use Cases

  • Tiered collaboration chain using the routing-matrix to determine L0/L1/L2 execution levels.
  • Dual-phase extraction: ClaudeCode initial extraction followed by Copilot deep extraction with PASS/REVIEW/REJECT signaling.
  • Handoff templates and PMO integration to capture artifacts and updates.
  • Review gate validation with a structured checklist to ensure artifact quality and traceability.
  • Remote data enrichment via Hermes/OpenClaw when local data is insufficient.

Quick Start

Initiate the hierarchical collaboration workflow for a thesis project by routing through the matrix and producing initial handoff artifacts.

Frequently Asked Questions about copilot-thesis-collab-governor

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

FAQPage Schema
How do I orchestrate thesis collaboration workflows across Copilot and ClaudeCode?▼

To orchestrate thesis collaboration across Copilot and ClaudeCode, use a routing-matrix to determine L0/L1/L2 task tiers, execute dual-phase extraction, and perform handoffs with PMO write-backs.

What is the best way to handle task-tiering in AI-assisted research projects?▼

Task-tiering in research projects is handled by applying a routing-matrix that determines L0, L1, or L2 execution levels, ensuring tasks are matched to the appropriate AI tool capabilities.

How does the dual-phase extraction process work for thesis artifacts?▼

Dual-phase extraction starts with ClaudeCode initial extraction followed by Copilot deep extraction, which validates artifact quality using PASS, REVIEW, or REJECT signaling.

Can I use Hermes or OpenClaw for remote data enrichment in thesis workflows?▼

Yes, you can use Hermes or OpenClaw for remote data enrichment in thesis workflows when local data is insufficient to complete the task analysis.

How do I ensure artifact traceability during cross-tool handoffs?▼

Artifact traceability during cross-tool handoffs is ensured by using structured handoff templates and review gate validation with a checklist to capture updates and PMO write-backs.

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