research-meeting

Name: research-meeting
Availability: InStock
Author: chenshizhe

Coordinate persistent multi-session research discussions with AI agents.

1|Updated Apr 7, 2026

Search Tags:#multi-agent #workspace #protocols #memory-management #session-startup #research-meeting

Ready to run

npx skills add https://github.com/ChenShizhe/research-session --skill research-meeting

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: research-meeting
Source: https://github.com/ChenShizhe/research-session/tree/main/research-meeting
Command: npx skills add https://github.com/ChenShizhe/research-session --skill research-meeting

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Simplifies and orchestrates long-running, multi-session research discussions by coordinating context, memory, and handoffs across sessions.

Core Features & Use Cases

Orchestrates startup, dialogue flow, and close protocols for multi-session projects.
Manages durable decisions, checkpoints, and cross-session continuity to resume work seamlessly.
Enables optional specialist roles and sub-agent pipelines to handle domain-specific tasks.

Quick Start

Start a persistent research-meeting session by bootstrapping project context and opening the startup protocol.

Frequently Asked Questions about research-meeting

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

FAQPage Schema

How do I coordinate multi-session research discussions with AI agents?▼

To coordinate multi-session research discussions with AI agents, this skill orchestrates context, memory, and handoffs across sessions. It manages durable decisions and checkpoints to resume work seamlessly without losing previous context.

How does AI memory management work for ongoing research meetings?▼

AI memory management for research meetings works by enforcing frontmatter requirements, root SKILL.md configurations, and artifact directories. This ensures consistent activation and cross-session continuity for durable decision tracking.

What is the best way to handle session startup and end-of-session handoffs?▼

The best way to handle session startup and end-of-session handoffs is by applying startup, ongoing dialogue, and close protocols. This process manages persistent context and memory across multiple sessions for seamless resumption.

Can I use specialist roles and sub-agent pipelines for domain-specific research tasks?▼

Yes, you can use optional specialist roles and sub-agent pipelines to handle domain-specific tasks. This enables multi-agent orchestration within your workspace to process specialized research workflows.

Does this approach require a specific workspace setup for load-order protocols?▼

This approach requires a workspace setup that enforces load-order protocols, frontmatter requirements, and artifact directories. These configurations are necessary to maintain consistent activation across persistent research sessions.

Why do I need checkpoint management for persistent research dialogue?▼

You need checkpoint management for persistent research dialogue because it stores durable decisions and context state. Without these checkpoints, ongoing multi-session projects cannot resume seamlessly or maintain cross-session continuity.