Coordinate persistent multi-session research discussions with AI agents.
npx skills add https://github.com/ChenShizhe/research-session --skill research-meeting
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
Simplifies and orchestrates long-running, multi-session research discussions by coordinating context, memory, and handoffs across sessions.
Start a persistent research-meeting session by bootstrapping project context and opening the startup protocol.
High-intent search queries and answers about installing and using this skill.
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.
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.
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.
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.
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.
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.
MihaiOnSoftwareLoad user rules from ~/.ai/rules/ in defined order.
specvitalGenerate a markdown handoff summary with context, decisions, and pending tasks.
pmcdowallDecompose objectives into dependency-aware Kanban tasks with specialist assignments.
dejavoo21Store session memory and long-term facts for AI agents via AgentDB.
