Coordinate multi-agent session data into Memory and Handoff artifacts.
npx skills add https://github.com/lee6147/Claude --skill session-pack
Please help me install this Agent Skill. Skill: session-pack Source: https://github.com/lee6147/Claude/tree/main/skills/session-pack Command: npx skills add https://github.com/lee6147/Claude --skill session-pack
This Skill orchestrates a multi-agent workflow to automatically capture, summarize, and propagate session context into Memory and Handoff artifacts. It ensures consistency across agents and seamless continuation between sessions.
In an active collaboration, trigger the pack flow to execute memory extraction and handoff planning for the current session.
High-intent search queries and answers about installing and using this skill.
You can automate memory extraction and handoff by triggering a multi-agent workflow that analyzes session transcripts, captures structured memory bullets, and generates handoff drafts. This ensures consistency across agents and seamless continuation between collaborative sessions.
The best way to generate structured session summaries is using a deterministic six-phase workflow with parallel agents. This approach automatically consolidates session context into memory artifacts and handoff documents for reliable work transitions between teams.
Multi-agent orchestration for session memory works by deploying two parallel agents that analyze session transcripts through a six-phase flow. They perform sequential duplicate checks and produce structured memory and handoff outputs with optional user approval.
Yes, automated workflow orchestration is designed for long-running, collaborative sessions requiring structured summaries and memory capture. It automatically propagates session context into memory and handoff artifacts to ensure consistency across agents.
User approval is optional when generating handoff documents during an active collaboration. The automated workflow can produce structured outputs independently, but includes an optional approval step to review the memory and handoff artifacts before transitioning.
You should avoid using session orchestration for memory and handoff automation in short, single-agent sessions that do not require structured summaries or team transitions, as the six-phase parallel agent workflow is designed for long-running, collaborative contexts.
phnx-labsIndex and retrieve agent conversation transcripts with filtering by project, agent type, and time ranges.
hadpadrahulCapture current phase, progress, decisions, blockers, and remaining tasks in a timestamped continuation file.
HermeticOrmusAudit work, update persistent memory, generate a Markdown summary, and rename the transcript.
SethGammonOrchestrate multi-step tasks by chaining skills, memory, and project context.
