session-wrap

Coordinate parallel subagents to summarize changes, capture learnings, and propose follow-ups.

1|Updated Apr 9, 2026
One-click install
npx skills add https://github.com/hbvg234/jnmt.vn --skill session-wrap-hbvg234
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: session-wrap
Source: https://github.com/hbvg234/jnmt.vn/tree/main/.claude/skills/session-wrap
Command: npx skills add https://github.com/hbvg234/jnmt.vn --skill session-wrap-hbvg234

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill orchestrates an end-of-session cleanup by coordinating four parallel subagents to summarize changes, capture learning points, identify repetitive patterns, and propose follow-up tasks, while a verification subagent deduplicates results and presents user options.

Core Features & Use Cases

  • Parallel subagents for context extraction and pattern discovery (doc-updater, automation-scout, learning-extractor, followup-suggester).
  • Phase 2 duplicate checking to remove overlaps and classify items.
  • Phase 3 interactive user choice to execute selected actions.
  • Phase 4 execution of chosen actions and Phase 5 reporting with an audit trail.

Quick Start

Start the session-wrap workflow to collect context, run parallel subagents, deduplicate results, and present actionable options to the user.

Frequently Asked Questions about session-wrap

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

FAQPage Schema
How do I automate end-of-session cleanup for project documentation and follow-ups?▼

You can automate end-of-session cleanup by running parallel subagents that summarize changes, capture learning points, discover repetitive patterns, and propose follow-up tasks, followed by deduplication and interactive execution.

How does parallel pattern discovery work during a session wrap?▼

Parallel pattern discovery works by deploying multiple subagents simultaneously to explore project context, identify repetitive patterns, and extract learning points, followed by a verification step to deduplicate overlapping results.

What is the best way to capture learning points and plan follow-ups at the end of a work session?▼

The best way to capture learning points is using a structured workflow that extracts context in parallel, deduplicates findings, and prompts you interactively to select and execute actionable follow-up tasks.

Can I use parallel subagents to deduplicate document updates and follow-up tasks?▼

Yes, a verification subagent checks the parallel results from context extraction and pattern discovery to remove overlapping items, classify actions, and present deduplicated document updates and follow-up tasks for user selection.

Does end-of-session automation require manual review before executing follow-up actions?▼

End-of-session automation requires manual review through an interactive user choice prompt, allowing you to select specific deduplicated actions for execution before the workflow generates a final report and audit trail.