Wrap (Grade B) logo

Wrap (Grade B)Security-tested data-ai skill for Claude AI. Grade B. **Date**: YYYY-MM-DD **Author**: [author] **Branch**: [branch] **Session**: [session ID]

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Daniel NikulshynReviewed by Daniel Nikulshyn·Updated July 2026

Overview

Wrap is a security-tested data-ai skill for Claude AI, graded B. It's designed to enrich the auto-captured Session node with topic, summary, and connections when a user indicates they're done working on a task. The skill auto-saves and doesn't require a manual save after use. It operates in two modes: connected (default) and local. In connected mode, it interacts with a graph database (Neo4j) for context and artifact linking. In local mode, it skips graph-related operations and only writes a wrap file locally. The skill involves git operations, Neo4j queries, and potential AskUserQuestion calls for validation and link suggestions. It emphasizes suppressing raw output and only showing formatted progress lines.

Key features

  • Topic detection
  • Summary generation
  • Open thread identification
  • Git context gathering
  • Neo4j queries for context
  • Local mode for isolated operation

Pricing

Model
Free
Category
Skills
Rating
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Use cases

Project Session Wrap-up

At the end of a project session, a user can invoke the Wrap skill to generate a summary of what was worked on, key outcomes, and current state, facilitating easier project tracking and collaboration.

Local Project Documentation

In local mode, Wrap can be used to document project sessions without requiring a connection to a graph database, useful for offline work or when graph database access is restricted.

Pros & Cons

Pros

  • Automates session summarization
  • Enriches session data with topic and connections
  • Operates in both connected and local modes for flexibility
  • Auto-saves without requiring manual intervention

Cons

  • Complexity in setup and understanding of required components (Neo4j, git, etc.)
  • Limited customization in summary generation
  • Dependent on specific Claude AI and git configurations

Reviews

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Q&A

How does Wrap manage saving and git integration?

After wrapping, Wrap auto-saves the session by running git operations to commit the wrap file and any related changes. It gathers recent commits, diff stats, and branch info in parallel, then commits the wrap file to the repository without requiring a manual /save command.

Asked by Rosalind Frost · Oct 17, 2025

Can I customize the summary generation in Wrap?

Wrap has limited customization for summary generation; it automatically produces a topic and summary based on the session node and connected data. There is no exposed parameter to modify the algorithm or format beyond the default behavior.

Asked by Urszula Kowalczyk · Sep 10, 2025

What are the prerequisites for using Wrap in connected mode?

You need a running Neo4j instance accessible to the skill, the bin/graph.sh and bin/graph wal.sh scripts configured to query and write to the database, and a properly set up Git repository with user.name configured so the skill can gather commit context. The skill also expects the session ID file at ~/.egregore/session.{hash}.id.

Asked by Amina Diallo · Aug 13, 2025

How does Wrap handle session summarization in connected vs local mode?

In connected mode, Wrap enriches the session node by querying a Neo4j graph database for topic, summary, and connections, then writes these to the graph via WAL and direct writes. In local mode, it skips all graph operations and simply creates a local wrap file in memory/wraps/YYYY MM/DD with the same summary data, while still performing git operations for context.

Asked by Petra Vogel · Jul 30, 2025

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