An end-of-session automation tool that synchronizes code, extracts technical learnings, and evolves project rules using AI pattern detection.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install alex-session-wrap-up
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install alex-session-wrap-up using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is session-wrap-up?
The session-wrap-up skill is an essential utility within the Openclaw Skills ecosystem designed to bridge the gap between active coding sessions and long-term project maintenance. It eliminates the friction of manual bookkeeping by automatically handling Git operations and documentation updates. By analyzing your session history, it ensures that every decision made and every bug fixed contributes to the project's permanent knowledge base.
This tool is particularly valuable for developers who want to maintain a high-velocity workflow without losing track of architectural evolution. As part of the wider range of Openclaw Skills, it uses gpt-4o-mini to provide intelligent pattern detection, helping you identify areas where your development environment or automation scripts can be improved based on your actual behavior.
session-wrap-up Use Cases
- Automating the commit and push process at the end of a deep-work session to ensure remote repositories are always up to date.
- Capturing ephemeral technical decisions and debugging steps from chat history into a structured daily log.
- Identifying recurring workflow bottlenecks or frequently asked questions to update system prompts and documentation.
- Maintaining a chronological project memory that helps teammates or future-you understand the 'why' behind specific changes.
How session-wrap-up Works
- Ship It Phase: The skill performs a workspace scan for uncommitted changes, stages files, generates a context-aware commit message, and pushes the branch to the remote origin.
- Extract Learnings Phase: It parses the current session's conversation to identify key decisions, technical hurdles overcome, and successful implementation details.
- Pattern Detect Phase: Using gpt-4o-mini, the skill analyzes the session data to look for repeated requests or mistakes, suggesting optimizations for the development environment.
- Persist & Evolve Phase: The gathered insights are saved to a date-stamped memory file and integrated into permanent project documentation like AGENTS.md to improve future AI agent performance.
session-wrap-up Setup
To deploy this among your Openclaw Skills, ensure your environment has Git configured and access to an LLM provider for pattern detection. Add the skill to your agent's capability list and trigger it via command or natural language:
# Trigger a manual wrap-up
openclaw run session-wrap-up
session-wrap-up Data Schema & Taxonomy
The session-wrap-up skill organizes data across the following file structure to maintain project continuity:
| File/Path | Purpose |
|---|---|
memory/YYYY-MM-DD.md |
A chronological log of decisions, learnings, and patterns identified during that day's sessions. |
AGENTS.md |
Updated with persistent rules and environment-specific notes derived from detected patterns. |
MEMORY.md |
Updated with high-level project status and significant architectural shifts. |
Git History |
Clean, automated commits that document the technical changes made during the session. |
session-wrap-up Advanced Features
- Intelligent pattern detection powered by gpt-4o-mini to reduce technical debt and repetitive tasks.
- Seamless integration with existing Openclaw Skills to trigger post-session cleanup automatically.
- Automatic evolution of project rules, allowing your AI coding agents to learn from every interaction.
- Detailed session summaries that highlight exactly what was committed, what was learned, and what was updated.
SKILL.md
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