A professional documentation-sync skill that generates concrete end-of-session summaries and updates project handoff files based on repository evidence.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install handover-sync
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 handover-sync 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 Handover Sync?
Handover Sync is a specialized tool designed to solve the context-loss problem in AI-assisted development. Instead of providing a generic chat summary, it functions as a rigorous documentation-sync workflow within the Openclaw Skills ecosystem. It inspects your repository’s actual changes via git history and file diffs to produce grounded, factual updates for files like handover.md and README.md.
By treating the handoff as a technical deliverable, this skill ensures that project context remains transferable for the next human developer or AI agent. It bridges the gap between raw code changes and high-level project goals, ensuring that every session ends with a clear, actionable roadmap and updated documentation in either Chinese or English.
Handover Sync Use Cases
- Ending a development session and preparing a transfer for a teammate or another AI agent.
- Automatically updating README.md and handover.md files based on the day's code changes.
- Capturing complex problem-solving logic and rejected approaches to prevent future technical debt.
- Generating end-of-week progress summaries for project stakeholders within Openclaw Skills.
- Documenting MVP stopgap solutions and unverified edge cases before signing off.
How Handover Sync Works
- Context Identification: The skill identifies the repository root and determines the summary date range based on user input or local system time.
- Evidence Gathering: It performs direct repository inspection using git commands (status, diff, log) or file timestamps to identify exactly what changed.
- Template Application: It selects the appropriate localized template from the references directory to ensure high-quality, structured output.
- Narrative Derivation: Raw code changes are mapped into narrative sections including session scope, implemented fixes, and validation results.
- Multi-file Synchronization: The skill updates the handover.md and relevant README.md sections simultaneously to maintain a single source of truth.
- Final Verification: The updated documentation is reviewed to ensure it answers critical questions: what changed, what is still broken, and what comes next.
Handover Sync Setup
To utilize Handover Sync within your environment, ensure you have the required templates in your repository's reference folder.
# Create the references directory if it doesn't exist
mkdir -p references
# Ensure your project has the standard handoff files
touch handover.md
Configure your Openclaw Skills agent to recognize the handover-sync definition and provide access to standard git CLI tools for repository inspection.
Handover Sync Data Schema & Taxonomy
The skill organizes data by synchronizing technical narratives across specific Markdown files in your repository:
| File | Purpose | Update Frequency |
|---|---|---|
handover.md |
Persistent log of session summaries, problems, and TODOs. | Every session end |
README.md |
High-level project overview and run instructions. | When technical paths change |
references/session_summary_template.md |
Chinese structural guide for summaries. | Static/Reference |
references/session_summary_template.en.md |
English structural guide for summaries. | Static/Reference |
Metadata Taxonomy: Updates are tagged by date, session scope, and implementation status (e.g., MVP, Final, or Unverified).
Handover Sync Advanced Features
- Bilingual Support: Automatically detects or toggles between Chinese and English based on user interaction or existing document language.
- Evidence-Based Grounding: Uses
git diffandgit lograther than relying on model memory for 100% accuracy in file-level reporting. - Decision Journaling: Records rejected technical approaches and cause analysis to provide deep context for long-term project maintenance.
- Multi-Agent Interoperability: Formats data specifically to act as a 'save state' that other Openclaw Skills can parse and continue from.
SKILL.md
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