A structured AI agent skill designed to capture and extract durable, high-value technical knowledge at the end of a development session for long-term retention.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install memory-handoff
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install memory-handoff using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Coding sessions frequently die alongside their terminal transcripts, losing critical institutional knowledge in the process. The Memory Handoff skill solves this by generating short, highly structured notes containing durable knowledge—such as architecture decisions, root causes, setup gotchas, workflow changes, and security findings—that a long-lived agent or human teammate can review and file. This ensures valuable contextual insights survive past individual session lifecycles.
While designed to pair seamlessly with the brigade automation system for linting and ingestion, this skill functions perfectly as a standalone protocol. It prevents developers from losing hard-earned insights to ephemeral chat histories by forcing the extraction of verifiable facts over session narratives.
.brigade/, .claude/memory-handoffs/, or .codex/memory-handoffs/ to use as the storage target.YYYY-MM-DD-HHMM-<slug>.md).Ensure your repository contains one of the following directories for the agent to dump handoff notes:
.claude/memory-handoffs/.codex/memory-handoffs/.brigade/ (If utilizing advanced automation configurations)To automate validation, install the brigade utility and run the built-in linter on your repository:
# Lint the repository for handoff structural errors
brigade handoff lint
# Automatically scaffold a blank template when unsure of target expectations
brigade handoff draft
Handoff files must adhere to the following strict chronological taxonomy:
YYYY-MM-DD-HHMM-<slug>.md
| Section | Allowed / Expected Values | Description |
|---|---|---|
| Type | setup, workflow, bugfix, decision, security, preference, research, project-context |
Categorizes the nature of the durable knowledge. |
| Summary | 2 to 4 sentences | High-level synthesis of what occurred and why it matters. |
| Durable Facts | Bulleted list | Verifiable, absolute facts (no relative dates like "yesterday"). |
| Evidence | files changed, commands run, error strings |
Hard proof supporting the discovered facts. |
| Recommended Action | create-card, update-card, no-card |
Explicit instructions for the destination memory system. |
| Target Card | Descriptive filename (e.g., card-name.md) |
Canonical target file in the parent memory registry. |
| Suggested Content | Markdown string beginning with YAML frontmatter | The exact payload payload to ingest. For no-card, this shifts to target documents. |
brigade handoff lint for automated data pipelines.create-card/update-card rules with YAML frontmatter or fallback Target document trees for unmanaged files.Loading
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