bereniketech/wrapup

Session Wrap-Up

Run this at the end of every session to capture what happened and commit it to long-term memory.

Step 0: Ensure AI Brain Notebook Exists

Before doing anything else, check if the user already has a Brain notebook set up.

Check for saved notebook ID: Look for a memory file or config that stores the Brain notebook ID. Check the memory index for a reference like brain_notebook_id.

If no notebook ID is saved:

1. List existing notebooks: notebooklm list --json
2. Look for one titled "AI Brain" or similar (e.g. "[Name]'s AI Brain")
3. If found: Use that notebook's ID going forward
4. If NOT found: Tell the user:

   "You don't have an AI Brain notebook yet. This is where I'll save a summary of every session so you can search, query, or generate reports from your history over time. Want me to create it now?"

5. If the user agrees, create it: notebooklm create "[Name]'s AI Brain" --json
6. Save the notebook ID to a memory file so future sessions find it automatically:

   Memory file: reference_brain_notebook.md
   Content: Brain notebook ID, title, and when it was created
   

   Also update the MEMORY.md index.

If notebook ID IS saved: Verify it still exists with notebooklm list --json. If it's been deleted, repeat the creation flow above.

Step 1: Review the Session

Look back through the entire conversation and identify:

• Decisions made — what was decided and why
• Work completed — what was built, fixed, configured, or shipped
• Key learnings — anything surprising or non-obvious that came up
• Open threads — anything left unfinished or to revisit next time
• User preferences revealed — any new feedback about how the user likes to work

Step 2: Save Memories

Check the existing memory index and save or update memories as needed:

• feedback — any corrections or confirmed approaches from this session
• project — ongoing work, goals, deadlines, or context that future sessions need
• user — anything new learned about the user's role, preferences, or knowledge
• reference — any external resources, tools, or systems referenced

Rules:

• Don't duplicate existing memories — update them instead
• Don't save things derivable from code or git history
• Convert relative dates to absolute dates
• Include Why: and How to apply: for feedback and project memories

Step 3: Write Session Summary

Create a markdown session summary with today's date. Keep it concise but complete.

Format:

# Session Summary — YYYY-MM-DD

## What We Did
- Bullet points of key work completed

## Decisions Made
- Key decisions and their reasoning

## Key Learnings
- Non-obvious insights or discoveries

## Open Threads
- Anything to pick up next time

## Tools & Systems Touched
- List of tools, repos, services involved

Save this to a temp file at /tmp/session-summary-YYYY-MM-DD.md.

If there are multiple sessions in the same day, append a counter: /tmp/session-summary-YYYY-MM-DD-2.md

Step 4: Push to NotebookLM Brain

Add the session summary as a source to the Brain notebook:

notebooklm source add /tmp/session-summary-YYYY-MM-DD.md --notebook <BRAIN_NOTEBOOK_ID>

If the CLI is not on PATH, use the full path: ~/.notebooklm-venv/bin/notebooklm

If auth fails, warn the user and skip this step — the memories are still saved locally.

Step 5: Confirm

Tell the user:

• How many memories were saved/updated
• That the session summary was added to the Brain notebook (or skipped if auth failed)
• Any open threads to pick up next time

Keep it brief. No need to read back the full summary — just confirm it's done.

Error Handling

• If NotebookLM auth fails: save memories locally, skip the notebook push, tell the user
• If the Brain notebook was deleted: re-create it and update the saved ID
• If there's nothing meaningful to save: just say so, don't force empty memories
• If notebooklm CLI not found: try ~/.notebooklm-venv/bin/notebooklm, if that fails tell user to install with pip install notebooklm-py

Prerequisites

This skill requires the NotebookLM CLI. See the notebooklm skill (skills/ai-platform/notebooklm/SKILL.md) for setup instructions:

1. Install: pip install "notebooklm-py[browser]" and playwright install chromium
2. Authenticate: notebooklm login
3. The skill handles everything else automatically on first run