Codymaster cm-notebooklm

Sync high-value dev knowledge (skills, decisions, lessons) into Google NotebookLM for cloud recall, podcasts, and flashcards. Pairs with Dockit/deep-search. Use for NotebookLM, nlm, knowledge base, skill sync, or cross-machine AI memory.

install

source · Clone the upstream repo

git clone https://github.com/tody-agent/codymaster

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/tody-agent/codymaster "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/cm-notebooklm" ~/.claude/skills/tody-agent-codymaster-cm-notebooklm && rm -rf "$T"

manifest: skills/cm-notebooklm/SKILL.md

source content

Goal

Cloud brain / soul cho AI — lưu trữ kiến thức giá trị nhất, đồng bộ qua nhiều máy tính.

brain.md

= compiled source of truth, upload 1 lần thay vì 50.

How It Works

Skills + Lessons + Experiences
        ↓ compile
  ~/.codymaster/brain.md  (local file = backup)
        ↓ upload (1 API call)
  NotebookLM (cloud = cross-machine sync)

All automation via

scripts/brain-sync.sh

— AI chỉ cần gọi script.

Instructions

The Dual-Brain Architecture

CodyMaster uses a Dual-Brain approach to scale memory across multiple projects without context collapse:

Master Brain (
codymaster
): Global brain storing Meta-Learnings, proven Architecture Decisions, and universal patterns. Evolved via the "Rule of 3" (knowledge graduation).
Project Brain (Isolated): Optional local brain created per project to hold internal PRDs, APIs, and local code context from
```
./docs
```
.

Level	Goal	Query Command
Master	Tìm pattern chung	`nlm notebook query codymaster "..."`
Project	Tìm context domain	`nlm notebook query $(cat .cm/notebook_id) "..."`

🤖 AI Rule: Tự đưa quyết định khi hỏi: Hỏi
codymaster
cho các giải pháp mang tính hệ thống chung. Hỏi qua
.cm/notebook_id
cho các business logic đặc thù dự án đang làm.

Master Brain Setup (Global)

# 1. Install CLI
uv tool install notebooklm-mcp-cli

# 2. Setup Master Brain
bash ~/.gemini/antigravity/skills/cm-notebooklm/scripts/brain-sync.sh init

Project Brain Setup (Local - Optional)

Nếu dự án đủ lớn và nhiều doc:

# Tạo Project Brain riêng cho thư mục hiện tại
bash ~/.gemini/antigravity/skills/cm-notebooklm/scripts/brain-sync.sh init-project

Daily Usage

SCRIPT=~/.gemini/antigravity/skills/cm-notebooklm/scripts/brain-sync.sh

# Add a lesson learned
bash $SCRIPT lesson "Tên bài học"
# → Edit ~/.codymaster/lessons.md → fill in details

# Add coding experience
bash $SCRIPT experience "Tên pattern"
# → Edit ~/.codymaster/experiences.md → fill in details

# Sync to Master Brain (Thêm rule of 3)
bash $SCRIPT sync

# Sync to Project Brain (Up tài liệu local docs/)
bash $SCRIPT sync-project

# Check status
bash $SCRIPT status

# Query
nlm notebook query codymaster "your question"

Auto-Sync Triggers

AI detect và hỏi user (không tự động):

Trigger	Prompt
Skill mới tạo	"Sync skill mới vào brain?" → `bash $SCRIPT sync`
Bug fixed / post-mortem	"Lưu bài học?" → `bash $SCRIPT lesson "..."`
Architecture changed	"Update brain?" → `bash $SCRIPT sync`
User nói "sync/update"	→ `bash $SCRIPT sync`

Cross-Machine (Máy Mới)

uv tool install notebooklm-mcp-cli
nlm login
nlm notebook list          # CodyMaster Brain already there
nlm alias set codymaster <id>
# Done! Query ngay: nlm notebook query codymaster "..."

Content Generation

nlm audio create codymaster --format deep_dive --confirm   # Podcast
nlm report create codymaster --format "Study Guide" --confirm
nlm flashcards create codymaster --difficulty medium --confirm
nlm studio status codymaster

What Gets Indexed

✅ HIGH-VALUE (auto-compiled into brain.md):
├── Skill Index (names + descriptions — NOT full SKILL.md)
├── Lessons Learned (~/.codymaster/lessons.md)
├── Coding Experiences (~/.codymaster/experiences.md)
└── AGENTS.md (project identity)

❌ NOT INDEXED (use qmd/cm-deep-search instead):
├── Full SKILL.md files (too many, hard to maintain)
├── Source code, tests, configs
└── Duplicated content

Memory Architecture

Session  → variables        → temporary
Working  → CONTINUITY.md    → ~500 words/turn
Local    → qmd              → BM25+vector, offline, stable
Cloud    → NotebookLM       → AI brain, cross-machine, podcast

Integration

Skill	Role
`cm-deep-search`	Local search complement (code)
`cm-dockit`	Generate docs → select high-value → feed to brain
`cm-continuity`	Session memory, brain = long-term
`skill-creator-ultra`	TRIGGER: new skill → prompt sync
`cm-debugging`	TRIGGER: bug fixed → prompt lesson

Constraints

🔌
```
nlm
```
CLI = third-party (jacob-bd). May break. Fallback: cm-deep-search.
🧠 Selective only — quality > quantity. Don't dump everything.
🔐 NO secrets in NotebookLM — cloud service.
❌ NO delete without user confirmation.
🤖 NO
```
nlm chat start
```
— use
```
nlm notebook query
```
only.
🔄 Auto-sync = ask first, never silent upload.