القائمة
Notebook First retrieval policy — query NotebookLM notebooks before web search or context dumping
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/CleanExpo/NodeJS-Starter-V1 --skill notebooklm-second-brainيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
عرض SKILL.md
استنادا إلى تصنيف SOC المهني
| id | notebooklm-second-brain |
| name | notebooklm-second-brain |
| type | skill |
| version | 1.0.0 |
| created | 20/03/2026 |
| modified | 20/03/2026 |
| status | active |
| category | meta-orchestration |
| tags | ["retrieval","knowledge-management","notebooklm","second-brain"] |
| triggers | ["onboarding","debugging","architecture","security","post-build"] |
| description | Notebook First retrieval policy — query NotebookLM notebooks before web search or context dumping |
| context | fork |
Policy: Query the relevant NotebookLM notebook before web search or dumping full docs into context.
This skill enforces a "Notebook First" retrieval policy. Instead of loading entire markdown files or running web searches for architecture decisions, debugging patterns, or security knowledge, the agent queries purpose-built NotebookLM notebooks via the nlm CLI. This keeps the agent context window lean and retrieval fast.
| Scenario | Notebook | Why |
|---|---|---|
| "How does auth work?" | project_sot | Architecture decisions live here |
| "Why is this test failing?" | debug_kb | Error patterns and debugging playbooks |
| "Is this input sanitised?" | security_handbook | OWASP patterns and security reviews |
| "Explain the codebase" | repo_onboarding | Codebase atlas and mind maps |
| After successful build/verify | project_sot | Auto-sync implementation notes |
All notebook IDs are stored in .claude/notebooklm/notebooks.json. Never hard-code or fabricate IDs.
# Read current notebook config
cat .claude/notebooklm/notebooks.json
| Query Type | Target Notebook | Fallback |
|---|---|---|
| Architecture, feature specs, implementation history | project_sot | Read CLAUDE.md directly |
| Error patterns, test failures, debugging steps | debug_kb | Search codebase with grep |
| OWASP, auth patterns, security reviews | security_handbook | Web search security docs |
| "How does X work?", codebase overview, onboarding | repo_onboarding |
| Read source files directly |
# Authentication
nlm login # Browser cookie extraction (one-time)
nlm login --check # Verify auth status
# Notebook management
nlm notebook list # List all notebooks
nlm notebook create "Name" # Create new notebook
nlm notebook query <notebook_id> # Interactive query
# Source management
nlm source add <notebook_id> --file <path> # Add file source
nlm source add <notebook_id> --url <url> # Add URL source
nlm source add <notebook_id> --text "content" # Add text source
nlm source list <notebook_id> # List sources
# Notes and audio
nlm note create <notebook_id> "Title" # Create note
nlm audio create <notebook_id> --confirm # Generate audio overview
When setting up a new notebook:
nlm notebook create "Name"notebooks.jsonAfter successful pnpm run verify or pnpm build, the sync hook (.claude/hooks/scripts/notebooklm-sync.ps1) automatically creates an implementation note in project_sot with:
notebooks.json (populated by /notebooklm-bootstrap)| System | Integration |
|---|---|
| Beads | Sync completed Beads tasks as implementation notes |
| Council of Logic | Architecture queries route through project_sot first |
| Hooks | Post-verify sync hook adds notes automatically |
| Skills | Other skills can query notebooks for domain knowledge |
Run the bootstrap command to install, authenticate, and create all notebooks:
/notebooklm-bootstrap
This installs notebooklm-mcp-cli, authenticates via browser, creates the 4 notebooks, seeds them with project sources, and writes IDs to notebooks.json.
python scripts/validate-notebooks.py # Schema validation
python scripts/validate-notebooks.py --check-ids # Verify IDs populated
python scripts/validate-notebooks.py --dry-run-sync # Preview sync note
Route complex requests to the right specialist agent or chain of agents. This skill acts as the central brain of an agent swarm — it analyses what the user needs, determines which specialist domain(s) are required, and coordinates parallel or sequential agent execution. Use this skill when a request spans multiple domains (e.g., "research competitors and create a pitch deck"), when you need to decide which specialist should handle an ambiguous request, or when a task requires a multi-step pipeline across different skills. Triggers on: multi-step requests, cross-domain tasks, "coordinate", "plan this out", "I need help with multiple things", or any complex request that touches more than one specialist area. Also triggers when the user seems unsure which tool or approach to use.
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Hybrid DAG execution primitive combining deterministic and agentic nodes with hard iteration caps