[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6AF75AKCKHSDKXGQ0E6MTVP":3,"skill-same:01M6AF75AKCKHSDKXGQ0E6MTVP":162},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":16,"sourceHtmlUrl":17,"categories":18,"keywords":24,"publishedAt":41,"linkOnly":42,"markdownContent":43,"markdownBody":44,"frontMatter":45,"refName":46,"commitSha":47,"skillDirectory":48,"forksCount":49,"repositoryHtmlUrl":50,"repositoryHomepageUrl":51,"ownerHtmlUrl":52,"ownerBlogUrl":53,"ownerDescription":54,"updatedAt":55,"install":56,"resources":69},"01M6AF75AKCKHSDKXGQ0E6MTVP","notebooklm",null,"Use this skill to query your Google NotebookLM notebooks directly from Claude Code for source-grounded, citation-backed answers from Gemini. Browser automation, library management, persistent auth. Drastically reduced hallucinations through document-only responses.","davila7\u002Fclaude-code-templates","davila7","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F6216945?v=4","01M6ADEWWFPS191NFM0Y1EX1JH","Daniel Avila","01M6ADJHGM78PHQRD3XZTFDVKK",33481,"MIT","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fnotebooklm\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fnotebooklm\u002FSKILL.md",[19],{"categoryNo":20,"categoryName":21,"taxonomyType":22,"taxonomyTypeDesc":23},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[5,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40],"source","google","for","Citation","query","document","only","use","management","library","browser","code","auth","automation","gemini","browser automation","2026-11-10 10:12:30",false,"---\nname: notebooklm\ndescription: Use this skill to query your Google NotebookLM notebooks directly from Claude Code for source-grounded, citation-backed answers from Gemini. Browser automation, library management, persistent auth. Drastically reduced hallucinations through document-only responses.\n---\n\n# NotebookLM Research Assistant Skill\n\nInteract with Google NotebookLM to query documentation with Gemini's source-grounded answers. Each question opens a fresh browser session, retrieves the answer exclusively from your uploaded documents, and closes.\n\n## When to Use This Skill\n\nTrigger when user:\n- Mentions NotebookLM explicitly\n- Shares NotebookLM URL (`https:\u002F\u002Fnotebooklm.google.com\u002Fnotebook\u002F...`)\n- Asks to query their notebooks\u002Fdocumentation\n- Wants to add documentation to NotebookLM library\n- Uses phrases like \"ask my NotebookLM\", \"check my docs\", \"query my notebook\"\n\n## ⚠️ CRITICAL: Add Command - Smart Discovery\n\nWhen user wants to add a notebook without providing details:\n\n**SMART ADD (Recommended)**: Query the notebook first to discover its content:\n```bash\n# Step 1: Query the notebook about its content\npython scripts\u002Frun.py ask_question.py --question \"What is the content of this notebook? What topics are covered? Provide a complete overview briefly and concisely\" --notebook-url \"[URL]\"\n\n# Step 2: Use the discovered information to add it\npython scripts\u002Frun.py notebook_manager.py add --url \"[URL]\" --name \"[Based on content]\" --description \"[Based on content]\" --topics \"[Based on content]\"\n```\n\n**MANUAL ADD**: If user provides all details:\n- `--url` - The NotebookLM URL\n- `--name` - A descriptive name\n- `--description` - What the notebook contains (REQUIRED!)\n- `--topics` - Comma-separated topics (REQUIRED!)\n\nNEVER guess or use generic descriptions! If details missing, use Smart Add to discover them.\n\n## Critical: Always Use run.py Wrapper\n\n**NEVER call scripts directly. ALWAYS use `python scripts\u002Frun.py [script]`:**\n\n```bash\n# ✅ CORRECT - Always use run.py:\npython scripts\u002Frun.py auth_manager.py status\npython scripts\u002Frun.py notebook_manager.py list\npython scripts\u002Frun.py ask_question.py --question \"...\"\n\n# ❌ WRONG - Never call directly:\npython scripts\u002Fauth_manager.py status  # Fails without venv!\n```\n\nThe `run.py` wrapper automatically:\n1. Creates `.venv` if needed\n2. Installs all dependencies\n3. Activates environment\n4. Executes script properly\n\n## Core Workflow\n\n### Step 1: Check Authentication Status\n```bash\npython scripts\u002Frun.py auth_manager.py status\n```\n\nIf not authenticated, proceed to setup.\n\n### Step 2: Authenticate (One-Time Setup)\n```bash\n# Browser MUST be visible for manual Google login\npython scripts\u002Frun.py auth_manager.py setup\n```\n\n**Important:**\n- Browser is VISIBLE for authentication\n- Browser window opens automatically\n- User must manually log in to Google\n- Tell user: \"A browser window will open for Google login\"\n\n### Step 3: Manage Notebook Library\n\n```bash\n# List all notebooks\npython scripts\u002Frun.py notebook_manager.py list\n\n# BEFORE ADDING: Ask user for metadata if unknown!\n# \"What does this notebook contain?\"\n# \"What topics should I tag it with?\"\n\n# Add notebook to library (ALL parameters are REQUIRED!)\npython scripts\u002Frun.py notebook_manager.py add \\\n  --url \"https:\u002F\u002Fnotebooklm.google.com\u002Fnotebook\u002F...\" \\\n  --name \"Descriptive Name\" \\\n  --description \"What this notebook contains\" \\  # REQUIRED - ASK USER IF UNKNOWN!\n  --topics \"topic1,topic2,topic3\"  # REQUIRED - ASK USER IF UNKNOWN!\n\n# Search notebooks by topic\npython scripts\u002Frun.py notebook_manager.py search --query \"keyword\"\n\n# Set active notebook\npython scripts\u002Frun.py notebook_manager.py activate --id notebook-id\n\n# Remove notebook\npython scripts\u002Frun.py notebook_manager.py remove --id notebook-id\n```\n\n### Quick Workflow\n1. Check library: `python scripts\u002Frun.py notebook_manager.py list`\n2. Ask question: `python scripts\u002Frun.py ask_question.py --question \"...\" --notebook-id ID`\n\n### Step 4: Ask Questions\n\n```bash\n# Basic query (uses active notebook if set)\npython scripts\u002Frun.py ask_question.py --question \"Your question here\"\n\n# Query specific notebook\npython scripts\u002Frun.py ask_question.py --question \"...\" --notebook-id notebook-id\n\n# Query with notebook URL directly\npython scripts\u002Frun.py ask_question.py --question \"...\" --notebook-url \"https:\u002F\u002F...\"\n\n# Show browser for debugging\npython scripts\u002Frun.py ask_question.py --question \"...\" --show-browser\n```\n\n## Follow-Up Mechanism (CRITICAL)\n\nEvery NotebookLM answer ends with: **\"EXTREMELY IMPORTANT: Is that ALL you need to know?\"**\n\n**Required Claude Behavior:**\n1. **STOP** - Do not immediately respond to user\n2. **ANALYZE** - Compare answer to user's original request\n3. **IDENTIFY GAPS** - Determine if more information needed\n4. **ASK FOLLOW-UP** - If gaps exist, immediately ask:\n   ```bash\n   python scripts\u002Frun.py ask_question.py --question \"Follow-up with context...\"\n   ```\n5. **REPEAT** - Continue until information is complete\n6. **SYNTHESIZE** - Combine all answers before responding to user\n\n## Script Reference\n\n### Authentication Management (`auth_manager.py`)\n```bash\npython scripts\u002Frun.py auth_manager.py setup    # Initial setup (browser visible)\npython scripts\u002Frun.py auth_manager.py status   # Check authentication\npython scripts\u002Frun.py auth_manager.py reauth   # Re-authenticate (browser visible)\npython scripts\u002Frun.py auth_manager.py clear    # Clear authentication\n```\n\n### Notebook Management (`notebook_manager.py`)\n```bash\npython scripts\u002Frun.py notebook_manager.py add --url URL --name NAME --description DESC --topics TOPICS\npython scripts\u002Frun.py notebook_manager.py list\npython scripts\u002Frun.py notebook_manager.py search --query QUERY\npython scripts\u002Frun.py notebook_manager.py activate --id ID\npython scripts\u002Frun.py notebook_manager.py remove --id ID\npython scripts\u002Frun.py notebook_manager.py stats\n```\n\n### Question Interface (`ask_question.py`)\n```bash\npython scripts\u002Frun.py ask_question.py --question \"...\" [--notebook-id ID] [--notebook-url URL] [--show-browser]\n```\n\n### Data Cleanup (`cleanup_manager.py`)\n```bash\npython scripts\u002Frun.py cleanup_manager.py                    # Preview cleanup\npython scripts\u002Frun.py cleanup_manager.py --confirm          # Execute cleanup\npython scripts\u002Frun.py cleanup_manager.py --preserve-library # Keep notebooks\n```\n\n## Environment Management\n\nThe virtual environment is automatically managed:\n- First run creates `.venv` automatically\n- Dependencies install automatically\n- Chromium browser installs automatically\n- Everything isolated in skill directory\n\nManual setup (only if automatic fails):\n```bash\npython -m venv .venv\nsource .venv\u002Fbin\u002Factivate  # Linux\u002FMac\npip install -r requirements.txt\npython -m patchright install chromium\n```\n\n## Data Storage\n\nAll data stored in `~\u002F.claude\u002Fskills\u002Fnotebooklm\u002Fdata\u002F`:\n- `library.json` - Notebook metadata\n- `auth_info.json` - Authentication status\n- `browser_state\u002F` - Browser cookies and session\n\n**Security:** Protected by `.gitignore`, never commit to git.\n\n## Configuration\n\nOptional `.env` file in skill directory:\n```env\nHEADLESS=false           # Browser visibility\nSHOW_BROWSER=false       # Default browser display\nSTEALTH_ENABLED=true     # Human-like behavior\nTYPING_WPM_MIN=160       # Typing speed\nTYPING_WPM_MAX=240\nDEFAULT_NOTEBOOK_ID=     # Default notebook\n```\n\n## Decision Flow\n\n```\nUser mentions NotebookLM\n    ↓\nCheck auth → python scripts\u002Frun.py auth_manager.py status\n    ↓\nIf not authenticated → python scripts\u002Frun.py auth_manager.py setup\n    ↓\nCheck\u002FAdd notebook → python scripts\u002Frun.py notebook_manager.py list\u002Fadd (with --description)\n    ↓\nActivate notebook → python scripts\u002Frun.py notebook_manager.py activate --id ID\n    ↓\nAsk question → python scripts\u002Frun.py ask_question.py --question \"...\"\n    ↓\nSee \"Is that ALL you need?\" → Ask follow-ups until complete\n    ↓\nSynthesize and respond to user\n```\n\n## Troubleshooting\n\n| Problem | Solution |\n|---------|----------|\n| ModuleNotFoundError | Use `run.py` wrapper |\n| Authentication fails | Browser must be visible for setup! --show-browser |\n| Rate limit (50\u002Fday) | Wait or switch Google account |\n| Browser crashes | `python scripts\u002Frun.py cleanup_manager.py --preserve-library` |\n| Notebook not found | Check with `notebook_manager.py list` |\n\n## Best Practices\n\n1. **Always use run.py** - Handles environment automatically\n2. **Check auth first** - Before any operations\n3. **Follow-up questions** - Don't stop at first answer\n4. **Browser visible for auth** - Required for manual login\n5. **Include context** - Each question is independent\n6. **Synthesize answers** - Combine multiple responses\n\n## Limitations\n\n- No session persistence (each question = new browser)\n- Rate limits on free Google accounts (50 queries\u002Fday)\n- Manual upload required (user must add docs to NotebookLM)\n- Browser overhead (few seconds per question)\n\n## Resources (Skill Structure)\n\n**Important directories and files:**\n\n- `scripts\u002F` - All automation scripts (ask_question.py, notebook_manager.py, etc.)\n- `data\u002F` - Local storage for authentication and notebook library\n- `references\u002F` - Extended documentation:\n  - `api_reference.md` - Detailed API documentation for all scripts\n  - `troubleshooting.md` - Common issues and solutions\n  - `usage_patterns.md` - Best practices and workflow examples\n- `.venv\u002F` - Isolated Python environment (auto-created on first run)\n- `.gitignore` - Protects sensitive data from being committed\n","# NotebookLM Research Assistant Skill\n\nInteract with Google NotebookLM to query documentation with Gemini's source-grounded answers. Each question opens a fresh browser session, retrieves the answer exclusively from your uploaded documents, and closes.\n\n## When to Use This Skill\n\nTrigger when user:\n- Mentions NotebookLM explicitly\n- Shares NotebookLM URL (`https:\u002F\u002Fnotebooklm.google.com\u002Fnotebook\u002F...`)\n- Asks to query their notebooks\u002Fdocumentation\n- Wants to add documentation to NotebookLM library\n- Uses phrases like \"ask my NotebookLM\", \"check my docs\", \"query my notebook\"\n\n## ⚠️ CRITICAL: Add Command - Smart Discovery\n\nWhen user wants to add a notebook without providing details:\n\n**SMART ADD (Recommended)**: Query the notebook first to discover its content:\n```bash\n# Step 1: Query the notebook about its content\npython scripts\u002Frun.py ask_question.py --question \"What is the content of this notebook? What topics are covered? Provide a complete overview briefly and concisely\" --notebook-url \"[URL]\"\n\n# Step 2: Use the discovered information to add it\npython scripts\u002Frun.py notebook_manager.py add --url \"[URL]\" --name \"[Based on content]\" --description \"[Based on content]\" --topics \"[Based on content]\"\n```\n\n**MANUAL ADD**: If user provides all details:\n- `--url` - The NotebookLM URL\n- `--name` - A descriptive name\n- `--description` - What the notebook contains (REQUIRED!)\n- `--topics` - Comma-separated topics (REQUIRED!)\n\nNEVER guess or use generic descriptions! If details missing, use Smart Add to discover them.\n\n## Critical: Always Use run.py Wrapper\n\n**NEVER call scripts directly. ALWAYS use `python scripts\u002Frun.py [script]`:**\n\n```bash\n# ✅ CORRECT - Always use run.py:\npython scripts\u002Frun.py auth_manager.py status\npython scripts\u002Frun.py notebook_manager.py list\npython scripts\u002Frun.py ask_question.py --question \"...\"\n\n# ❌ WRONG - Never call directly:\npython scripts\u002Fauth_manager.py status  # Fails without venv!\n```\n\nThe `run.py` wrapper automatically:\n1. Creates `.venv` if needed\n2. Installs all dependencies\n3. Activates environment\n4. Executes script properly\n\n## Core Workflow\n\n### Step 1: Check Authentication Status\n```bash\npython scripts\u002Frun.py auth_manager.py status\n```\n\nIf not authenticated, proceed to setup.\n\n### Step 2: Authenticate (One-Time Setup)\n```bash\n# Browser MUST be visible for manual Google login\npython scripts\u002Frun.py auth_manager.py setup\n```\n\n**Important:**\n- Browser is VISIBLE for authentication\n- Browser window opens automatically\n- User must manually log in to Google\n- Tell user: \"A browser window will open for Google login\"\n\n### Step 3: Manage Notebook Library\n\n```bash\n# List all notebooks\npython scripts\u002Frun.py notebook_manager.py list\n\n# BEFORE ADDING: Ask user for metadata if unknown!\n# \"What does this notebook contain?\"\n# \"What topics should I tag it with?\"\n\n# Add notebook to library (ALL parameters are REQUIRED!)\npython scripts\u002Frun.py notebook_manager.py add \\\n  --url \"https:\u002F\u002Fnotebooklm.google.com\u002Fnotebook\u002F...\" \\\n  --name \"Descriptive Name\" \\\n  --description \"What this notebook contains\" \\  # REQUIRED - ASK USER IF UNKNOWN!\n  --topics \"topic1,topic2,topic3\"  # REQUIRED - ASK USER IF UNKNOWN!\n\n# Search notebooks by topic\npython scripts\u002Frun.py notebook_manager.py search --query \"keyword\"\n\n# Set active notebook\npython scripts\u002Frun.py notebook_manager.py activate --id notebook-id\n\n# Remove notebook\npython scripts\u002Frun.py notebook_manager.py remove --id notebook-id\n```\n\n### Quick Workflow\n1. Check library: `python scripts\u002Frun.py notebook_manager.py list`\n2. Ask question: `python scripts\u002Frun.py ask_question.py --question \"...\" --notebook-id ID`\n\n### Step 4: Ask Questions\n\n```bash\n# Basic query (uses active notebook if set)\npython scripts\u002Frun.py ask_question.py --question \"Your question here\"\n\n# Query specific notebook\npython scripts\u002Frun.py ask_question.py --question \"...\" --notebook-id notebook-id\n\n# Query with notebook URL directly\npython scripts\u002Frun.py ask_question.py --question \"...\" --notebook-url \"https:\u002F\u002F...\"\n\n# Show browser for debugging\npython scripts\u002Frun.py ask_question.py --question \"...\" --show-browser\n```\n\n## Follow-Up Mechanism (CRITICAL)\n\nEvery NotebookLM answer ends with: **\"EXTREMELY IMPORTANT: Is that ALL you need to know?\"**\n\n**Required Claude Behavior:**\n1. **STOP** - Do not immediately respond to user\n2. **ANALYZE** - Compare answer to user's original request\n3. **IDENTIFY GAPS** - Determine if more information needed\n4. **ASK FOLLOW-UP** - If gaps exist, immediately ask:\n   ```bash\n   python scripts\u002Frun.py ask_question.py --question \"Follow-up with context...\"\n   ```\n5. **REPEAT** - Continue until information is complete\n6. **SYNTHESIZE** - Combine all answers before responding to user\n\n## Script Reference\n\n### Authentication Management (`auth_manager.py`)\n```bash\npython scripts\u002Frun.py auth_manager.py setup    # Initial setup (browser visible)\npython scripts\u002Frun.py auth_manager.py status   # Check authentication\npython scripts\u002Frun.py auth_manager.py reauth   # Re-authenticate (browser visible)\npython scripts\u002Frun.py auth_manager.py clear    # Clear authentication\n```\n\n### Notebook Management (`notebook_manager.py`)\n```bash\npython scripts\u002Frun.py notebook_manager.py add --url URL --name NAME --description DESC --topics TOPICS\npython scripts\u002Frun.py notebook_manager.py list\npython scripts\u002Frun.py notebook_manager.py search --query QUERY\npython scripts\u002Frun.py notebook_manager.py activate --id ID\npython scripts\u002Frun.py notebook_manager.py remove --id ID\npython scripts\u002Frun.py notebook_manager.py stats\n```\n\n### Question Interface (`ask_question.py`)\n```bash\npython scripts\u002Frun.py ask_question.py --question \"...\" [--notebook-id ID] [--notebook-url URL] [--show-browser]\n```\n\n### Data Cleanup (`cleanup_manager.py`)\n```bash\npython scripts\u002Frun.py cleanup_manager.py                    # Preview cleanup\npython scripts\u002Frun.py cleanup_manager.py --confirm          # Execute cleanup\npython scripts\u002Frun.py cleanup_manager.py --preserve-library # Keep notebooks\n```\n\n## Environment Management\n\nThe virtual environment is automatically managed:\n- First run creates `.venv` automatically\n- Dependencies install automatically\n- Chromium browser installs automatically\n- Everything isolated in skill directory\n\nManual setup (only if automatic fails):\n```bash\npython -m venv .venv\nsource .venv\u002Fbin\u002Factivate  # Linux\u002FMac\npip install -r requirements.txt\npython -m patchright install chromium\n```\n\n## Data Storage\n\nAll data stored in `~\u002F.claude\u002Fskills\u002Fnotebooklm\u002Fdata\u002F`:\n- `library.json` - Notebook metadata\n- `auth_info.json` - Authentication status\n- `browser_state\u002F` - Browser cookies and session\n\n**Security:** Protected by `.gitignore`, never commit to git.\n\n## Configuration\n\nOptional `.env` file in skill directory:\n```env\nHEADLESS=false           # Browser visibility\nSHOW_BROWSER=false       # Default browser display\nSTEALTH_ENABLED=true     # Human-like behavior\nTYPING_WPM_MIN=160       # Typing speed\nTYPING_WPM_MAX=240\nDEFAULT_NOTEBOOK_ID=     # Default notebook\n```\n\n## Decision Flow\n\n```\nUser mentions NotebookLM\n    ↓\nCheck auth → python scripts\u002Frun.py auth_manager.py status\n    ↓\nIf not authenticated → python scripts\u002Frun.py auth_manager.py setup\n    ↓\nCheck\u002FAdd notebook → python scripts\u002Frun.py notebook_manager.py list\u002Fadd (with --description)\n    ↓\nActivate notebook → python scripts\u002Frun.py notebook_manager.py activate --id ID\n    ↓\nAsk question → python scripts\u002Frun.py ask_question.py --question \"...\"\n    ↓\nSee \"Is that ALL you need?\" → Ask follow-ups until complete\n    ↓\nSynthesize and respond to user\n```\n\n## Troubleshooting\n\n| Problem | Solution |\n|---------|----------|\n| ModuleNotFoundError | Use `run.py` wrapper |\n| Authentication fails | Browser must be visible for setup! --show-browser |\n| Rate limit (50\u002Fday) | Wait or switch Google account |\n| Browser crashes | `python scripts\u002Frun.py cleanup_manager.py --preserve-library` |\n| Notebook not found | Check with `notebook_manager.py list` |\n\n## Best Practices\n\n1. **Always use run.py** - Handles environment automatically\n2. **Check auth first** - Before any operations\n3. **Follow-up questions** - Don't stop at first answer\n4. **Browser visible for auth** - Required for manual login\n5. **Include context** - Each question is independent\n6. **Synthesize answers** - Combine multiple responses\n\n## Limitations\n\n- No session persistence (each question = new browser)\n- Rate limits on free Google accounts (50 queries\u002Fday)\n- Manual upload required (user must add docs to NotebookLM)\n- Browser overhead (few seconds per question)\n\n## Resources (Skill Structure)\n\n**Important directories and files:**\n\n- `scripts\u002F` - All automation scripts (ask_question.py, notebook_manager.py, etc.)\n- `data\u002F` - Local storage for authentication and notebook library\n- `references\u002F` - Extended documentation:\n  - `api_reference.md` - Detailed API documentation for all scripts\n  - `troubleshooting.md` - Common issues and solutions\n  - `usage_patterns.md` - Best practices and workflow examples\n- `.venv\u002F` - Isolated Python environment (auto-created on first run)\n- `.gitignore` - Protects sensitive data from being committed\n",{"name":5,"description":7},"main","2b749c82b5d11fac39d9a6e021ce3f5b8a541bd1","cli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fnotebooklm",3931,"https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates","https:\u002F\u002Faitmpl.com","https:\u002F\u002Fgithub.com\u002Fdavila7","https:\u002F\u002Fdanielavila.me","Building AI dev tools with LLMs","2026-11-14 06:14:46",{"source":8,"skillName":5,"commands":57,"prompt":67,"zipAvailable":68},[58,61,64],{"tool":59,"command":60},"npx","npx skills add davila7\u002Fclaude-code-templates --skill notebooklm",{"tool":62,"command":63},"bunx","bunx skills add davila7\u002Fclaude-code-templates --skill notebooklm",{"tool":65,"command":66},"pnpm","pnpm dlx skills add davila7\u002Fclaude-code-templates --skill notebooklm","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fnotebooklm\u002FSKILL.md",true,[70,76,82,86,92,96,100,104,108,112,116,120,126,130,134,138,142,146,150,154,158],{"path":71,"resourceType":72,"resourceTypeDesc":73,"sizeBytes":74,"sourceHtmlUrl":75},".gitignore","OTHER","其他",723,"https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fnotebooklm\u002F.gitignore",{"path":77,"resourceType":78,"resourceTypeDesc":79,"sizeBytes":80,"sourceHtmlUrl":81},"AUTHENTICATION.md","REFERENCE","参考文档",5729,"https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fnotebooklm\u002FAUTHENTICATION.md",{"path":83,"resourceType":78,"resourceTypeDesc":79,"sizeBytes":84,"sourceHtmlUrl":85},"CHANGELOG.md",1774,"https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fnotebooklm\u002FCHANGELOG.md",{"path":87,"resourceType":88,"resourceTypeDesc":89,"sizeBytes":90,"sourceHtmlUrl":91},"images\u002Fexample_notebookchat.png","ASSET","资产文件",137552,"https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fnotebooklm\u002Fimages\u002Fexample_notebookchat.png",{"path":93,"resourceType":93,"resourceTypeDesc":94,"sizeBytes":95,"sourceHtmlUrl":16},"LICENSE","许可证",1072,{"path":97,"resourceType":78,"resourceTypeDesc":79,"sizeBytes":98,"sourceHtmlUrl":99},"README.md",15901,"https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fnotebooklm\u002FREADME.md",{"path":101,"resourceType":78,"resourceTypeDesc":79,"sizeBytes":102,"sourceHtmlUrl":103},"references\u002Fapi_reference.md",7630,"https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fnotebooklm\u002Freferences\u002Fapi_reference.md",{"path":105,"resourceType":78,"resourceTypeDesc":79,"sizeBytes":106,"sourceHtmlUrl":107},"references\u002Frecipes.md",9656,"https:\u002F\u002Fgithub.com\u002Fjmagly\u002Faiwg\u002Fblob\u002Fmain\u002Fagentic\u002Fcode\u002Faddons\u002Faiwg-utils\u002Fskills\u002Fsession-explore\u002Freferences\u002Frecipes.md",{"path":109,"resourceType":78,"resourceTypeDesc":79,"sizeBytes":110,"sourceHtmlUrl":111},"references\u002Ftroubleshooting.md",8994,"https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fnotebooklm\u002Freferences\u002Ftroubleshooting.md",{"path":113,"resourceType":78,"resourceTypeDesc":79,"sizeBytes":114,"sourceHtmlUrl":115},"references\u002Fusage_patterns.md",9574,"https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fnotebooklm\u002Freferences\u002Fusage_patterns.md",{"path":117,"resourceType":78,"resourceTypeDesc":79,"sizeBytes":118,"sourceHtmlUrl":119},"requirements.txt",325,"https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fnotebooklm\u002Frequirements.txt",{"path":121,"resourceType":122,"resourceTypeDesc":123,"sizeBytes":124,"sourceHtmlUrl":125},"scripts\u002F__init__.py","SCRIPT","脚本",2627,"https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fnotebooklm\u002Fscripts\u002F__init__.py",{"path":127,"resourceType":122,"resourceTypeDesc":123,"sizeBytes":128,"sourceHtmlUrl":129},"scripts\u002Fask_question.py",8196,"https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fnotebooklm\u002Fscripts\u002Fask_question.py",{"path":131,"resourceType":122,"resourceTypeDesc":123,"sizeBytes":132,"sourceHtmlUrl":133},"scripts\u002Fauth_manager.py",11544,"https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fnotebooklm\u002Fscripts\u002Fauth_manager.py",{"path":135,"resourceType":122,"resourceTypeDesc":123,"sizeBytes":136,"sourceHtmlUrl":137},"scripts\u002Fbrowser_session.py",8725,"https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fnotebooklm\u002Fscripts\u002Fbrowser_session.py",{"path":139,"resourceType":122,"resourceTypeDesc":123,"sizeBytes":140,"sourceHtmlUrl":141},"scripts\u002Fbrowser_utils.py",3525,"https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fnotebooklm\u002Fscripts\u002Fbrowser_utils.py",{"path":143,"resourceType":122,"resourceTypeDesc":123,"sizeBytes":144,"sourceHtmlUrl":145},"scripts\u002Fcleanup_manager.py",9777,"https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fnotebooklm\u002Fscripts\u002Fcleanup_manager.py",{"path":147,"resourceType":122,"resourceTypeDesc":123,"sizeBytes":148,"sourceHtmlUrl":149},"scripts\u002Fconfig.py",1228,"https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fnotebooklm\u002Fscripts\u002Fconfig.py",{"path":151,"resourceType":122,"resourceTypeDesc":123,"sizeBytes":152,"sourceHtmlUrl":153},"scripts\u002Fnotebook_manager.py",13843,"https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fnotebooklm\u002Fscripts\u002Fnotebook_manager.py",{"path":155,"resourceType":122,"resourceTypeDesc":123,"sizeBytes":156,"sourceHtmlUrl":157},"scripts\u002Frun.py",2967,"https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fnotebooklm\u002Fscripts\u002Frun.py",{"path":159,"resourceType":122,"resourceTypeDesc":123,"sizeBytes":160,"sourceHtmlUrl":161},"scripts\u002Fsetup_environment.py",7168,"https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fnotebooklm\u002Fscripts\u002Fsetup_environment.py",[163,189,215,246,281,304],{"skillNo":164,"name":165,"nameZh":6,"description":166,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":167,"categories":168,"keywords":170,"publishedAt":41},"01M70NHBTQ8BV0A2SCAZXEPHCX","wealthville-pool-scoring","Score DeFi liquidity pools before providing liquidity. Returns a 0-100 pool score and an Enter\u002FHold\u002FExit\u002FReduce\u002FAvoid verdict with calibrated confidence for ~68,800 Solana pools and 575 EVM pools, plus a public miss-inclusive track record. Use when asked whether a pool is worth LPing into, which pools look best right now, or how accurate the scores have actually been.","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fweb-data\u002Fwealthville-pool-scoring\u002FSKILL.md",[169],{"categoryNo":20,"categoryName":21,"taxonomyType":22,"taxonomyTypeDesc":23},[171,172,173,174,175,27,176,177,32,178,179,180,181,182,183,184,185,186,187,188],"scoring","pool","wealthville pool scoring","liquidity","which","exit","now","when","reduce","with","record","track","verdict","evm","solana","how","public","look",{"skillNo":190,"name":191,"nameZh":6,"description":192,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":193,"categories":194,"keywords":196,"publishedAt":41},"01M70MB6VR8ERJ4EM8D5KHBMEV","technical-debt-auditor","Scans a codebase and produces a quantified technical debt report with a prioritized remediation plan. Analyzes dead code, TODO\u002FFIXME\u002FHACK markers, dependency staleness, complexity hotspots, code duplication signals, test coverage gaps, unused exports, and outdated patterns. Use this skill when the user asks to audit their codebase for tech debt, wants a health check of their code quality, says things like \"where should I focus refactoring\", \"find code smells\", \"audit my codebase\", \"what technical debt do we have\", \"prioritize cleanup work\", or asks about code quality metrics. Also trigger when the user mentions \"code rot\", \"legacy cleanup\", \"refactoring priorities\", or wants to understand the overall health of a project before a major effort. Trigger even if the user doesn't say \"technical debt\" explicitly — any request to systematically assess code quality and identify improvement priorities belongs here.","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fdevelopment\u002Ftechnical-debt-auditor\u002FSKILL.md",[195],{"categoryNo":20,"categoryName":21,"taxonomyType":22,"taxonomyTypeDesc":23},[197,198,199,200,201,202,203,204,205,206,207,178,36,208,209,210,211,212,213,214],"technical debt","debt","technical","technical debt auditor","auditor","coverage","complexity","markers","project","cleanup","unused","todo","work","plan","focus","signals","audit","dependency",{"skillNo":216,"name":217,"nameZh":6,"description":218,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":219,"categories":220,"keywords":230,"publishedAt":41},"01M70KPYH9QNHCNME5GJQGE22K","readonly-sql-guard","Make an agent's database access provably read-only. Use when an agent runs caller-supplied SQL against a production\u002FERP\u002Fanalytics database (a \"query\" MCP tool, text-to-SQL, an admin console), or when reviewing DB-access code for write\u002FDDL\u002Fside-effect\u002Ftransaction-escape risks. Checks what a statement CALLS, not just its shape.","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fdatabase\u002Freadonly-sql-guard\u002FSKILL.md",[221,224,225],{"categoryNo":222,"categoryName":223,"taxonomyType":22,"taxonomyTypeDesc":23},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":20,"categoryName":21,"taxonomyType":22,"taxonomyTypeDesc":23},{"categoryNo":226,"categoryName":227,"taxonomyType":228,"taxonomyTypeDesc":229},"01JBSEEDCAT000000000000033","数据分析师","PROFESSION","适用职业",[231,232,233,234,235,236,237,27,238,239,240,241,242,31,243,32,244,245,178,29],"readonly","guard","sql guard","sql","readonly sql guard","erp","effect","read-only","db","just","tool","calls","MCP","access","database",{"skillNo":247,"name":248,"nameZh":6,"description":249,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":250,"licenseFileUrl":251,"sourceHtmlUrl":252,"categories":253,"keywords":257,"publishedAt":41},"01M6AFY6F7CC2BBZP1QD6VTNVC","web-artifacts-builder","Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn\u002Fui). Use for complex artifacts requiring state management, routing, or shadcn\u002Fui components - not for simple single-file HTML\u002FJSX artifacts.","Apache-2.0","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Futilities\u002Fweb-artifacts-builder\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Futilities\u002Fweb-artifacts-builder\u002FSKILL.md",[254],{"categoryNo":255,"categoryName":256,"taxonomyType":22,"taxonomyTypeDesc":23},"01JBSEEDCAT000000000000009","前端开发",[258,259,260,261,262,263,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279,27,280],"artifacts builder","web","web artifacts builder","artifacts","builder","state","routing","state management","component","css","frontend","ui","Tools","file","components","shadcn","react","Tailwind","suite","jsx","html","single-file","ui components",{"skillNo":282,"name":283,"nameZh":6,"description":284,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":250,"licenseFileUrl":285,"sourceHtmlUrl":286,"categories":287,"keywords":292,"publishedAt":41},"01M6AFWF33SFV9Z3SF4PEEE4BF","webapp-testing","Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fsecurity\u002Fwebapp-testing\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fsecurity\u002Fwebapp-testing\u002FSKILL.md",[288,291],{"categoryNo":289,"categoryName":290,"taxonomyType":22,"taxonomyTypeDesc":23},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":255,"categoryName":256,"taxonomyType":22,"taxonomyTypeDesc":23},[293,294,295,35,296,259,297,268,269,298,299,300,301,27,302,180,303],"webapp testing","testing","webapp","playwright","applications","debugging","toolkit","logs","screenshots","local","behavior",{"skillNo":305,"name":306,"nameZh":6,"description":307,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":250,"licenseFileUrl":308,"sourceHtmlUrl":309,"categories":310,"keywords":318,"publishedAt":41},"01M6AF67Q67JJJ5V51JR2P52KA","discernment-nudge","After you give a substantive answer or draft that the user may act on — advice or recommendations, drafted artifacts such as goals, plans, pitches, proposals, or emails, estimates or projections, analysis or interpretation of data, factual claims they may rely on, or a multi-step argument — invoke this skill BEFORE finalizing your reply and then, if it applies, append 2-3 short follow-up questions, each tied to something specific in what you just produced, that help the user check key facts, probe the reasoning or assumptions, and notice missing context. Do this at most once per conversation. Skip it when the user asked a trivial how-to or simple lookup, wants a purely educational explanation, asked you only to format, convert, or assemble a file from content they provided, is writing code they will run, is doing creative writing or casual chat, or already asked you to double-check, cite, or review — the skill file explains these boundaries and the exact output format.","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fdiscernment-nudge\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fdiscernment-nudge\u002FSKILL.md",[311,314,315],{"categoryNo":312,"categoryName":313,"taxonomyType":22,"taxonomyTypeDesc":23},"01JBSEEDCAT000000000000018","写作与文案",{"categoryNo":20,"categoryName":21,"taxonomyType":22,"taxonomyTypeDesc":23},{"categoryNo":316,"categoryName":317,"taxonomyType":228,"taxonomyTypeDesc":229},"01JBSEEDCAT000000000000036","内容创作者",[319,320,321,322,323,324,325,326,261,327,271,36,328,329,330,331,332,31,333,178,334,335,336,337,338,186,339],"discernment nudge","nudge","interpretation","help","run","reasoning","data","writing","lookup","content","review","conversation","short","up","invoke","you","analysis","claims","argument","assemble","recommendations"]