[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M7EBMBKEWBHH723XMEC987R4":3,"skill-same:01M7EBMBKEWBHH723XMEC987R4":55},{"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":6,"sourceHtmlUrl":16,"categories":17,"keywords":18,"publishedAt":19,"linkOnly":20,"markdownContent":21,"markdownBody":22,"frontMatter":23,"refName":27,"commitSha":28,"skillDirectory":29,"forksCount":30,"repositoryHtmlUrl":31,"repositoryHomepageUrl":6,"ownerHtmlUrl":32,"ownerBlogUrl":6,"ownerDescription":33,"updatedAt":34,"install":35,"resources":48},"01M7EBMBKEWBHH723XMEC987R4","apify-ecommerce",null,"Extract product data, prices, reviews, and seller information from any e-commerce platform using Apify's E-commerce Scraping Tool.","lza6\u002FArmor-piercing-system-prompts","lza6","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F128880206?v=4","01M7EB3K7WPX5T28EJ2NVHE6EG","Chinese-tingfeng","01M7EB3K97E1KQ16QWKJMFNGX8",11,"MIT","https:\u002F\u002Fgithub.com\u002Flza6\u002FArmor-piercing-system-prompts\u002Fblob\u002Fmain\u002F03-逆向工程\u002Fapify-ecommerce\u002FSKILL.md",[],[],"2026-11-15 14:19:17",false,"---\nname: apify-ecommerce\ndescription: \"Extract product data, prices, reviews, and seller information from any e-commerce platform using Apify's E-commerce Scraping Tool.\"\nrisk: critical\nsource: community\ndate_added: \"2026-09-04\"\n---\n\n# E-commerce Data Extraction\n\nExtract product data, prices, reviews, and seller information from any e-commerce platform using Apify's E-commerce Scraping Tool.\n\n## When to Use\n- You need product, pricing, review, stock, or seller data from e-commerce sites.\n- The task involves price monitoring, competitor product comparison, MAP enforcement, or review analysis.\n- You need a guided workflow for extracting marketplace data and summarizing findings.\n\n## Prerequisites\n\n- `.env` file with `APIFY_TOKEN` (at `~\u002F.claude\u002F.env`)\n- Node.js 20.6+ (for native `--env-file` support)\n\n## Workflow Selection\n\n| User Need | Workflow | Best For |\n|-----------|----------|----------|\n| Track prices, compare products | Workflow 1: Products & Pricing | Price monitoring, MAP compliance, competitor analysis. Add AI summary for insights. |\n| Analyze reviews (sentiment or quality) | Workflow 2: Reviews | Brand perception, customer sentiment, quality issues, defect patterns |\n| Find sellers across stores | Workflow 3: Sellers | Unauthorized resellers, vendor discovery via Google Shopping |\n\n## Progress Tracking\n\n```\nTask Progress:\n- [ ] Step 1: Select workflow and determine data source\n- [ ] Step 2: Configure Actor input\n- [ ] Step 3: Ask user preferences (format, filename)\n- [ ] Step 4: Run the extraction script\n- [ ] Step 5: Summarize results\n```\n\n---\n\n## Workflow 1: Products & Pricing\n\n**Use case:** Extract product data, prices, and stock status. Track competitor prices, detect MAP violations, benchmark products, or research markets.\n\n**Best for:** Pricing analysts, product managers, market researchers.\n\n### Input Options\n\n| Input Type | Field | Description |\n|------------|-------|-------------|\n| Product URLs | `detailsUrls` | Direct URLs to product pages (use object format) |\n| Category URLs | `listingUrls` | URLs to category\u002Fsearch result pages |\n| Keyword Search | `keyword` + `marketplaces` | Search term across selected marketplaces |\n\n### Example - Product URLs\n```json\n{\n  \"detailsUrls\": [\n    {\"url\": \"https:\u002F\u002Fwww.amazon.com\u002Fdp\u002FB09V3KXJPB\"},\n    {\"url\": \"https:\u002F\u002Fwww.walmart.com\u002Fip\u002F123456789\"}\n  ],\n  \"additionalProperties\": true\n}\n```\n\n### Example - Keyword Search\n```json\n{\n  \"keyword\": \"Samsung Galaxy S24\",\n  \"marketplaces\": [\"www.amazon.com\", \"www.walmart.com\"],\n  \"additionalProperties\": true,\n  \"maxProductResults\": 50\n}\n```\n\n### Optional: AI Summary\n\nAdd these fields to get AI-generated insights:\n\n| Field | Description |\n|-------|-------------|\n| `fieldsToAnalyze` | Data points to analyze: `[\"name\", \"offers\", \"brand\", \"description\"]` |\n| `customPrompt` | Custom analysis instructions |\n\n**Example with AI summary:**\n```json\n{\n  \"keyword\": \"robot vacuum\",\n  \"marketplaces\": [\"www.amazon.com\"],\n  \"maxProductResults\": 50,\n  \"additionalProperties\": true,\n  \"fieldsToAnalyze\": [\"name\", \"offers\", \"brand\"],\n  \"customPrompt\": \"Summarize price range and identify top brands\"\n}\n```\n\n### Output Fields\n- `name` - Product name\n- `url` - Product URL\n- `offers.price` - Current price\n- `offers.priceCurrency` - Currency code (may vary by seller region)\n- `brand.slogan` - Brand name (nested in object)\n- `image` - Product image URL\n- Additional seller\u002Fstock info when `additionalProperties: true`\n\n> **Note:** Currency may vary in results even for US searches, as prices reflect different seller regions.\n\n---\n\n## Workflow 2: Customer Reviews\n\n**Use case:** Extract reviews for sentiment analysis, brand perception monitoring, or quality issue detection.\n\n**Best for:** Brand managers, customer experience teams, QA teams, product managers.\n\n### Input Options\n\n| Input Type | Field | Description |\n|------------|-------|-------------|\n| Product URLs | `reviewListingUrls` | Product pages to extract reviews from |\n| Keyword Search | `keywordReviews` + `marketplacesReviews` | Search for product reviews by keyword |\n\n### Example - Extract Reviews from Product\n```json\n{\n  \"reviewListingUrls\": [\n    {\"url\": \"https:\u002F\u002Fwww.amazon.com\u002Fdp\u002FB09V3KXJPB\"}\n  ],\n  \"sortReview\": \"Most recent\",\n  \"additionalReviewProperties\": true,\n  \"maxReviewResults\": 500\n}\n```\n\n### Example - Keyword Search\n```json\n{\n  \"keywordReviews\": \"wireless earbuds\",\n  \"marketplacesReviews\": [\"www.amazon.com\"],\n  \"sortReview\": \"Most recent\",\n  \"additionalReviewProperties\": true,\n  \"maxReviewResults\": 200\n}\n```\n\n### Sort Options\n- `Most recent` - Latest reviews first (recommended)\n- `Most relevant` - Platform default relevance\n- `Most helpful` - Highest voted reviews\n- `Highest rated` - 5-star reviews first\n- `Lowest rated` - 1-star reviews first\n\n> **Note:** The `sortReview: \"Lowest rated\"` option may not work consistently across all marketplaces. For quality analysis, collect a large sample and filter by rating in post-processing.\n\n### Quality Analysis Tips\n- Set high `maxReviewResults` for statistical significance\n- Look for recurring keywords: \"broke\", \"defect\", \"quality\", \"returned\"\n- Filter results by rating if sorting doesn't work as expected\n- Cross-reference with competitor products for benchmarking\n\n---\n\n## Workflow 3: Seller Intelligence\n\n**Use case:** Find sellers across stores, discover unauthorized resellers, evaluate vendor options.\n\n**Best for:** Brand protection teams, procurement, supply chain managers.\n\n> **Note:** This workflow uses Google Shopping to find sellers across stores. Direct seller profile URLs are not reliably supported.\n\n### Input Configuration\n```json\n{\n  \"googleShoppingSearchKeyword\": \"Nike Air Max 90\",\n  \"scrapeSellersFromGoogleShopping\": true,\n  \"countryCode\": \"us\",\n  \"maxGoogleShoppingSellersPerProduct\": 20,\n  \"maxGoogleShoppingResults\": 100\n}\n```\n\n### Options\n| Field | Description |\n|-------|-------------|\n| `googleShoppingSearchKeyword` | Product name to search |\n| `scrapeSellersFromGoogleShopping` | Set to `true` to extract sellers |\n| `scrapeProductsFromGoogleShopping` | Set to `true` to also extract product details |\n| `countryCode` | Target country (e.g., `us`, `uk`, `de`) |\n| `maxGoogleShoppingSellersPerProduct` | Max sellers per product |\n| `maxGoogleShoppingResults` | Total result limit |\n\n---\n\n## Supported Marketplaces\n\n### Amazon (20+ regions)\n`www.amazon.com`, `www.amazon.co.uk`, `www.amazon.de`, `www.amazon.fr`, `www.amazon.it`, `www.amazon.es`, `www.amazon.ca`, `www.amazon.com.au`, `www.amazon.co.jp`, `www.amazon.in`, `www.amazon.com.br`, `www.amazon.com.mx`, `www.amazon.nl`, `www.amazon.pl`, `www.amazon.se`, `www.amazon.ae`, `www.amazon.sa`, `www.amazon.sg`, `www.amazon.com.tr`, `www.amazon.eg`\n\n### Major US Retailers\n`www.walmart.com`, `www.costco.com`, `www.costco.ca`, `www.homedepot.com`\n\n### European Retailers\n`allegro.pl`, `allegro.cz`, `allegro.sk`, `www.alza.cz`, `www.alza.sk`, `www.alza.de`, `www.alza.at`, `www.alza.hu`, `www.kaufland.de`, `www.kaufland.pl`, `www.kaufland.cz`, `www.kaufland.sk`, `www.kaufland.at`, `www.kaufland.fr`, `www.kaufland.it`, `www.cdiscount.com`\n\n### IKEA (40+ country\u002Flanguage combinations)\nSupports all major IKEA regional sites with multiple language options.\n\n### Google Shopping\nUse for seller discovery across multiple stores.\n\n---\n\n## Running the Extraction\n\n### Step 1: Set Skill Path\n```bash\nSKILL_PATH=~\u002F.claude\u002Fskills\u002Fapify-ecommerce\n```\n\n### Step 2: Run Script\n\n**Quick answer (display in chat):**\n```bash\nnode --env-file=~\u002F.claude\u002F.env $SKILL_PATH\u002Freference\u002Fscripts\u002Frun_actor.js \\\n  --actor \"apify\u002Fe-commerce-scraping-tool\" \\\n  --input 'JSON_INPUT'\n```\n\n**CSV export:**\n```bash\nnode --env-file=~\u002F.claude\u002F.env $SKILL_PATH\u002Freference\u002Fscripts\u002Frun_actor.js \\\n  --actor \"apify\u002Fe-commerce-scraping-tool\" \\\n  --input 'JSON_INPUT' \\\n  --output YYYY-MM-DD_filename.csv \\\n  --format csv\n```\n\n**JSON export:**\n```bash\nnode --env-file=~\u002F.claude\u002F.env $SKILL_PATH\u002Freference\u002Fscripts\u002Frun_actor.js \\\n  --actor \"apify\u002Fe-commerce-scraping-tool\" \\\n  --input 'JSON_INPUT' \\\n  --output YYYY-MM-DD_filename.json \\\n  --format json\n```\n\n### Step 3: Summarize Results\n\nReport:\n- Number of items extracted\n- File location (if exported)\n- Key insights based on workflow:\n  - **Products:** Price range, outliers, MAP violations\n  - **Reviews:** Average rating, sentiment trends, quality issues\n  - **Sellers:** Seller count, unauthorized sellers found\n\n---\n\n## Error Handling\n\n| Error | Solution |\n|-------|----------|\n| `APIFY_TOKEN not found` | Ensure `~\u002F.claude\u002F.env` contains `APIFY_TOKEN=your_token` |\n| `Actor not found` | Verify Actor ID: `apify\u002Fe-commerce-scraping-tool` |\n| `Run FAILED` | Check Apify console link in error output |\n| `Timeout` | Reduce `maxProductResults` or increase `--timeout` |\n| `No results` | Verify URLs are valid and accessible |\n| `Invalid marketplace` | Check marketplace value matches supported list exactly |\n\n## Limitations\n- Use this skill only when the task clearly matches the scope described above.\n- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.\n- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.\n","# E-commerce Data Extraction\n\nExtract product data, prices, reviews, and seller information from any e-commerce platform using Apify's E-commerce Scraping Tool.\n\n## When to Use\n- You need product, pricing, review, stock, or seller data from e-commerce sites.\n- The task involves price monitoring, competitor product comparison, MAP enforcement, or review analysis.\n- You need a guided workflow for extracting marketplace data and summarizing findings.\n\n## Prerequisites\n\n- `.env` file with `APIFY_TOKEN` (at `~\u002F.claude\u002F.env`)\n- Node.js 20.6+ (for native `--env-file` support)\n\n## Workflow Selection\n\n| User Need | Workflow | Best For |\n|-----------|----------|----------|\n| Track prices, compare products | Workflow 1: Products & Pricing | Price monitoring, MAP compliance, competitor analysis. Add AI summary for insights. |\n| Analyze reviews (sentiment or quality) | Workflow 2: Reviews | Brand perception, customer sentiment, quality issues, defect patterns |\n| Find sellers across stores | Workflow 3: Sellers | Unauthorized resellers, vendor discovery via Google Shopping |\n\n## Progress Tracking\n\n```\nTask Progress:\n- [ ] Step 1: Select workflow and determine data source\n- [ ] Step 2: Configure Actor input\n- [ ] Step 3: Ask user preferences (format, filename)\n- [ ] Step 4: Run the extraction script\n- [ ] Step 5: Summarize results\n```\n\n---\n\n## Workflow 1: Products & Pricing\n\n**Use case:** Extract product data, prices, and stock status. Track competitor prices, detect MAP violations, benchmark products, or research markets.\n\n**Best for:** Pricing analysts, product managers, market researchers.\n\n### Input Options\n\n| Input Type | Field | Description |\n|------------|-------|-------------|\n| Product URLs | `detailsUrls` | Direct URLs to product pages (use object format) |\n| Category URLs | `listingUrls` | URLs to category\u002Fsearch result pages |\n| Keyword Search | `keyword` + `marketplaces` | Search term across selected marketplaces |\n\n### Example - Product URLs\n```json\n{\n  \"detailsUrls\": [\n    {\"url\": \"https:\u002F\u002Fwww.amazon.com\u002Fdp\u002FB09V3KXJPB\"},\n    {\"url\": \"https:\u002F\u002Fwww.walmart.com\u002Fip\u002F123456789\"}\n  ],\n  \"additionalProperties\": true\n}\n```\n\n### Example - Keyword Search\n```json\n{\n  \"keyword\": \"Samsung Galaxy S24\",\n  \"marketplaces\": [\"www.amazon.com\", \"www.walmart.com\"],\n  \"additionalProperties\": true,\n  \"maxProductResults\": 50\n}\n```\n\n### Optional: AI Summary\n\nAdd these fields to get AI-generated insights:\n\n| Field | Description |\n|-------|-------------|\n| `fieldsToAnalyze` | Data points to analyze: `[\"name\", \"offers\", \"brand\", \"description\"]` |\n| `customPrompt` | Custom analysis instructions |\n\n**Example with AI summary:**\n```json\n{\n  \"keyword\": \"robot vacuum\",\n  \"marketplaces\": [\"www.amazon.com\"],\n  \"maxProductResults\": 50,\n  \"additionalProperties\": true,\n  \"fieldsToAnalyze\": [\"name\", \"offers\", \"brand\"],\n  \"customPrompt\": \"Summarize price range and identify top brands\"\n}\n```\n\n### Output Fields\n- `name` - Product name\n- `url` - Product URL\n- `offers.price` - Current price\n- `offers.priceCurrency` - Currency code (may vary by seller region)\n- `brand.slogan` - Brand name (nested in object)\n- `image` - Product image URL\n- Additional seller\u002Fstock info when `additionalProperties: true`\n\n> **Note:** Currency may vary in results even for US searches, as prices reflect different seller regions.\n\n---\n\n## Workflow 2: Customer Reviews\n\n**Use case:** Extract reviews for sentiment analysis, brand perception monitoring, or quality issue detection.\n\n**Best for:** Brand managers, customer experience teams, QA teams, product managers.\n\n### Input Options\n\n| Input Type | Field | Description |\n|------------|-------|-------------|\n| Product URLs | `reviewListingUrls` | Product pages to extract reviews from |\n| Keyword Search | `keywordReviews` + `marketplacesReviews` | Search for product reviews by keyword |\n\n### Example - Extract Reviews from Product\n```json\n{\n  \"reviewListingUrls\": [\n    {\"url\": \"https:\u002F\u002Fwww.amazon.com\u002Fdp\u002FB09V3KXJPB\"}\n  ],\n  \"sortReview\": \"Most recent\",\n  \"additionalReviewProperties\": true,\n  \"maxReviewResults\": 500\n}\n```\n\n### Example - Keyword Search\n```json\n{\n  \"keywordReviews\": \"wireless earbuds\",\n  \"marketplacesReviews\": [\"www.amazon.com\"],\n  \"sortReview\": \"Most recent\",\n  \"additionalReviewProperties\": true,\n  \"maxReviewResults\": 200\n}\n```\n\n### Sort Options\n- `Most recent` - Latest reviews first (recommended)\n- `Most relevant` - Platform default relevance\n- `Most helpful` - Highest voted reviews\n- `Highest rated` - 5-star reviews first\n- `Lowest rated` - 1-star reviews first\n\n> **Note:** The `sortReview: \"Lowest rated\"` option may not work consistently across all marketplaces. For quality analysis, collect a large sample and filter by rating in post-processing.\n\n### Quality Analysis Tips\n- Set high `maxReviewResults` for statistical significance\n- Look for recurring keywords: \"broke\", \"defect\", \"quality\", \"returned\"\n- Filter results by rating if sorting doesn't work as expected\n- Cross-reference with competitor products for benchmarking\n\n---\n\n## Workflow 3: Seller Intelligence\n\n**Use case:** Find sellers across stores, discover unauthorized resellers, evaluate vendor options.\n\n**Best for:** Brand protection teams, procurement, supply chain managers.\n\n> **Note:** This workflow uses Google Shopping to find sellers across stores. Direct seller profile URLs are not reliably supported.\n\n### Input Configuration\n```json\n{\n  \"googleShoppingSearchKeyword\": \"Nike Air Max 90\",\n  \"scrapeSellersFromGoogleShopping\": true,\n  \"countryCode\": \"us\",\n  \"maxGoogleShoppingSellersPerProduct\": 20,\n  \"maxGoogleShoppingResults\": 100\n}\n```\n\n### Options\n| Field | Description |\n|-------|-------------|\n| `googleShoppingSearchKeyword` | Product name to search |\n| `scrapeSellersFromGoogleShopping` | Set to `true` to extract sellers |\n| `scrapeProductsFromGoogleShopping` | Set to `true` to also extract product details |\n| `countryCode` | Target country (e.g., `us`, `uk`, `de`) |\n| `maxGoogleShoppingSellersPerProduct` | Max sellers per product |\n| `maxGoogleShoppingResults` | Total result limit |\n\n---\n\n## Supported Marketplaces\n\n### Amazon (20+ regions)\n`www.amazon.com`, `www.amazon.co.uk`, `www.amazon.de`, `www.amazon.fr`, `www.amazon.it`, `www.amazon.es`, `www.amazon.ca`, `www.amazon.com.au`, `www.amazon.co.jp`, `www.amazon.in`, `www.amazon.com.br`, `www.amazon.com.mx`, `www.amazon.nl`, `www.amazon.pl`, `www.amazon.se`, `www.amazon.ae`, `www.amazon.sa`, `www.amazon.sg`, `www.amazon.com.tr`, `www.amazon.eg`\n\n### Major US Retailers\n`www.walmart.com`, `www.costco.com`, `www.costco.ca`, `www.homedepot.com`\n\n### European Retailers\n`allegro.pl`, `allegro.cz`, `allegro.sk`, `www.alza.cz`, `www.alza.sk`, `www.alza.de`, `www.alza.at`, `www.alza.hu`, `www.kaufland.de`, `www.kaufland.pl`, `www.kaufland.cz`, `www.kaufland.sk`, `www.kaufland.at`, `www.kaufland.fr`, `www.kaufland.it`, `www.cdiscount.com`\n\n### IKEA (40+ country\u002Flanguage combinations)\nSupports all major IKEA regional sites with multiple language options.\n\n### Google Shopping\nUse for seller discovery across multiple stores.\n\n---\n\n## Running the Extraction\n\n### Step 1: Set Skill Path\n```bash\nSKILL_PATH=~\u002F.claude\u002Fskills\u002Fapify-ecommerce\n```\n\n### Step 2: Run Script\n\n**Quick answer (display in chat):**\n```bash\nnode --env-file=~\u002F.claude\u002F.env $SKILL_PATH\u002Freference\u002Fscripts\u002Frun_actor.js \\\n  --actor \"apify\u002Fe-commerce-scraping-tool\" \\\n  --input 'JSON_INPUT'\n```\n\n**CSV export:**\n```bash\nnode --env-file=~\u002F.claude\u002F.env $SKILL_PATH\u002Freference\u002Fscripts\u002Frun_actor.js \\\n  --actor \"apify\u002Fe-commerce-scraping-tool\" \\\n  --input 'JSON_INPUT' \\\n  --output YYYY-MM-DD_filename.csv \\\n  --format csv\n```\n\n**JSON export:**\n```bash\nnode --env-file=~\u002F.claude\u002F.env $SKILL_PATH\u002Freference\u002Fscripts\u002Frun_actor.js \\\n  --actor \"apify\u002Fe-commerce-scraping-tool\" \\\n  --input 'JSON_INPUT' \\\n  --output YYYY-MM-DD_filename.json \\\n  --format json\n```\n\n### Step 3: Summarize Results\n\nReport:\n- Number of items extracted\n- File location (if exported)\n- Key insights based on workflow:\n  - **Products:** Price range, outliers, MAP violations\n  - **Reviews:** Average rating, sentiment trends, quality issues\n  - **Sellers:** Seller count, unauthorized sellers found\n\n---\n\n## Error Handling\n\n| Error | Solution |\n|-------|----------|\n| `APIFY_TOKEN not found` | Ensure `~\u002F.claude\u002F.env` contains `APIFY_TOKEN=your_token` |\n| `Actor not found` | Verify Actor ID: `apify\u002Fe-commerce-scraping-tool` |\n| `Run FAILED` | Check Apify console link in error output |\n| `Timeout` | Reduce `maxProductResults` or increase `--timeout` |\n| `No results` | Verify URLs are valid and accessible |\n| `Invalid marketplace` | Check marketplace value matches supported list exactly |\n\n## Limitations\n- Use this skill only when the task clearly matches the scope described above.\n- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.\n- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.\n",{"name":5,"risk":24,"source":25,"date_added":26,"description":7},"critical","community","2026-09-04","main","d69096e239f2a89aabc2cd078c47664a9d3b1e11","03-逆向工程\u002Fapify-ecommerce",3,"https:\u002F\u002Fgithub.com\u002Flza6\u002FArmor-piercing-system-prompts","https:\u002F\u002Fgithub.com\u002Flza6","个人vx：Tf00798\r\n个人✈：@TFGY999","2026-10-08 14:29:22",{"source":8,"skillName":5,"commands":36,"prompt":46,"zipAvailable":47},[37,40,43],{"tool":38,"command":39},"npx","npx skills add lza6\u002FArmor-piercing-system-prompts --skill apify-ecommerce",{"tool":41,"command":42},"bunx","bunx skills add lza6\u002FArmor-piercing-system-prompts --skill apify-ecommerce",{"tool":44,"command":45},"pnpm","pnpm dlx skills add lza6\u002FArmor-piercing-system-prompts --skill apify-ecommerce","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Flza6\u002FArmor-piercing-system-prompts\u002Fblob\u002Fmain\u002F03-逆向工程\u002Fapify-ecommerce\u002FSKILL.md",true,[49],{"path":50,"resourceType":51,"resourceTypeDesc":52,"sizeBytes":53,"sourceHtmlUrl":54},"reference\u002Fscripts\u002Fpackage.json","REFERENCE","参考文档",23,"https:\u002F\u002Fgithub.com\u002Flza6\u002FArmor-piercing-system-prompts\u002Fblob\u002Fmain\u002F03-逆向工程\u002Fapify-ecommerce\u002Freference\u002Fscripts\u002Fpackage.json",[56,63,70,77,85,92],{"skillNo":57,"name":58,"nameZh":6,"description":59,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":60,"categories":61,"keywords":62,"publishedAt":19},"01M7EXRM12046G0GM1WGMMFXCN","ci-cd-and-automation","Automates CI\u002FCD pipeline setup. Use when setting up or modifying build and deployment pipelines. Use when you need to automate quality gates, configure test runners in CI, or establish deployment strategies.","https:\u002F\u002Fgithub.com\u002Flza6\u002FArmor-piercing-system-prompts\u002Fblob\u002Fmain\u002F05-技能与代理开发\u002Fci-cd-and-automation\u002FSKILL.md",[],[],{"skillNo":64,"name":65,"nameZh":6,"description":66,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":67,"categories":68,"keywords":69,"publishedAt":19},"01M7EXRFYYSJ3Y15AGPDDEWWQD","chrome-devtools","Uses Chrome DevTools via MCP for efficient debugging, troubleshooting and browser automation. Use when debugging web pages, automating browser interactions, analyzing performance, or inspecting network requests. This skill does not apply to `--slim` mode (MCP configuration).","https:\u002F\u002Fgithub.com\u002Flza6\u002FArmor-piercing-system-prompts\u002Fblob\u002Fmain\u002F05-技能与代理开发\u002Fchrome-devtools\u002FSKILL.md",[],[],{"skillNo":71,"name":72,"nameZh":6,"description":73,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":74,"categories":75,"keywords":76,"publishedAt":19},"01M7EXR6EYPE4X5X1BTAE6QJRV","chrome-cdp","Drive a real Chrome via the Chrome DevTools Protocol (CDP). Ensures a\ndebuggable Chrome is running (launching it if needed) so the agent can\nnavigate, read page content, inspect the DOM, run JavaScript, and take\nscreenshots — without the user typing any launch command. Includes a\nfirst-class \"review a live running app\" flow: point Chrome at the app under\ndevelopment and inspect\u002Fscreenshot the REAL page (what a static-artifact tool\ncannot do). Backed by Glimpse and the chrome-devtools MCP server. Use when\nasked to \"use chrome\", \"open chrome\", \"drive my browser\", \"read the page in\nchrome\", \"review the running app\", \"screenshot the app\", or \"\u002Fchrome-cdp\".","https:\u002F\u002Fgithub.com\u002Flza6\u002FArmor-piercing-system-prompts\u002Fblob\u002Fmain\u002F05-技能与代理开发\u002Fchrome-cdp\u002FSKILL.md",[],[],{"skillNo":78,"name":79,"nameZh":6,"description":80,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":81,"licenseFileUrl":6,"sourceHtmlUrl":82,"categories":83,"keywords":84,"publishedAt":19},"01M7EXR1Y7E79KQKG4J798XGH6","check-identity-pack","Run an AFP 100-point or AUSTRAC safe-harbour identity check over a set of documents, and report exactly what's missing. Use when the user asks to check identity documents, verify someone's ID for onboarding, or assess whether a document pack satisfies Australian identity requirements.","Apache-2.0","https:\u002F\u002Fgithub.com\u002Flza6\u002FArmor-piercing-system-prompts\u002Fblob\u002Fmain\u002F05-技能与代理开发\u002Fcheck-identity-pack\u002FSKILL.md",[],[],{"skillNo":86,"name":87,"nameZh":6,"description":88,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":89,"categories":90,"keywords":91,"publishedAt":19},"01M7EXQXW7C7PGREJW9ZZTZ16H","changelog","Auto-generates a changelog from git commits, sprint data, and design documents. Produces both internal and player-facing versions.","https:\u002F\u002Fgithub.com\u002Flza6\u002FArmor-piercing-system-prompts\u002Fblob\u002Fmain\u002F05-技能与代理开发\u002Fchangelog\u002FSKILL.md",[],[],{"skillNo":93,"name":94,"nameZh":6,"description":95,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":96,"categories":97,"keywords":98,"publishedAt":19},"01M7EXQMH2ZME3ANN8Q8MEWPFB","cellxgene-census","Query the CZ CELLxGENE Census programmatically for versioned public single-cell and spatial transcriptomics data. Use when you need population-scale cell metadata, gene expression slices, Census summary counts, source H5AD URIs\u002Fdownloads, embeddings, spatial Census data, or reference atlas comparisons across organisms, tissues, diseases, assays, and cell types. For analyzing your own local single-cell data use scanpy, anndata, or scvi-tools.","https:\u002F\u002Fgithub.com\u002Flza6\u002FArmor-piercing-system-prompts\u002Fblob\u002Fmain\u002F05-技能与代理开发\u002Fcellxgene-census\u002FSKILL.md",[],[]]