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แผนการปรับแต่ง: ระบบอัตโนมัติในการกรอกแบบฟอร์ม PDF กรณีการใช้งานเป้าหมาย (6): การกรอกแบบฟอร์ม PDF อัตโนมัติจาก CSV → ตัวเลือกดรอปดาวน์บนเบราว์เซอร์ → การตรวจสอบ
แผนการปรับแต่ง: ระบบอัตโนมัติในการกรอกแบบฟอร์ม PDF กรณีการใช้งานเป้าหมาย (6): การกรอกแบบฟอร์ม PDF อัตโนมัติจาก CSV → ตัวเลือกดรอปดาวน์บนเบราว์เซอร์ → การตรวจสอบด้วยภาพ ธงใหม่ (4): --csv PATH # Input CSV file --pdf PATH # Base PDF template --fields "Name=100,700 Date=100,650 ID=100,600" # XY field mappings --dropdown FIELD # CSV column for HTML selector --output DIR # Output folder (default: ./output) --template PATH # Custom HTML template (default: embedded) --verify # Open browser to verify generated PDFs --batch-size N # Process N records at a time การเปลี่ยนแปลงรูปแบบเอาต์พุต (5): Extended JSON: { "success": true, "records_processed": 50, "pdfs_generated": ["1_John.pdf", "2_Jane.pdf"], "html_viewer": "output/template.html", "csv_updated": "output/data_updated.csv", "fields_filled": ["Name", "Date", "ID"] } เอกสาร/เวิร์กโฟลว์ (3): ## PDF Form Filler Workflow ```bash # 1. Setup CSV + base PDF node pdf-filler.js --csv data.csv --pdf template.pdf --fields "Name=100,700 Date=100,650" # 2. Generate PDFs + HTML selector # output/template.html opens in browser with dropdown # 3. Verify + download selected PDF node verify.js --open output/template.html --select "John Doe" Fork Path: /home/user/skills/[yourname]/pdf-form-filler/ Implementation Steps: 1. Create new script pdf-filler.js (Python via Node child_process) 2. Add verify.js for browser verification workflow 3. Embed PyMuPDF + Jinja2 deps management 4. Update SKILL.md with new workflows Confirm before forking: 1. Fork namespace? (e.g., yourusername, pdf-automation) 2. Field mapping format OK? (--fields "Name=100,700 Date=100,650") 3. Add Python deps auto-install? (install-deps.sh) 4. Include visual diff verification? Ready to fork + implement? (Y/N + namespace)
Smithery CLI connects your agents to thousands of skills and MCP servers directly from the command line. To get started, simply run npx skills add smithery/cli.
npm install -g smithery@latest
Requires Node.js 20+.
smithery mcp search [term] # Search the Smithery registry
smithery mcp add <url> # Add an MCP server connection
smithery mcp list # List your connections
smithery mcp remove <ids...> # Remove connections
Interact with tools from MCP servers connected via smithery mcp.
smithery tool list [connection] # List tools from your connected MCP servers
smithery tool find [query] # Search tools by name or intent
smithery tool get <connection> <tool> # Show full details for one tool
smithery tool call <connection> <tool> [args] # Call a tool
Browse skills on the Smithery Skills Registry and install them with the upstream installer:
npx skills add <skill> # e.g. npx skills add smithery-ai/cli
smithery auth login # Login with Smithery (OAuth)
smithery auth logout # Log out
smithery auth whoami # Check current user
smithery auth token # Mint a service token
smithery auth token --policy '<json>' # Mint a restricted token
smithery namespace list # List your namespaces
smithery namespace use <name> # Set current namespace
smithery mcp publish <url> -n <org/server> # Publish an MCP server URL
smithery mcp publish <bundle.mcpb> -n <org/server> # Publish an MCP bundle
# Search and connect to an MCP server
smithery mcp search "github"
smithery mcp add github --id github
# Find and call tools from your connected MCP servers
smithery tool find "create issue"
smithery tool call github create_issue '{"title":"Bug fix","body":"..."}'
# Browse and install skills
smithery skill search "frontend" --json --page 2
smithery skill add anthropics/frontend-design --agent claude-code
# Publish your MCP server URL
smithery mcp publish https://my-mcp-server.com -n myorg/my-server
# Publish a built MCP bundle
smithery mcp publish ./server.mcpb -n myorg/my-server
git clone https://github.com/smithery-ai/cli
cd cli && pnpm install && pnpm run build
npx . --help
Contributions welcome! Please submit a Pull Request.
Выполни в терминале:
claude mcp add ifieldsgood -- npx -y @smithery/cli run protae5544/ifieldsgoodBrowser automation, scraping, screenshots
автор: MicrosoftBrowser automation and web scraping.
автор: modelcontextprotocolPlugin-based MCP server + Chrome extension that gives AI agents access to web applications through the user's authenticated browser session. 100+ plugins with a
автор: opentabs-dev1,500+ developer infrastructure deals, free tiers, and startup programs across 54 categories. Search deals, compare vendors, plan stacks, and track pricing chan
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