[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M7BXM236DSFWGA4HGRR2CSED":3,"skill-same:01M7BXM236DSFWGA4HGRR2CSED":77},{"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":34,"commitSha":35,"skillDirectory":36,"forksCount":37,"repositoryHtmlUrl":38,"repositoryHomepageUrl":39,"ownerHtmlUrl":40,"ownerBlogUrl":6,"ownerDescription":41,"updatedAt":42,"install":43,"resources":56},"01M7BXM236DSFWGA4HGRR2CSED","glmocr",null,"Extract text from images using GLM-OCR API. Supports images and PDFs with high accuracy OCR, table recognition, formula extraction, and handwriting recognition. Use this skill whenever the user wants to extract text from images, perform OCR on pictures, scan documents, convert images to text, or process any image files to get their textual content.","YYC-Cube\u002FYYC3-Knowledge-Base","YYC-Cube","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F235006543?v=4","01M79J2PH4SWD2X0825X6PN748","yyc3","01M79J2PHVK3F6ZBYT8K2SCZCW",1,"MIT","https:\u002F\u002Fgithub.com\u002FYYC-Cube\u002FYYC3-Knowledge-Base\u002Fblob\u002Fmain\u002FYYC3-Skills-技能包\u002FYYC3-Skills-技能包-GLM-skills\u002Fskills\u002Fglmocr\u002FSKILL.md",[],[],"2026-11-15 14:19:17",false,"---\nname: glmocr\ndescription:\n  Extract text from images using GLM-OCR API. Supports images and PDFs with\n  high accuracy OCR, table recognition, formula extraction, and handwriting recognition.\n  Use this skill whenever the user wants to extract text from images, perform OCR on\n  pictures, scan documents, convert images to text, or process any image files to get\n  their textual content.\nmetadata:\n  openclaw:\n    requires:\n      env:\n        - ZHIPU_API_KEY\n        - GLM_OCR_TIMEOUT\n      bins:\n        - python\n    primaryEnv: ZHIPU_API_KEY\n    emoji: \"📄\"\n    homepage: https:\u002F\u002Fgithub.com\u002Fzai-org\u002FGLM-OCR\u002Ftree\u002Fmain\u002Fskills\u002Fglmocr\n---\n\n# GLM-OCR Text Extraction Skill\n\nExtract text from images and PDFs using the GLM-OCR layout parsing API.\n\n## When to Use\n\n- Extract text from images (PNG, JPG, PDF)\n- Convert screenshots to text\n- Process scanned documents\n- OCR photos containing text (including handwritten text)\n- Recognize tables and formulas in documents\n- User mentions \"OCR\", \"文字识别\", \"文档解析\"\n\n## Key Features\n\n- **Table recognition**: Detects and converts tables to Markdown format\n- **Formula extraction**: LaTeX format output\n- **Handwriting support**: Strong recognition for handwritten text\n- **Local file & URL**: Supports both local files and remote URLs\n\n## Resource Links\n\n| Resource | Link |\n|----------|------|\n| **Get API Key** | [https:\u002F\u002Fwww.bigmodel.cn\u002Fusercenter\u002Fproj-mgmt\u002Fapikeys](https:\u002F\u002Fwww.bigmodel.cn\u002Fusercenter\u002Fproj-mgmt\u002Fapikeys) |\n| **GitHub** | [https:\u002F\u002Fgithub.com\u002Fzai-org\u002FGLM-OCR](https:\u002F\u002Fgithub.com\u002Fzai-org\u002FGLM-OCR) |\n\n## Prerequisites\n\n- ZHIPU_API_KEY configured (see Setup below)\n\n## Security Notes\n\n- No runtime package installation is performed by the scripts.\n- OCR requests use the fixed official GLM endpoint and do not accept custom API URLs.\n- Only `ZHIPU_API_KEY` (and optional timeout) is read from environment variables.\n\n**⛔ MANDATORY RESTRICTIONS - DO NOT VIOLATE ⛔**\n\n1. **ONLY use GLM-OCR API** - Execute the script `python scripts\u002Fglm_ocr_cli.py`\n2. **NEVER parse documents directly** - Do NOT try to extract text yourself\n3. **NEVER offer alternatives** - Do NOT suggest \"I can try to analyze it\" or similar\n4. **IF API fails** - Display the error message and STOP immediately\n5. **NO fallback methods** - Do NOT attempt text extraction any other way\n\n## Setup\n\n1. Get your API key: [https:\u002F\u002Fwww.bigmodel.cn\u002Fusercenter\u002Fproj-mgmt\u002Fapikeys](https:\u002F\u002Fwww.bigmodel.cn\u002Fusercenter\u002Fproj-mgmt\u002Fapikeys)\n2. Configure:\n   ```bash\n   python scripts\u002Fconfig_setup.py setup --api-key YOUR_KEY\n   ```\n\n## How to Use\n\n### Extract from URL\n\n```bash\npython scripts\u002Fglm_ocr_cli.py --file-url \"URL provided by user\"\n```\n\n### Extract from Local File\n\n```bash\npython scripts\u002Fglm_ocr_cli.py --file \u002Fpath\u002Fto\u002Fimage.jpg\n```\n\n### Save result to file (recommended)\n\n```bash\npython scripts\u002Fglm_ocr_cli.py --file-url \"URL\" --output result.json\n```\n\n## CLI Reference\n\n```\npython {baseDir}\u002Fscripts\u002Fglm_ocr_cli.py (--file-url URL | --file PATH) [--output FILE] [--pretty]\n```\n\n| Parameter | Required | Description |\n|-----------|----------|-------------|\n| `--file-url` | One of | URL to image\u002FPDF |\n| `--file` | One of | Local file path to image\u002FPDF |\n| `--output`, `-o` | No | Save result JSON to file |\n| `--pretty` | No | Pretty-print JSON output |\n\n## Response Format\n\n```json\n{\n  \"ok\": true,\n  \"text\": \"# Extracted text in Markdown...\",\n  \"layout_details\": [[...]],\n  \"result\": { \"raw_api_response\": \"...\" },\n  \"error\": null,\n  \"source\": \"\u002Fpath\u002Fto\u002Ffile.jpg\",\n  \"source_type\": \"file\"\n}\n```\n\nKey fields:\n- `ok` — whether extraction succeeded\n- `text` — extracted text in Markdown (use this for display)\n- `layout_details` — layout analysis details\n- `result` — raw API response\n- `error` — error details on failure\n\n## Error Handling\n\n**API key not configured:**\n```\nError: ZHIPU_API_KEY not configured. Get your API key at: https:\u002F\u002Fwww.bigmodel.cn\u002Fusercenter\u002Fproj-mgmt\u002Fapikeys\n```\n→ Show exact error to user, guide them to configure\n\n**Authentication failed (401\u002F403):** API key invalid\u002Fexpired → reconfigure\n\n**Rate limit (429):** Quota exhausted → inform user to wait\n\n**File not found:** Local file missing → check path\n\n## Reference\n\n- `references\u002Foutput_schema.md` — detailed output format specification\n","# GLM-OCR Text Extraction Skill\n\nExtract text from images and PDFs using the GLM-OCR layout parsing API.\n\n## When to Use\n\n- Extract text from images (PNG, JPG, PDF)\n- Convert screenshots to text\n- Process scanned documents\n- OCR photos containing text (including handwritten text)\n- Recognize tables and formulas in documents\n- User mentions \"OCR\", \"文字识别\", \"文档解析\"\n\n## Key Features\n\n- **Table recognition**: Detects and converts tables to Markdown format\n- **Formula extraction**: LaTeX format output\n- **Handwriting support**: Strong recognition for handwritten text\n- **Local file & URL**: Supports both local files and remote URLs\n\n## Resource Links\n\n| Resource | Link |\n|----------|------|\n| **Get API Key** | [https:\u002F\u002Fwww.bigmodel.cn\u002Fusercenter\u002Fproj-mgmt\u002Fapikeys](https:\u002F\u002Fwww.bigmodel.cn\u002Fusercenter\u002Fproj-mgmt\u002Fapikeys) |\n| **GitHub** | [https:\u002F\u002Fgithub.com\u002Fzai-org\u002FGLM-OCR](https:\u002F\u002Fgithub.com\u002Fzai-org\u002FGLM-OCR) |\n\n## Prerequisites\n\n- ZHIPU_API_KEY configured (see Setup below)\n\n## Security Notes\n\n- No runtime package installation is performed by the scripts.\n- OCR requests use the fixed official GLM endpoint and do not accept custom API URLs.\n- Only `ZHIPU_API_KEY` (and optional timeout) is read from environment variables.\n\n**⛔ MANDATORY RESTRICTIONS - DO NOT VIOLATE ⛔**\n\n1. **ONLY use GLM-OCR API** - Execute the script `python scripts\u002Fglm_ocr_cli.py`\n2. **NEVER parse documents directly** - Do NOT try to extract text yourself\n3. **NEVER offer alternatives** - Do NOT suggest \"I can try to analyze it\" or similar\n4. **IF API fails** - Display the error message and STOP immediately\n5. **NO fallback methods** - Do NOT attempt text extraction any other way\n\n## Setup\n\n1. Get your API key: [https:\u002F\u002Fwww.bigmodel.cn\u002Fusercenter\u002Fproj-mgmt\u002Fapikeys](https:\u002F\u002Fwww.bigmodel.cn\u002Fusercenter\u002Fproj-mgmt\u002Fapikeys)\n2. Configure:\n   ```bash\n   python scripts\u002Fconfig_setup.py setup --api-key YOUR_KEY\n   ```\n\n## How to Use\n\n### Extract from URL\n\n```bash\npython scripts\u002Fglm_ocr_cli.py --file-url \"URL provided by user\"\n```\n\n### Extract from Local File\n\n```bash\npython scripts\u002Fglm_ocr_cli.py --file \u002Fpath\u002Fto\u002Fimage.jpg\n```\n\n### Save result to file (recommended)\n\n```bash\npython scripts\u002Fglm_ocr_cli.py --file-url \"URL\" --output result.json\n```\n\n## CLI Reference\n\n```\npython {baseDir}\u002Fscripts\u002Fglm_ocr_cli.py (--file-url URL | --file PATH) [--output FILE] [--pretty]\n```\n\n| Parameter | Required | Description |\n|-----------|----------|-------------|\n| `--file-url` | One of | URL to image\u002FPDF |\n| `--file` | One of | Local file path to image\u002FPDF |\n| `--output`, `-o` | No | Save result JSON to file |\n| `--pretty` | No | Pretty-print JSON output |\n\n## Response Format\n\n```json\n{\n  \"ok\": true,\n  \"text\": \"# Extracted text in Markdown...\",\n  \"layout_details\": [[...]],\n  \"result\": { \"raw_api_response\": \"...\" },\n  \"error\": null,\n  \"source\": \"\u002Fpath\u002Fto\u002Ffile.jpg\",\n  \"source_type\": \"file\"\n}\n```\n\nKey fields:\n- `ok` — whether extraction succeeded\n- `text` — extracted text in Markdown (use this for display)\n- `layout_details` — layout analysis details\n- `result` — raw API response\n- `error` — error details on failure\n\n## Error Handling\n\n**API key not configured:**\n```\nError: ZHIPU_API_KEY not configured. Get your API key at: https:\u002F\u002Fwww.bigmodel.cn\u002Fusercenter\u002Fproj-mgmt\u002Fapikeys\n```\n→ Show exact error to user, guide them to configure\n\n**Authentication failed (401\u002F403):** API key invalid\u002Fexpired → reconfigure\n\n**Rate limit (429):** Quota exhausted → inform user to wait\n\n**File not found:** Local file missing → check path\n\n## Reference\n\n- `references\u002Foutput_schema.md` — detailed output format specification\n",{"name":5,"metadata":24,"description":7},{"openclaw":25},{"emoji":26,"homepage":27,"requires":28,"primaryEnv":30},"📄","https:\u002F\u002Fgithub.com\u002Fzai-org\u002FGLM-OCR\u002Ftree\u002Fmain\u002Fskills\u002Fglmocr",{"env":29,"bins":32},[30,31],"ZHIPU_API_KEY","GLM_OCR_TIMEOUT",[33],"python","main","87afe6ce96220accf50a345dea46784c8c9f210e","YYC3-Skills-技能包\u002FYYC3-Skills-技能包-GLM-skills\u002Fskills\u002Fglmocr",0,"https:\u002F\u002Fgithub.com\u002FYYC-Cube\u002FYYC3-Knowledge-Base","https:\u002F\u002Fkb.yyc3.top\u002F","https:\u002F\u002Fgithub.com\u002FYYC-Cube","万象归元于云枢 | 深栈智启新纪元","2026-11-10 10:37:32",{"source":8,"skillName":5,"commands":44,"prompt":54,"zipAvailable":55},[45,48,51],{"tool":46,"command":47},"npx","npx skills add YYC-Cube\u002FYYC3-Knowledge-Base --skill glmocr",{"tool":49,"command":50},"bunx","bunx skills add YYC-Cube\u002FYYC3-Knowledge-Base --skill glmocr",{"tool":52,"command":53},"pnpm","pnpm dlx skills add YYC-Cube\u002FYYC3-Knowledge-Base --skill glmocr","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FYYC-Cube\u002FYYC3-Knowledge-Base\u002Fblob\u002Fmain\u002FYYC3-Skills-技能包\u002FYYC3-Skills-技能包-GLM-skills\u002Fskills\u002Fglmocr\u002FSKILL.md",true,[57,63,69,73],{"path":58,"resourceType":59,"resourceTypeDesc":60,"sizeBytes":61,"sourceHtmlUrl":62},"references\u002Foutput_schema.md","REFERENCE","参考文档",3593,"https:\u002F\u002Fgithub.com\u002FYYC-Cube\u002FYYC3-Knowledge-Base\u002Fblob\u002Fmain\u002FYYC3-Skills-技能包\u002FYYC3-Skills-技能包-GLM-skills\u002Fskills\u002Fglmocr\u002Freferences\u002Foutput_schema.md",{"path":64,"resourceType":65,"resourceTypeDesc":66,"sizeBytes":67,"sourceHtmlUrl":68},"scripts\u002Fconfig_setup.py","SCRIPT","脚本",7583,"https:\u002F\u002Fgithub.com\u002FYYC-Cube\u002FYYC3-Knowledge-Base\u002Fblob\u002Fmain\u002FYYC3-Skills-技能包\u002FYYC3-Skills-技能包-GLM-skills\u002Fskills\u002Fglmocr\u002Fscripts\u002Fconfig_setup.py",{"path":70,"resourceType":65,"resourceTypeDesc":66,"sizeBytes":71,"sourceHtmlUrl":72},"scripts\u002Fglm_ocr_cli.py",12971,"https:\u002F\u002Fgithub.com\u002FYYC-Cube\u002FYYC3-Knowledge-Base\u002Fblob\u002Fmain\u002FYYC3-Skills-技能包\u002FYYC3-Skills-技能包-GLM-skills\u002Fskills\u002Fglmocr\u002Fscripts\u002Fglm_ocr_cli.py",{"path":74,"resourceType":65,"resourceTypeDesc":66,"sizeBytes":75,"sourceHtmlUrl":76},"scripts\u002Frequirements.txt",17,"https:\u002F\u002Fgithub.com\u002FYYC-Cube\u002FYYC3-Knowledge-Base\u002Fblob\u002Fmain\u002FYYC3-Skills-技能包\u002FYYC3-Skills-技能包-GLM-skills\u002Fskills\u002Fglmocr\u002Fscripts\u002Frequirements.txt",[78,85,92,99,106,113],{"skillNo":79,"name":80,"nameZh":6,"description":81,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":82,"categories":83,"keywords":84,"publishedAt":19},"01M7CTDWHERCXPQCP0K03A86AS","vercel-sandbox","Run agent-browser + Chrome inside Vercel Sandbox microVMs for browser automation from any Vercel-deployed app. Use when the user needs browser automation in a Vercel app (Next.js, SvelteKit, Nuxt, Remix, Astro, etc.), wants to run headless Chrome without binary size limits, needs persistent browser sessions across commands, or wants ephemeral isolated browser environments. Triggers include \"Vercel Sandbox browser\", \"microVM Chrome\", \"agent-browser in sandbox\", \"browser automation on Vercel\", or any task requiring Chrome in a Vercel Sandbox.","https:\u002F\u002Fgithub.com\u002FYYC-Cube\u002FYYC3-Knowledge-Base\u002Fblob\u002Fmain\u002FYYC3-WebSpec-Web标准\u002FYYC3-WebSpec-Web标准-standards\u002Fbrowser-agent\u002Fskills\u002Fvercel-sandbox\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},"01M7CTD8D2BNJY54S65M47HEJA","slack","Interact with Slack workspaces using browser automation. Use when the user needs to check unread channels, navigate Slack, send messages, extract data, find information, search conversations, or automate any Slack task. Triggers include \"check my Slack\", \"what channels have unreads\", \"send a message to\", \"search Slack for\", \"extract from Slack\", \"find who said\", or any task requiring programmatic Slack interaction.","https:\u002F\u002Fgithub.com\u002FYYC-Cube\u002FYYC3-Knowledge-Base\u002Fblob\u002Fmain\u002FYYC3-WebSpec-Web标准\u002FYYC3-WebSpec-Web标准-standards\u002Fbrowser-agent\u002Fskills\u002Fslack\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},"01M7CTCSSB8ZP3Q58C3YZDZK1W","electron","Automate Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify, etc.) using agent-browser via Chrome DevTools Protocol. Use when the user needs to interact with an Electron app, automate a desktop app, connect to a running app, control a native app, or test an Electron application. Triggers include \"automate Slack app\", \"control VS Code\", \"interact with Discord app\", \"test this Electron app\", \"connect to desktop app\", or any task requiring automation of a native Electron application.","https:\u002F\u002Fgithub.com\u002FYYC-Cube\u002FYYC3-Knowledge-Base\u002Fblob\u002Fmain\u002FYYC3-WebSpec-Web标准\u002FYYC3-WebSpec-Web标准-standards\u002Fbrowser-agent\u002Fskills\u002Felectron\u002FSKILL.md",[],[],{"skillNo":100,"name":101,"nameZh":6,"description":102,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":103,"categories":104,"keywords":105,"publishedAt":19},"01M7CTCBJY76688V4DCZGWFHGQ","dogfood","Systematically explore and test a web application to find bugs, UX issues, and other problems. Use when asked to \"dogfood\", \"QA\", \"exploratory test\", \"find issues\", \"bug hunt\", \"test this app\u002Fsite\u002Fplatform\", or review the quality of a web application. Produces a structured report with full reproduction evidence -- step-by-step screenshots, repro videos, and detailed repro steps for every issue -- so findings can be handed directly to the responsible teams.","https:\u002F\u002Fgithub.com\u002FYYC-Cube\u002FYYC3-Knowledge-Base\u002Fblob\u002Fmain\u002FYYC3-WebSpec-Web标准\u002FYYC3-WebSpec-Web标准-standards\u002Fbrowser-agent\u002Fskills\u002Fdogfood\u002FSKILL.md",[],[],{"skillNo":107,"name":108,"nameZh":6,"description":109,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":110,"categories":111,"keywords":112,"publishedAt":19},"01M7CTC4H0FFGVEAQR9PA4GA1A","agent-browser","Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to \"open a website\", \"fill out a form\", \"click a button\", \"take a screenshot\", \"scrape data from a page\", \"test this web app\", \"login to a site\", \"automate browser actions\", or any task requiring programmatic web interaction.","https:\u002F\u002Fgithub.com\u002FYYC-Cube\u002FYYC3-Knowledge-Base\u002Fblob\u002Fmain\u002FYYC3-WebSpec-Web标准\u002FYYC3-WebSpec-Web标准-standards\u002Fbrowser-agent\u002Fskills\u002Fagent-browser\u002FSKILL.md",[],[],{"skillNo":114,"name":115,"nameZh":6,"description":116,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":117,"categories":118,"keywords":119,"publishedAt":19},"01M7CTBKVFYBG78FDSABSDJTTQ","shadcn","Manages shadcn components and projects — adding, searching, fixing, debugging, styling, and composing UI, including chat interfaces. Provides project context, component docs, and usage examples. Applies when working with shadcn\u002Fui, component registries, presets, --preset codes, or any project with a components.json file. Also triggers for \"shadcn init\", \"create an app with --preset\", \"switch to --preset\", and for building a design system or applying a DESIGN.md or brand spec to shadcn\u002Fui.","https:\u002F\u002Fgithub.com\u002FYYC-Cube\u002FYYC3-Knowledge-Base\u002Fblob\u002Fmain\u002FYYC3-UI-界面组件\u002FYYC3-UI-界面组件-ui\u002Fskills\u002Fshadcn\u002FSKILL.md",[],[]]