[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6F7MDCSGKR8MSXJNHSZAR32":3,"skill-same:01M6F7MDCSGKR8MSXJNHSZAR32":73},{"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":41,"linkOnly":42,"markdownContent":43,"markdownBody":44,"frontMatter":45,"refName":50,"commitSha":51,"skillDirectory":52,"forksCount":53,"repositoryHtmlUrl":54,"repositoryHomepageUrl":6,"ownerHtmlUrl":55,"ownerBlogUrl":56,"ownerDescription":57,"updatedAt":58,"install":59,"resources":72},"01M6F7MDCSGKR8MSXJNHSZAR32","langchain-hello-world",null,"Create a minimal working LangChain example.\nUse when starting a new LangChain integration, testing your setup,\nor learning basic LangChain patterns with chains and prompts.\nTrigger with phrases like \"langchain hello world\", \"langchain example\",\n\"langchain quick start\", \"simple langchain code\", \"first langchain app\".","Dicklesworthstone\u002Fpi_agent_rust","Dicklesworthstone","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F35050222?v=4","01M6CG26AR942CSVMN1M5E3DSE","Jeff Emanuel","01M6CG26EPP71PSHW1VDS71121",1991,"MIT","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Fplugins-community\u002Fplugins\u002Fsaas-packs\u002Flangchain-pack\u002Fskills\u002Flangchain-hello-world\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40],"hello world","hello","langchain hello world","langchain","world","new","testing","when","quick","quick start","trigger","io","app","basic","patterns","example","edit","write","read","start","code","create","2026-11-10 10:12:30",false,"---\nname: langchain-hello-world\ndescription: |\n  Create a minimal working LangChain example.\n  Use when starting a new LangChain integration, testing your setup,\n  or learning basic LangChain patterns with chains and prompts.\n  Trigger with phrases like \"langchain hello world\", \"langchain example\",\n  \"langchain quick start\", \"simple langchain code\", \"first langchain app\".\nallowed-tools: Read, Write, Edit\nversion: 1.0.0\nlicense: MIT\nauthor: Jeremy Longshore \u003Cjeremy@intentsolutions.io>\n---\n\n# LangChain Hello World\n\n## Overview\nMinimal working example demonstrating core LangChain functionality with chains and prompts.\n\n## Prerequisites\n- Completed `langchain-install-auth` setup\n- Valid LLM provider API credentials configured\n- Python 3.9+ or Node.js 18+ environment ready\n\n## Instructions\n\n### Step 1: Create Entry File\nCreate a new file `hello_langchain.py` for your hello world example.\n\n### Step 2: Import and Initialize\n```python\nfrom langchain_openai import ChatOpenAI\nfrom langchain_core.prompts import ChatPromptTemplate\n\nllm = ChatOpenAI(model=\"gpt-4o-mini\")\n```\n\n### Step 3: Create Your First Chain\n```python\nfrom langchain_core.output_parsers import StrOutputParser\n\nprompt = ChatPromptTemplate.from_messages([\n    (\"system\", \"You are a helpful assistant.\"),\n    (\"user\", \"{input}\")\n])\n\nchain = prompt | llm | StrOutputParser()\n\nresponse = chain.invoke({\"input\": \"Hello, LangChain!\"})\nprint(response)\n```\n\n## Output\n- Working Python file with LangChain chain\n- Successful LLM response confirming connection\n- Console output showing:\n```\nHello! I'm your LangChain-powered assistant. How can I help you today?\n```\n\n## Error Handling\n| Error | Cause | Solution |\n|-------|-------|----------|\n| Import Error | SDK not installed | Run `pip install langchain langchain-openai` |\n| Auth Error | Invalid credentials | Check environment variable is set |\n| Timeout | Network issues | Increase timeout or check connectivity |\n| Rate Limit | Too many requests | Wait and retry with exponential backoff |\n| Model Not Found | Invalid model name | Check available models in provider docs |\n\n## Examples\n\n### Simple Chain (Python)\n```python\nfrom langchain_openai import ChatOpenAI\nfrom langchain_core.prompts import ChatPromptTemplate\nfrom langchain_core.output_parsers import StrOutputParser\n\nllm = ChatOpenAI(model=\"gpt-4o-mini\")\nprompt = ChatPromptTemplate.from_template(\"Tell me a joke about {topic}\")\nchain = prompt | llm | StrOutputParser()\n\nresult = chain.invoke({\"topic\": \"programming\"})\nprint(result)\n```\n\n### With Memory (Python)\n```python\nfrom langchain_openai import ChatOpenAI\nfrom langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder\nfrom langchain_core.messages import HumanMessage, AIMessage\n\nllm = ChatOpenAI(model=\"gpt-4o-mini\")\nprompt = ChatPromptTemplate.from_messages([\n    (\"system\", \"You are a helpful assistant.\"),\n    MessagesPlaceholder(variable_name=\"history\"),\n    (\"user\", \"{input}\")\n])\n\nchain = prompt | llm\n\nhistory = []\nresponse = chain.invoke({\"input\": \"Hi!\", \"history\": history})\nprint(response.content)\n```\n\n### TypeScript Example\n```typescript\nimport { ChatOpenAI } from \"@langchain\u002Fopenai\";\nimport { ChatPromptTemplate } from \"@langchain\u002Fcore\u002Fprompts\";\nimport { StringOutputParser } from \"@langchain\u002Fcore\u002Foutput_parsers\";\n\nconst llm = new ChatOpenAI({ modelName: \"gpt-4o-mini\" });\nconst prompt = ChatPromptTemplate.fromTemplate(\"Tell me about {topic}\");\nconst chain = prompt.pipe(llm).pipe(new StringOutputParser());\n\nconst result = await chain.invoke({ topic: \"LangChain\" });\nconsole.log(result);\n```\n\n## Resources\n- [LangChain LCEL Guide](https:\u002F\u002Fpython.langchain.com\u002Fdocs\u002Fconcepts\u002Flcel\u002F)\n- [Prompt Templates](https:\u002F\u002Fpython.langchain.com\u002Fdocs\u002Fconcepts\u002Fprompt_templates\u002F)\n- [Output Parsers](https:\u002F\u002Fpython.langchain.com\u002Fdocs\u002Fconcepts\u002Foutput_parsers\u002F)\n\n## Next Steps\nProceed to `langchain-local-dev-loop` for development workflow setup.\n","# LangChain Hello World\n\n## Overview\nMinimal working example demonstrating core LangChain functionality with chains and prompts.\n\n## Prerequisites\n- Completed `langchain-install-auth` setup\n- Valid LLM provider API credentials configured\n- Python 3.9+ or Node.js 18+ environment ready\n\n## Instructions\n\n### Step 1: Create Entry File\nCreate a new file `hello_langchain.py` for your hello world example.\n\n### Step 2: Import and Initialize\n```python\nfrom langchain_openai import ChatOpenAI\nfrom langchain_core.prompts import ChatPromptTemplate\n\nllm = ChatOpenAI(model=\"gpt-4o-mini\")\n```\n\n### Step 3: Create Your First Chain\n```python\nfrom langchain_core.output_parsers import StrOutputParser\n\nprompt = ChatPromptTemplate.from_messages([\n    (\"system\", \"You are a helpful assistant.\"),\n    (\"user\", \"{input}\")\n])\n\nchain = prompt | llm | StrOutputParser()\n\nresponse = chain.invoke({\"input\": \"Hello, LangChain!\"})\nprint(response)\n```\n\n## Output\n- Working Python file with LangChain chain\n- Successful LLM response confirming connection\n- Console output showing:\n```\nHello! I'm your LangChain-powered assistant. How can I help you today?\n```\n\n## Error Handling\n| Error | Cause | Solution |\n|-------|-------|----------|\n| Import Error | SDK not installed | Run `pip install langchain langchain-openai` |\n| Auth Error | Invalid credentials | Check environment variable is set |\n| Timeout | Network issues | Increase timeout or check connectivity |\n| Rate Limit | Too many requests | Wait and retry with exponential backoff |\n| Model Not Found | Invalid model name | Check available models in provider docs |\n\n## Examples\n\n### Simple Chain (Python)\n```python\nfrom langchain_openai import ChatOpenAI\nfrom langchain_core.prompts import ChatPromptTemplate\nfrom langchain_core.output_parsers import StrOutputParser\n\nllm = ChatOpenAI(model=\"gpt-4o-mini\")\nprompt = ChatPromptTemplate.from_template(\"Tell me a joke about {topic}\")\nchain = prompt | llm | StrOutputParser()\n\nresult = chain.invoke({\"topic\": \"programming\"})\nprint(result)\n```\n\n### With Memory (Python)\n```python\nfrom langchain_openai import ChatOpenAI\nfrom langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder\nfrom langchain_core.messages import HumanMessage, AIMessage\n\nllm = ChatOpenAI(model=\"gpt-4o-mini\")\nprompt = ChatPromptTemplate.from_messages([\n    (\"system\", \"You are a helpful assistant.\"),\n    MessagesPlaceholder(variable_name=\"history\"),\n    (\"user\", \"{input}\")\n])\n\nchain = prompt | llm\n\nhistory = []\nresponse = chain.invoke({\"input\": \"Hi!\", \"history\": history})\nprint(response.content)\n```\n\n### TypeScript Example\n```typescript\nimport { ChatOpenAI } from \"@langchain\u002Fopenai\";\nimport { ChatPromptTemplate } from \"@langchain\u002Fcore\u002Fprompts\";\nimport { StringOutputParser } from \"@langchain\u002Fcore\u002Foutput_parsers\";\n\nconst llm = new ChatOpenAI({ modelName: \"gpt-4o-mini\" });\nconst prompt = ChatPromptTemplate.fromTemplate(\"Tell me about {topic}\");\nconst chain = prompt.pipe(llm).pipe(new StringOutputParser());\n\nconst result = await chain.invoke({ topic: \"LangChain\" });\nconsole.log(result);\n```\n\n## Resources\n- [LangChain LCEL Guide](https:\u002F\u002Fpython.langchain.com\u002Fdocs\u002Fconcepts\u002Flcel\u002F)\n- [Prompt Templates](https:\u002F\u002Fpython.langchain.com\u002Fdocs\u002Fconcepts\u002Fprompt_templates\u002F)\n- [Output Parsers](https:\u002F\u002Fpython.langchain.com\u002Fdocs\u002Fconcepts\u002Foutput_parsers\u002F)\n\n## Next Steps\nProceed to `langchain-local-dev-loop` for development workflow setup.\n",{"name":5,"author":46,"license":15,"version":47,"description":48,"allowed-tools":49},"Jeremy Longshore \u003Cjeremy@intentsolutions.io>","1.0.0","Create a minimal working LangChain example.\nUse when starting a new LangChain integration, testing your setup,\nor learning basic LangChain patterns with chains and prompts.\nTrigger with phrases like \"langchain hello world\", \"langchain example\",\n\"langchain quick start\", \"simple langchain code\", \"first langchain app\".\n","Read, Write, Edit","main","90b50ed0778745a80fd5bfb13b1843d45b9e82f7","tests\u002Fext_conformance\u002Fartifacts\u002Fplugins-community\u002Fplugins\u002Fsaas-packs\u002Flangchain-pack\u002Fskills\u002Flangchain-hello-world",234,"https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust","https:\u002F\u002Fgithub.com\u002FDicklesworthstone","https:\u002F\u002Fwww.jeffreyemanuel.com\u002F","Building in NY","2026-11-13 11:50:27",{"source":8,"skillName":5,"commands":60,"prompt":70,"zipAvailable":71},[61,64,67],{"tool":62,"command":63},"npx","npx skills add Dicklesworthstone\u002Fpi_agent_rust --skill langchain-hello-world",{"tool":65,"command":66},"bunx","bunx skills add Dicklesworthstone\u002Fpi_agent_rust --skill langchain-hello-world",{"tool":68,"command":69},"pnpm","pnpm dlx skills add Dicklesworthstone\u002Fpi_agent_rust --skill langchain-hello-world","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Fplugins-community\u002Fplugins\u002Fsaas-packs\u002Flangchain-pack\u002Fskills\u002Flangchain-hello-world\u002FSKILL.md",true,[],[74,115,139,165,190,211],{"skillNo":75,"name":76,"nameZh":6,"description":77,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":78,"licenseFileUrl":79,"sourceHtmlUrl":80,"categories":81,"keywords":87,"publishedAt":41},"01M6FEGPPK0ZTKCCM0R3E3KS33","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\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Futilities\u002Fweb-artifacts-builder\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Futilities\u002Fweb-artifacts-builder\u002FSKILL.md",[82],{"categoryNo":83,"categoryName":84,"taxonomyType":85,"taxonomyTypeDesc":86},"01JBSEEDCAT000000000000009","前端开发","SCENARIO","使用场景",[88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114],"web artifacts builder","web","artifacts","artifacts builder","builder","frontend","css","components","react","component","routing","state management","state","shadcn","file","ui","Tools","Tailwind","use","html","single-file","simple","ui components","multi","for","jsx","suite",{"skillNo":116,"name":117,"nameZh":6,"description":118,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":78,"licenseFileUrl":119,"sourceHtmlUrl":120,"categories":121,"keywords":126,"publishedAt":41},"01M6FEE9VTK1W4GY21AKREJXRG","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\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fsecurity\u002Fwebapp-testing\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fsecurity\u002Fwebapp-testing\u002FSKILL.md",[122,125],{"categoryNo":123,"categoryName":124,"taxonomyType":85,"taxonomyTypeDesc":86},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":83,"categoryName":84,"taxonomyType":85,"taxonomyTypeDesc":86},[25,127,128,93,129,130,89,131,132,133,103,134,135,136,137,138,112],"webapp testing","webapp","screenshots","playwright","debugging","toolkit","browser","logs","applications","behavior","local","with",{"skillNo":140,"name":141,"nameZh":6,"description":142,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":143,"sourceHtmlUrl":144,"categories":145,"keywords":146,"publishedAt":41},"01M6FE20F7ZTQBFWKF4MPJ2SBX","neuropixels-analysis","Neuropixels neural recording analysis. Load SpikeGLX\u002FOpenEphys data, preprocess, motion correction, Kilosort4 spike sorting, quality metrics, Allen\u002FIBL curation, AI-assisted visual analysis, for Neuropixels 1.0\u002F2.0 extracellular electrophysiology. Use when working with neural recordings, spike sorting, extracellular electrophysiology, or when the user mentions Neuropixels, SpikeGLX, Open Ephys, Kilosort, quality metrics, or unit curation.","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fscientific\u002Fneuropixels-analysis\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fscientific\u002Fneuropixels-analysis\u002FSKILL.md",[],[147,148,149,150,151,152,153,154,106,155,156,157,158,159,160,161,138,162,163,164,112,26],"analysis","neuropixels analysis","spike","metrics","data","open","quality","user","recordings","Neural","motion","visual","quality metrics","unit","sorting","curation","recording","load",{"skillNo":166,"name":167,"nameZh":6,"description":168,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":78,"licenseFileUrl":169,"sourceHtmlUrl":170,"categories":171,"keywords":175,"publishedAt":41},"01M6FDP0PDK6F1GGX395C7625Z","skill-creator","Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fskill-creator\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fskill-creator\u002FSKILL.md",[172],{"categoryNo":173,"categoryName":174,"taxonomyType":85,"taxonomyTypeDesc":86},"01JBSEEDCAT000000000000023","Skill与智能体开发",[176,177,178,40,179,180,181,182,183,184,185,186,187,188,138,112,189,26,24],"skill creator","creator","workflows","update","capabilities","knowledge","tool","integrations","specialized","guide","new skill","existing skill","users","Existing",{"skillNo":191,"name":192,"nameZh":6,"description":193,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":194,"sourceHtmlUrl":195,"categories":196,"keywords":198,"publishedAt":41},"01M6FDM8Y7VK7NYG9SM7QPA3PW","notebooklm","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.","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fnotebooklm\u002FLICENSE","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fnotebooklm\u002FSKILL.md",[197],{"categoryNo":173,"categoryName":174,"taxonomyType":85,"taxonomyTypeDesc":86},[192,199,200,201,202,203,39,133,204,205,106,206,207,208,209,112,210],"google","browser automation","gemini","automation","auth","library","management","only","document","query","Citation","source",{"skillNo":212,"name":213,"nameZh":6,"description":214,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":78,"licenseFileUrl":215,"sourceHtmlUrl":216,"categories":217,"keywords":224,"publishedAt":41},"01M6FDHPXE10J3XGTCH5HBHS1M","slack-gif-creator","Knowledge and utilities for creating animated GIFs optimized for Slack. Provides constraints, validation tools, and animation concepts. Use when users request animated GIFs for Slack like \"make me a GIF of X doing Y for Slack.\"","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fenterprise-communication\u002Fslack-gif-creator\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fenterprise-communication\u002Fslack-gif-creator\u002FSKILL.md",[218,221],{"categoryNo":219,"categoryName":220,"taxonomyType":85,"taxonomyTypeDesc":86},"01JBSEEDCAT000000000000005","邮件与沟通",{"categoryNo":222,"categoryName":223,"taxonomyType":85,"taxonomyTypeDesc":86},"01JBSEEDCAT000000000000016","图像与多媒体",[225,226,227,177,228,104,229,230,181,106,231,188,232,233,234,112,235,26],"slack gif creator","slack","gif","validation","constraints","Animation","me","make","Utilities","concepts","request"]