[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6DM6BAMYAF6NEV12AH15GJV":3,"skill-same:01M6DM6BAMYAF6NEV12AH15GJV":63},{"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":23,"publishedAt":30,"linkOnly":31,"markdownContent":32,"markdownBody":33,"frontMatter":34,"refName":41,"commitSha":42,"skillDirectory":43,"forksCount":44,"repositoryHtmlUrl":45,"repositoryHomepageUrl":6,"ownerHtmlUrl":46,"ownerBlogUrl":6,"ownerDescription":47,"updatedAt":48,"install":49,"resources":62},"01M6DM6BAMYAF6NEV12AH15GJV","wind-site-assessment",null,"Assess wind energy potential and perform site analysis using atmospheric science calculations.","InternScience\u002FDrClaw","InternScience","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F154449623?v=4","01M6DHY1ZF02QASNAVMNPT7NP6","Intern Science","01M6DHY2523FY56Q5572NKAAD0",172,"MIT","https:\u002F\u002Fgithub.com\u002FInternScience\u002FDrClaw\u002Fblob\u002Fmain\u002Fdrclaw\u002Flocal_skill_hub\u002Fscience\u002Fearth\u002Fwind-site-assessment\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[24,25,26,27,28,29],"assessment","site","wind site assessment","analysis","science","atmospheric science calculations","2026-11-10 10:12:30",false,"---\nname: wind-site-assessment\ndescription: Assess wind energy potential and perform site analysis using atmospheric\n  science calculations.\nlicense: MIT license\nmetadata:\n  skill-author: PJLab\ni18n:\n  zh:\n    description: 评估风能潜力与场地分析。\n---\n\n# Wind Site Assessment\n\n## Usage\n\n### 1. MCP Server Definition\n\n```python\nimport asyncio\nimport json\nfrom mcp.client.streamable_http import streamablehttp_client\nfrom mcp import ClientSession\n\nclass AtmSciClient:\n    \"\"\"AtmSci-Tool MCP Client\"\"\"\n\n    def __init__(self, server_url: str, api_key: str):\n        self.server_url = server_url\n        self.api_key = api_key\n        self.session = None\n\n    async def connect(self):\n        try:\n            self.transport = streamablehttp_client(\n                url=self.server_url,\n                headers={\"SCP-HUB-API-KEY\": self.api_key}\n            )\n            self.read, self.write, self.get_session_id = await self.transport.__aenter__()\n            self.session_ctx = ClientSession(self.read, self.write)\n            self.session = await self.session_ctx.__aenter__()\n            await self.session.initialize()\n            return True\n        except Exception as e:\n            print(f\"✗ connect failure: {e}\")\n            return False\n\n    async def disconnect(self):\n        try:\n            if self.session:\n                await self.session_ctx.__aexit__(None, None, None)\n            if hasattr(self, 'transport'):\n                await self.transport.__aexit__(None, None, None)\n        except Exception as e:\n            print(f\"✗ disconnect error: {e}\")\n\n    def parse_result(self, result):\n        try:\n            if hasattr(result, 'content') and result.content:\n                content = result.content[0]\n                if hasattr(content, 'text'):\n                    return json.loads(content.text)\n            return str(result)\n        except Exception as e:\n            return {\"error\": f\"parse error: {e}\", \"raw\": str(result)}\n```\n\n### 2. Wind Site Assessment Workflow\n\nEvaluate wind energy potential at a specific location.\n\n**Implementation:**\n\n```python\n## Initialize client\nclient = AtmSciClient(\n    \"https:\u002F\u002Fscp.intern-ai.org.cn\u002Fapi\u002Fv1\u002Fmcp\u002F35\u002FAtmSci-Tool\",\n    \"\u003Cyour-api-key>\"\n)\n\nif not await client.connect():\n    print(\"connection failed\")\n    exit()\n\n## Input: Wind measurements\nwind_speeds = [6.5, 7.2, 8.1, 5.9, 9.3]  # m\u002Fs at hub height\nhub_height = 80  # meters\nair_density = 1.225  # kg\u002Fm³\n\n## Calculate wind power and assess site viability\n# Note: Use appropriate atmospheric science tools\nresult = await client.session.call_tool(\n    \"wind_power_assessment\",\n    arguments={\n        \"wind_speeds\": wind_speeds,\n        \"hub_height\": hub_height,\n        \"air_density\": air_density\n    }\n)\n\nassessment = client.parse_result(result)\nprint(f\"Average wind speed: {assessment['avg_speed']:.2f} m\u002Fs\")\nprint(f\"Wind power density: {assessment['power_density']:.2f} W\u002Fm²\")\nprint(f\"Site classification: {assessment['classification']}\")\n\nawait client.disconnect()\n```\n\n### Use Cases\n\n- Wind farm site selection\n- Renewable energy assessment\n- Atmospheric boundary layer studies\n- Wind resource mapping\n","# Wind Site Assessment\n\n## Usage\n\n### 1. MCP Server Definition\n\n```python\nimport asyncio\nimport json\nfrom mcp.client.streamable_http import streamablehttp_client\nfrom mcp import ClientSession\n\nclass AtmSciClient:\n    \"\"\"AtmSci-Tool MCP Client\"\"\"\n\n    def __init__(self, server_url: str, api_key: str):\n        self.server_url = server_url\n        self.api_key = api_key\n        self.session = None\n\n    async def connect(self):\n        try:\n            self.transport = streamablehttp_client(\n                url=self.server_url,\n                headers={\"SCP-HUB-API-KEY\": self.api_key}\n            )\n            self.read, self.write, self.get_session_id = await self.transport.__aenter__()\n            self.session_ctx = ClientSession(self.read, self.write)\n            self.session = await self.session_ctx.__aenter__()\n            await self.session.initialize()\n            return True\n        except Exception as e:\n            print(f\"✗ connect failure: {e}\")\n            return False\n\n    async def disconnect(self):\n        try:\n            if self.session:\n                await self.session_ctx.__aexit__(None, None, None)\n            if hasattr(self, 'transport'):\n                await self.transport.__aexit__(None, None, None)\n        except Exception as e:\n            print(f\"✗ disconnect error: {e}\")\n\n    def parse_result(self, result):\n        try:\n            if hasattr(result, 'content') and result.content:\n                content = result.content[0]\n                if hasattr(content, 'text'):\n                    return json.loads(content.text)\n            return str(result)\n        except Exception as e:\n            return {\"error\": f\"parse error: {e}\", \"raw\": str(result)}\n```\n\n### 2. Wind Site Assessment Workflow\n\nEvaluate wind energy potential at a specific location.\n\n**Implementation:**\n\n```python\n## Initialize client\nclient = AtmSciClient(\n    \"https:\u002F\u002Fscp.intern-ai.org.cn\u002Fapi\u002Fv1\u002Fmcp\u002F35\u002FAtmSci-Tool\",\n    \"\u003Cyour-api-key>\"\n)\n\nif not await client.connect():\n    print(\"connection failed\")\n    exit()\n\n## Input: Wind measurements\nwind_speeds = [6.5, 7.2, 8.1, 5.9, 9.3]  # m\u002Fs at hub height\nhub_height = 80  # meters\nair_density = 1.225  # kg\u002Fm³\n\n## Calculate wind power and assess site viability\n# Note: Use appropriate atmospheric science tools\nresult = await client.session.call_tool(\n    \"wind_power_assessment\",\n    arguments={\n        \"wind_speeds\": wind_speeds,\n        \"hub_height\": hub_height,\n        \"air_density\": air_density\n    }\n)\n\nassessment = client.parse_result(result)\nprint(f\"Average wind speed: {assessment['avg_speed']:.2f} m\u002Fs\")\nprint(f\"Wind power density: {assessment['power_density']:.2f} W\u002Fm²\")\nprint(f\"Site classification: {assessment['classification']}\")\n\nawait client.disconnect()\n```\n\n### Use Cases\n\n- Wind farm site selection\n- Renewable energy assessment\n- Atmospheric boundary layer studies\n- Wind resource mapping\n",{"i18n":35,"name":5,"license":38,"metadata":39,"description":7},{"zh":36},{"description":37},"评估风能潜力与场地分析。","MIT license",{"skill-author":40},"PJLab","main","4f96df0d9df0eae24a992afabe08edec5fc575f0","drclaw\u002Flocal_skill_hub\u002Fscience\u002Fearth\u002Fwind-site-assessment",10,"https:\u002F\u002Fgithub.com\u002FInternScience\u002FDrClaw","https:\u002F\u002Fgithub.com\u002FInternScience","Shanghai Artificial Intelligence Laboratory","2026-03-20 17:06:10",{"source":8,"skillName":5,"commands":50,"prompt":60,"zipAvailable":61},[51,54,57],{"tool":52,"command":53},"npx","npx skills add InternScience\u002FDrClaw --skill wind-site-assessment",{"tool":55,"command":56},"bunx","bunx skills add InternScience\u002FDrClaw --skill wind-site-assessment",{"tool":58,"command":59},"pnpm","pnpm dlx skills add InternScience\u002FDrClaw --skill wind-site-assessment","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FInternScience\u002FDrClaw\u002Fblob\u002Fmain\u002Fdrclaw\u002Flocal_skill_hub\u002Fscience\u002Fearth\u002Fwind-site-assessment\u002FSKILL.md",true,[],[64,98,121,137,155,170],{"skillNo":65,"name":66,"nameZh":6,"description":67,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":68,"categories":69,"keywords":78,"publishedAt":30},"01M6DMQESTSBW8VJW03QWHMT85","scientific-critical-thinking","Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best for understanding evidence quality, identifying flaws. For formal peer review writing use peer-review.","https:\u002F\u002Fgithub.com\u002FInternScience\u002FDrClaw\u002Fblob\u002Fmain\u002Fdrclaw\u002Flocal_skill_hub\u002Fthinking\u002Fscientific-critical-thinking\u002FSKILL.md",[70,73],{"categoryNo":71,"categoryName":72,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":74,"categoryName":75,"taxonomyType":76,"taxonomyTypeDesc":77},"01JBSEEDCAT000000000000032","设计师","PROFESSION","适用职业",[79,80,81,82,83,84,85,27,86,87,88,89,90,91,92,93,94,95,96,97],"critical","scientific critical thinking","thinking","design","writing","review","risk","peer review","Bash","quality","read","write","edit","use","evidence","peer","frameworks","teaching","bias",{"skillNo":99,"name":100,"nameZh":6,"description":101,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":102,"categories":103,"keywords":104,"publishedAt":30},"01M6DMQ77Z121463E049G2DG8K","scientific-brainstorming","Creative research ideation and exploration. Use for open-ended brainstorming sessions, exploring interdisciplinary connections, challenging assumptions, or identifying research gaps. Best for early-stage research planning when you do not have specific observations yet. For formulating testable hypotheses from data use hypothesis-generation.","https:\u002F\u002Fgithub.com\u002FInternScience\u002FDrClaw\u002Fblob\u002Fmain\u002Fdrclaw\u002Flocal_skill_hub\u002Fthinking\u002Fscientific-brainstorming\u002FSKILL.md",[],[105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,92],"brainstorming","scientific brainstorming","research ideation","stage","connections","generation","exploration","do","planning","creative","ideation","research","sessions","data","hypothesis","open",{"skillNo":122,"name":123,"nameZh":6,"description":124,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":125,"categories":126,"keywords":131,"publishedAt":30},"01M6DMPV4AMCCTWARGPSFHDWJB","scientific-literature-search","Search scientific literature and research papers using FlowSearch to find relevant academic articles and publications.","https:\u002F\u002Fgithub.com\u002FInternScience\u002FDrClaw\u002Fblob\u002Fmain\u002Fdrclaw\u002Flocal_skill_hub\u002Fsearch\u002Fscientific-literature-search\u002FSKILL.md",[127,130],{"categoryNo":128,"categoryName":129,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000021","资料检索与研究",{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[132,133,116,134,135,136],"search","scientific literature search","find","Academic","搜索",{"skillNo":138,"name":139,"nameZh":6,"description":140,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":141,"categories":142,"keywords":149,"publishedAt":30},"01M6DMPQJP8HVFV54V05D6K9HA","pubmed-article-search","Search PubMed database for scientific articles and publications to retrieve biomedical literature.","https:\u002F\u002Fgithub.com\u002FInternScience\u002FDrClaw\u002Fblob\u002Fmain\u002Fdrclaw\u002Flocal_skill_hub\u002Fsearch\u002Fpubmed-article-search\u002FSKILL.md",[143,146],{"categoryNo":144,"categoryName":145,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000018","写作与文案",{"categoryNo":147,"categoryName":148,"taxonomyType":76,"taxonomyTypeDesc":77},"01JBSEEDCAT000000000000036","内容创作者",[150,151,132,136,152,153,154],"pubmed article search","article","database","pubmed database","biomedical",{"skillNo":156,"name":157,"nameZh":6,"description":158,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":159,"categories":160,"keywords":162,"publishedAt":30},"01M6DMPK4H3JQ185M97BRB9KQJ","biomedical-web-search","Search biomedical literature and web content using Tavily search engine for research and clinical information.","https:\u002F\u002Fgithub.com\u002FInternScience\u002FDrClaw\u002Fblob\u002Fmain\u002Fdrclaw\u002Flocal_skill_hub\u002Fsearch\u002Fbiomedical-web-search\u002FSKILL.md",[161],{"categoryNo":128,"categoryName":129,"taxonomyType":21,"taxonomyTypeDesc":22},[163,154,164,132,165,166,116,167,168,136,169],"biomedical web search","web search","web","tavily","content","engine","clinical",{"skillNo":171,"name":172,"nameZh":6,"description":173,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":174,"categories":175,"keywords":177,"publishedAt":30},"01M6DMNNJH9V1S5PQHZRX0N934","uniprot-protein-retrieval","Retrieve protein sequences and functional information from UniProt database by protein name, enabling protein analysis and bioinformatics workflows.","https:\u002F\u002Fgithub.com\u002FInternScience\u002FDrClaw\u002Fblob\u002Fmain\u002Fdrclaw\u002Flocal_skill_hub\u002Fscience\u002Fprotein\u002Funiprot-protein-retrieval\u002FSKILL.md",[176],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[178,152,27,179,180,181,182],"uniprot protein retrieval","uniprot database","bioinformatics","name","workflows"]