[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6EAKF6EGDPP2SF06BFHADC5":3,"skill-same:01M6EAKF6EGDPP2SF06BFHADC5":84},{"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":26,"publishedAt":47,"linkOnly":48,"markdownContent":49,"markdownBody":50,"frontMatter":51,"refName":56,"commitSha":57,"skillDirectory":58,"forksCount":59,"repositoryHtmlUrl":60,"repositoryHomepageUrl":6,"ownerHtmlUrl":61,"ownerBlogUrl":6,"ownerDescription":62,"updatedAt":63,"install":64,"resources":77},"01M6EAKF6EGDPP2SF06BFHADC5","deep-research",null,"Execute autonomous multi-step research using Google Gemini Deep Research Agent. Use for: market analysis, competitive landscaping, literature reviews, technical research, due diligence. Takes 2-10 minutes but produces detailed, cited reports. Costs $2-5 per task.","luokai0\u002Fai-agent-skills-by-luo-kai","luokai0","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F266954973?v=4","01M6E16VNT42JB8B3X3254QWJ7","luo kai","01M6E16VTFVP6S5XJF1V1MPV90",14,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fluokai0\u002Fai-agent-skills-by-luo-kai\u002Fblob\u002Fmain\u002Fai-agent-skills\u002F18-ai-agents-and-automation (by Luo Kai)\u002F16-other-agents\u002Fdeep-research\u002FSKILL.md",[18,23],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000021","资料检索与研究","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46],"research","deep research","deep","reports","multi","competitive","literature","market analysis","but","task","gemini deep research","Market","google","use","execute","autonomous","technical","research agent","analysis","gemini","2026-11-10 10:12:30",false,"---\nauthor: luo-kai\nname: deep-research\ndescription: \"Execute autonomous multi-step research using Google Gemini Deep Research Agent. Use for: market analysis, competitive landscaping, literature reviews, technical research, due diligence. Takes 2-10 minutes but produces detailed, cited reports. Costs $2-5 per task.\"\nlicense: Apache-2.0\nmetadata:\n  author: sanjay3290\n  version: \"1.0\"\n---\n\n# Gemini Deep Research Skill\n\nRun autonomous research tasks that plan, search, read, and synthesize information into comprehensive reports.\n\n## Requirements\n\n- Python 3.8+\n- httpx: `pip install -r requirements.txt`\n- GEMINI_API_KEY environment variable\n\n## Setup\n\n1. Get a Gemini API key from [Google AI Studio](https:\u002F\u002Faistudio.google.com\u002F)\n2. Set the environment variable:\n   ```bash\n   export GEMINI_API_KEY=your-api-key-here\n   ```\n   Or create a `.env` file in the skill directory.\n\n## Usage\n\n### Start a research task\n```bash\npython3 scripts\u002Fresearch.py --query \"Research the history of Kubernetes\"\n```\n\n### With structured output format\n```bash\npython3 scripts\u002Fresearch.py --query \"Compare Python web frameworks\" \\\n  --format \"1. Executive Summary\\n2. Comparison Table\\n3. Recommendations\"\n```\n\n### Stream progress in real-time\n```bash\npython3 scripts\u002Fresearch.py --query \"Analyze EV battery market\" --stream\n```\n\n### Start without waiting\n```bash\npython3 scripts\u002Fresearch.py --query \"Research topic\" --no-wait\n```\n\n### Check status of running research\n```bash\npython3 scripts\u002Fresearch.py --status \u003Cinteraction_id>\n```\n\n### Wait for completion\n```bash\npython3 scripts\u002Fresearch.py --wait \u003Cinteraction_id>\n```\n\n### Continue from previous research\n```bash\npython3 scripts\u002Fresearch.py --query \"Elaborate on point 2\" --continue \u003Cinteraction_id>\n```\n\n### List recent research\n```bash\npython3 scripts\u002Fresearch.py --list\n```\n\n## Output Formats\n\n- **Default**: Human-readable markdown report\n- **JSON** (`--json`): Structured data for programmatic use\n- **Raw** (`--raw`): Unprocessed API response\n\n## Cost & Time\n\n| Metric | Value |\n|--------|-------|\n| Time | 2-10 minutes per task |\n| Cost | $2-5 per task (varies by complexity) |\n| Token usage | ~250k-900k input, ~60k-80k output |\n\n## Best Use Cases\n\n- Market analysis and competitive landscaping\n- Technical literature reviews\n- Due diligence research\n- Historical research and timelines\n- Comparative analysis (frameworks, products, technologies)\n\n## Workflow\n\n1. User requests research → Run `--query \"...\"`\n2. Inform user of estimated time (2-10 minutes)\n3. Monitor with `--stream` or poll with `--status`\n4. Return formatted results\n5. Use `--continue` for follow-up questions\n\n## Exit Codes\n\n- **0**: Success\n- **1**: Error (API error, config issue, timeout)\n- **130**: Cancelled by user (Ctrl+C)\n","# Gemini Deep Research Skill\n\nRun autonomous research tasks that plan, search, read, and synthesize information into comprehensive reports.\n\n## Requirements\n\n- Python 3.8+\n- httpx: `pip install -r requirements.txt`\n- GEMINI_API_KEY environment variable\n\n## Setup\n\n1. Get a Gemini API key from [Google AI Studio](https:\u002F\u002Faistudio.google.com\u002F)\n2. Set the environment variable:\n   ```bash\n   export GEMINI_API_KEY=your-api-key-here\n   ```\n   Or create a `.env` file in the skill directory.\n\n## Usage\n\n### Start a research task\n```bash\npython3 scripts\u002Fresearch.py --query \"Research the history of Kubernetes\"\n```\n\n### With structured output format\n```bash\npython3 scripts\u002Fresearch.py --query \"Compare Python web frameworks\" \\\n  --format \"1. Executive Summary\\n2. Comparison Table\\n3. Recommendations\"\n```\n\n### Stream progress in real-time\n```bash\npython3 scripts\u002Fresearch.py --query \"Analyze EV battery market\" --stream\n```\n\n### Start without waiting\n```bash\npython3 scripts\u002Fresearch.py --query \"Research topic\" --no-wait\n```\n\n### Check status of running research\n```bash\npython3 scripts\u002Fresearch.py --status \u003Cinteraction_id>\n```\n\n### Wait for completion\n```bash\npython3 scripts\u002Fresearch.py --wait \u003Cinteraction_id>\n```\n\n### Continue from previous research\n```bash\npython3 scripts\u002Fresearch.py --query \"Elaborate on point 2\" --continue \u003Cinteraction_id>\n```\n\n### List recent research\n```bash\npython3 scripts\u002Fresearch.py --list\n```\n\n## Output Formats\n\n- **Default**: Human-readable markdown report\n- **JSON** (`--json`): Structured data for programmatic use\n- **Raw** (`--raw`): Unprocessed API response\n\n## Cost & Time\n\n| Metric | Value |\n|--------|-------|\n| Time | 2-10 minutes per task |\n| Cost | $2-5 per task (varies by complexity) |\n| Token usage | ~250k-900k input, ~60k-80k output |\n\n## Best Use Cases\n\n- Market analysis and competitive landscaping\n- Technical literature reviews\n- Due diligence research\n- Historical research and timelines\n- Comparative analysis (frameworks, products, technologies)\n\n## Workflow\n\n1. User requests research → Run `--query \"...\"`\n2. Inform user of estimated time (2-10 minutes)\n3. Monitor with `--stream` or poll with `--status`\n4. Return formatted results\n5. Use `--continue` for follow-up questions\n\n## Exit Codes\n\n- **0**: Success\n- **1**: Error (API error, config issue, timeout)\n- **130**: Cancelled by user (Ctrl+C)\n",{"name":5,"author":52,"license":15,"metadata":53,"description":7},"luo-kai",{"author":54,"version":55},"sanjay3290","1.0","main","4d2fb89cdfb75f3f6fd3c6c5ec9ad90ea129eb3c","ai-agent-skills\u002F18-ai-agents-and-automation (by Luo Kai)\u002F16-other-agents\u002Fdeep-research",2,"https:\u002F\u002Fgithub.com\u002Fluokai0\u002Fai-agent-skills-by-luo-kai","https:\u002F\u002Fgithub.com\u002Fluokai0","a solo builder.","2026-05-06 04:29:04",{"source":8,"skillName":5,"commands":65,"prompt":75,"zipAvailable":76},[66,69,72],{"tool":67,"command":68},"npx","npx skills add luokai0\u002Fai-agent-skills-by-luo-kai --skill deep-research",{"tool":70,"command":71},"bunx","bunx skills add luokai0\u002Fai-agent-skills-by-luo-kai --skill deep-research",{"tool":73,"command":74},"pnpm","pnpm dlx skills add luokai0\u002Fai-agent-skills-by-luo-kai --skill deep-research","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fluokai0\u002Fai-agent-skills-by-luo-kai\u002Fblob\u002Fmain\u002Fai-agent-skills\u002F18-ai-agents-and-automation (by Luo Kai)\u002F16-other-agents\u002Fdeep-research\u002FSKILL.md",true,[78],{"path":79,"resourceType":80,"resourceTypeDesc":81,"sizeBytes":82,"sourceHtmlUrl":83},"LICENSE.txt","LICENSE","许可证",11607,"https:\u002F\u002Fgithub.com\u002Fmonoes\u002Fmonomind\u002Fblob\u002Fmain\u002Fpackages\u002F@monomind\u002Fcli\u002Forg-skills\u002Fforecast\u002FLICENSE.txt",[85,113,130,156,188,225],{"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":89,"licenseFileUrl":6,"sourceHtmlUrl":90,"categories":91,"keywords":92,"publishedAt":47},"01M6F2SKTE208174C7S7JJCZC7","write-contracts","Generates secure Aptos Move V2 smart contracts with Object model, Digital Asset integration, security patterns, and storage type guidance. Includes comprehensive storage decision framework for optimal data structure selection. Triggers on: 'write contract', 'create NFT collection', 'build marketplace', 'implement minting', 'generate Move module', 'create token contract', 'build DAO', 'implement staking'. Ask storage questions when: 'store', 'track', 'registry', 'mapping', 'list', 'collection'.","MIT","https:\u002F\u002Fgithub.com\u002Fluokai0\u002Fai-agent-skills-by-luo-kai\u002Fblob\u002Fmain\u002Fai-agent-skills\u002F22-clawhub-skills\u002Fwrite-contracts\u002FSKILL.md",[],[93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112],"write","contracts","write contracts","storage","secure","create","generate","collection","model","decision","ask","smart-contracts","selection","objects","structure","nft","token","aptos","critical","move",{"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":89,"licenseFileUrl":6,"sourceHtmlUrl":117,"categories":118,"keywords":119,"publishedAt":47},"01M6F2RFXJ6T9MKW0A7N7GM45B","web-search","通用网络搜索技能，支持多引擎搜索（百度、必应、DuckDuckGo），无需API密钥即可获取实时信息","https:\u002F\u002Fgithub.com\u002Fluokai0\u002Fai-agent-skills-by-luo-kai\u002Fblob\u002Fmain\u002Fai-agent-skills\u002F22-clawhub-skills\u002Fweb-search-ex-skill\u002FSKILL.md",[],[120,121,122,123,124,125,126,127,128,129],"web","search","web search","搜索","baidu","bing","duckduckgo","百度","多引擎","internet",{"skillNo":131,"name":132,"nameZh":6,"description":133,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":89,"licenseFileUrl":6,"sourceHtmlUrl":134,"categories":135,"keywords":137,"publishedAt":47},"01M6F2K968G1FZEZFPW2E6B222","solo-build","Execute implementation plan tasks with TDD workflow, auto-commit, and phase gates. Use when user says \"build it\", \"start building\", \"execute plan\", \"implement tasks\", \"ship it\", or references a track ID. Do NOT use for planning (use \u002Fplan) or scaffolding (use \u002Fscaffold).","https:\u002F\u002Fgithub.com\u002Fluokai0\u002Fai-agent-skills-by-luo-kai\u002Fblob\u002Fmain\u002Fai-agent-skills\u002F22-clawhub-skills\u002Fsolo-build\u002FSKILL.md",[136],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[138,139,140,141,142,143,144,145,121,146,147,148,93,149,150,151,152,153,154,155],"build","solo","solo build","MCP","workflow","commit","tasks","code","Bash","plan","read","auto","references","context7","query","scaffolding","ship it","project",{"skillNo":157,"name":158,"nameZh":6,"description":159,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":89,"licenseFileUrl":6,"sourceHtmlUrl":160,"categories":161,"keywords":168,"publishedAt":47},"01M6F2GKN39SGHSPWYB3662YC8","react-email","Use when building HTML email templates with React components, adding a visual email editor to an application using the React Email visual editor, rendering emails to HTML, or sending emails with Resend. Covers welcome emails, password resets, notifications, order confirmations, newsletters, transactional emails, and the embeddable email editor component.","https:\u002F\u002Fgithub.com\u002Fluokai0\u002Fai-agent-skills-by-luo-kai\u002Fblob\u002Fmain\u002Fai-agent-skills\u002F22-clawhub-skills\u002Freact-email-skills\u002FSKILL.md",[162,165],{"categoryNo":163,"categoryName":164,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000005","邮件与沟通",{"categoryNo":166,"categoryName":167,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000009","前端开发",[169,170,171,172,173,174,175,176,177,178,179,180,181,40,182,183,184,185,186,187],"react","email","react email","github","editor","components","react components","component","welcome","https","notifications","password","node","html","resend","visual","emails","rendering","with",{"skillNo":189,"name":190,"nameZh":6,"description":191,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":89,"licenseFileUrl":6,"sourceHtmlUrl":192,"categories":193,"keywords":206,"publishedAt":47},"01M6F2FBVGVDFSG8SSFJGXA40C","APITester Agent-Driven API Testing","Test API endpoints and document responses. Define tests in plain English, run them, get formatted results. Agent-driven Postman alternative.","https:\u002F\u002Fgithub.com\u002Fluokai0\u002Fai-agent-skills-by-luo-kai\u002Fblob\u002Fmain\u002Fai-agent-skills\u002F22-clawhub-skills\u002Fopenclaw-api-tester\u002FSKILL.md",[194,197,200,201],{"categoryNo":195,"categoryName":196,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":198,"categoryName":199,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":202,"categoryName":203,"taxonomyType":204,"taxonomyTypeDesc":205},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223,224],"testing","api","api testing","driven","APITester Agent Driven API Testing","test","run","postman","results","plain english","tester","endpoints","document","get","define","tests","english","api-tester",{"skillNo":226,"name":227,"nameZh":6,"description":228,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":89,"licenseFileUrl":6,"sourceHtmlUrl":229,"categories":230,"keywords":231,"publishedAt":47},"01M6F273Y3NGAPVJZ608BC0G9G","hubspot-implementation-plan","Generate a phased implementation plan from a HubSpot audit report. Creates prioritized, sequenced cleanup processes with effort estimates, dependencies, and automation feasibility. Use after running \u002Fhubspot-audit.","https:\u002F\u002Fgithub.com\u002Fluokai0\u002Fai-agent-skills-by-luo-kai\u002Fblob\u002Fmain\u002Fai-agent-skills\u002F22-clawhub-skills\u002Fhubspot-implementation-plan\u002FSKILL.md",[],[147,232,233,234,235,236,237,99,238,239,240,241,242,40,243,244,187,245],"implementation","hubspot","hubspot implementation plan","automation","feasibility","cleanup","planning","report","audit","audit report","phased implementation","dependencies","processes","hubspot audit"]