[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6EYAJBW20PRDPFD97V19KQ1":3,"skill-same:01M6EYAJBW20PRDPFD97V19KQ1":81},{"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":36,"commitSha":53,"skillDirectory":54,"forksCount":55,"repositoryHtmlUrl":56,"repositoryHomepageUrl":57,"ownerHtmlUrl":58,"ownerBlogUrl":6,"ownerDescription":59,"updatedAt":60,"install":61,"resources":74},"01M6EYAJBW20PRDPFD97V19KQ1","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. 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Costs $2-5 per task.","ComeOnOliver\u002Fskillshub","ComeOnOliver","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F43215937?v=4","01M6E5JNFECJAAVFE0W7SMWWD2","Haoran Shu","01M6E5JNNDQS7AJZDYFQ8TPZCK",66,"MIT","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Faiskillstore\u002Fmarketplace\u002Fsickn33\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","technical research","competitive","literature","market analysis","but","main","gemini deep research","Market","google","use","autonomous","technical","research agent","analysis","gemini","safe","2026-11-10 10:12:30",false,"---\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.\"\nsource: \"https:\u002F\u002Fgithub.com\u002Fsanjay3290\u002Fai-skills\u002Ftree\u002Fmain\u002Fskills\u002Fdeep-research\"\nrisk: safe\n---\n\n# Gemini Deep Research Skill\n\nRun autonomous research tasks that plan, search, read, and synthesize information into comprehensive reports.\n\n## When to Use This Skill\n\nUse this skill when:\n- Performing market analysis\n- Conducting competitive landscaping\n- Creating literature reviews\n- Doing technical research\n- Performing due diligence\n- Need detailed, cited research 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## When to Use This Skill\n\nUse this skill when:\n- Performing market analysis\n- Conducting competitive landscaping\n- Creating literature reviews\n- Doing technical research\n- Performing due diligence\n- Need detailed, cited research 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,"risk":46,"source":52,"description":7},"https:\u002F\u002Fgithub.com\u002Fsanjay3290\u002Fai-skills\u002Ftree\u002Fmain\u002Fskills\u002Fdeep-research","def8531e65114c0fca8fb8551c1871ee0eed705c","skills\u002Faiskillstore\u002Fmarketplace\u002Fsickn33\u002Fdeep-research",24,"https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub","https:\u002F\u002Fskillshub.wtf","https:\u002F\u002Fgithub.com\u002FComeOnOliver","AI & Blockchain Engineer\r\n","2026-06-24 22:07:19",{"source":8,"skillName":5,"commands":62,"prompt":72,"zipAvailable":73},[63,66,69],{"tool":64,"command":65},"npx","npx skills add ComeOnOliver\u002Fskillshub --skill deep-research",{"tool":67,"command":68},"bunx","bunx skills add ComeOnOliver\u002Fskillshub --skill deep-research",{"tool":70,"command":71},"pnpm","pnpm dlx skills add 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