deep-research by sickn33/antigravity-awesome-skills
npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill deep-research运行自主研究任务,规划、搜索、阅读信息并将其综合成全面的报告。
在以下情况下使用此技能:
pip install -r requirements.txt从 Google AI Studio 获取 Gemini API 密钥
设置环境变量:
export GEMINI_API_KEY=your-api-key-here
或者在技能目录中创建一个 .env 文件。
python3 scripts/research.py --query "Research the history of Kubernetes"
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python3 scripts/research.py --query "Compare Python web frameworks" \
--format "1. Executive Summary\n2. Comparison Table\n3. Recommendations"
python3 scripts/research.py --query "Analyze EV battery market" --stream
python3 scripts/research.py --query "Research topic" --no-wait
python3 scripts/research.py --status <interaction_id>
python3 scripts/research.py --wait <interaction_id>
python3 scripts/research.py --query "Elaborate on point 2" --continue <interaction_id>
python3 scripts/research.py --list
--json): 用于编程的结构化数据--raw): 未处理的 API 响应| 指标 | 值 |
|---|---|
| 时间 | 每任务 2-10 分钟 |
| 成本 | 每任务 $2-5 (根据复杂度变化) |
| 令牌使用量 | 输入约 250k-900k,输出约 60k-80k |
--query "..."--stream 监控或使用 --status 轮询--continue 进行后续问题跟进每周安装量
167
代码仓库
GitHub 星标数
27.4K
首次出现
2026年2月1日
安全审计
安装于
opencode157
gemini-cli156
codex154
github-copilot151
kimi-cli145
amp144
Run autonomous research tasks that plan, search, read, and synthesize information into comprehensive reports.
Use this skill when:
pip install -r requirements.txtGet a Gemini API key from Google AI Studio
Set the environment variable:
export GEMINI_API_KEY=your-api-key-here
Or create a .env file in the skill directory.
python3 scripts/research.py --query "Research the history of Kubernetes"
python3 scripts/research.py --query "Compare Python web frameworks" \
--format "1. Executive Summary\n2. Comparison Table\n3. Recommendations"
python3 scripts/research.py --query "Analyze EV battery market" --stream
python3 scripts/research.py --query "Research topic" --no-wait
python3 scripts/research.py --status <interaction_id>
python3 scripts/research.py --wait <interaction_id>
python3 scripts/research.py --query "Elaborate on point 2" --continue <interaction_id>
python3 scripts/research.py --list
--json): Structured data for programmatic use--raw): Unprocessed API response| Metric | Value |
|---|---|
| Time | 2-10 minutes per task |
| Cost | $2-5 per task (varies by complexity) |
| Token usage | ~250k-900k input, ~60k-80k output |
--query "..."--stream or poll with --status--continue for follow-up questionsWeekly Installs
167
Repository
GitHub Stars
27.4K
First Seen
Feb 1, 2026
Security Audits
Gen Agent Trust HubPassSocketPassSnykPass
Installed on
opencode157
gemini-cli156
codex154
github-copilot151
kimi-cli145
amp144
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62,200 周安装