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Deep Research

技能 已验证 活跃

Run autonomous research tasks that plan, search, read, and synthesize information into comprehensive reports.

目的

To automate in-depth research and information synthesis, providing users with comprehensive, cited reports for tasks like market analysis, competitive landscaping, and literature reviews without manual effort.

功能

  • Autonomous research planning, searching, and reading
  • Information synthesis into comprehensive reports
  • Support for multiple output formats (Markdown, JSON, Raw)
  • Real-time progress streaming and status monitoring
  • Continuation of previous research tasks

使用场景

  • Performing in-depth market analysis and competitive landscaping
  • Creating detailed literature reviews for academic or technical purposes
  • Conducting technical research and due diligence on specific topics
  • Generating cited research reports on demand

非目标

  • Performing real-time conversational chat
  • Executing arbitrary code or system commands
  • Providing a generic web scraping tool
  • Replacing direct user interaction with APIs for simple data retrieval

工作流

  1. User requests research via `--query`
  2. Skill provides estimated time and streams progress
  3. User monitors progress with `--stream` or polls with `--status`
  4. Skill returns formatted results (Markdown, JSON, or Raw)
  5. User can continue research with `--continue` or list past tasks with `--list`

先决条件

  • Python 3.8+
  • httpx: `pip install -r requirements.txt`
  • GEMINI_API_KEY environment variable

Protocol

  • info:Idempotent retry & timeoutsThe script mentions timeouts and a risk of API errors, but explicit details on idempotency for mutations or hard per-call timeouts are not detailed.

安装

npx skills add davila7/claude-code-templates

通过 npx 运行 Vercel skills CLI(skills.sh)— 需要本地安装 Node.js,以及至少一个兼容 skills 的智能体(Claude Code、Cursor、Codex 等)。前提是仓库遵循 agentskills.io 格式。

质量评分

已验证
97 /100
1 day ago 分析

信任信号

最近提交1 day ago
星标27.2k
许可证MIT
状态
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