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研究检索需要联网github未标认证来源可访问许可证需确认审计异常

research研究

Agent Skill

research 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

250

周安装

10

GitHub Stars

42

下载量

81
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:research(研究)
来源仓库:https://github.com/taylorhuston/local-life-manager
仓库路径:skills/research
安装命令:
npx skills add https://github.com/taylorhuston/local-life-manager --skill research
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/taylorhuston/local-life-manager --skill research

简介

研究用于查找、检索和筛选相关信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词、任务场景快速定位候选结果。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装,需结合原始 README 确认具体用法。
  • 安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写操作。
  • 该工具适用于需要高效信息检索和筛选的研究与决策场景。

SKILL.md

/research

Deep research creating persistent documentation for future reference. Uses Ultrathink for comprehensive analysis.

Usage

/research "authentication patterns for multi-tenant SaaS"
/research "real-time collaboration architectures"
/research "Jira vs Linear competitive analysis"
/research "WebSocket vs SSE trade-offs"

Output Locations

ideas/
├── [project]/notes/research/     # Project-specific
├── shared/docs/research/         # Cross-project
└── resources/research/           # General reference

Location rules:

  • Project-specific: ideas/{project}/notes/research/
  • Cross-project: shared/docs/research/
  • General reference: resources/research/

Process

1. Check Existing Research

grep -r "authentication" ideas/*/notes/research/
grep -r "authentication" shared/docs/research/

If found, ask: "Research exists. Update, view, or create new?"

2. Deep Research Phase

Invoke research-specialist agent:

Research scope:

  • Official documentation (via Context7)
  • Technical blogs and tutorials
  • Stack Overflow (high-vote answers)
  • GitHub discussions and issues
  • Community forums
  • Existing solutions/products

Volume: Read 20-30+ sources, distill to 3-5 pages

3. Create Research Document

Naming: lowercase kebab-case (e.g., auth-patterns-saas.md)

Structure:

---
created: YYYY-MM-DD
updated: YYYY-MM-DD
sources: NUMBER
related:
  - path/to/related/file.md
tags: ["primary-tag", "secondary-tag"]
---

# Research: [Topic]

## Executive Summary
[2-3 paragraphs of key findings]

## Detailed Findings

### [Subtopic 1]
[Analysis]

### [Subtopic 2]
[Analysis]

## Recommendations
[What to do based on research]

## Must-Read Resources
1. **[Title]** - [url]
   - Why: [Reason]
   - Key point: [Takeaway]

## Additional Resources
- [Title] - [url]

## Gotchas & Warnings
- [Warning 1]

## Decision Matrix (if comparing)

| Criteria | Option A | Option B |
|----------|----------|----------|
| Ease of use | ⭐⭐⭐ | ⭐⭐ |
| Scalability | ⭐⭐⭐⭐ | ⭐⭐⭐ |

4. Link to Related Work

If research relates to a spec or issue:

  • Add reference in research doc
  • Update spec/issue to reference research

When to Use

Good candidates:

  • Technology decisions affecting architecture
  • Competitive analysis for product positioning
  • Complex topics with many options
  • Best practices you'll reference multiple times
  • Market research for product ideas

Not needed for:

  • Quick one-off questions (just ask)
  • Simple API lookups (use Context7)
  • Project-specific debugging

Updating Research

If research exists but is outdated:

Options:
1. Update existing (add new findings)
2. Replace entirely (fresh research)
3. View existing
4. Cancel

Integration

Research documents are discovered by:

  • /plan - Checks for relevant research before planning
  • /spec - References research in technical notes
  • Future sessions - Research persists for reference
/research "topic" → ideas/{project}/notes/research/topic.md
                           ↓
              Future work automatically references this

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

37.79%
按下载量换算31

Claude

30.66%
按下载量换算25

Cursor

18.53%
按下载量换算15

Gemini CLI

9.86%
按下载量换算8

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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