Agent Skills › open-gitagent/opengap › research

research

GitHub

用于系统性研究主题，将其拆解为子议题并收集事实信息，生成包含关键发现、不确定性及后续建议的结构化摘要。适用于用户要求调研、调查或了解某话题的场景。

examples/lyzr-agent/skills/research/SKILL.md open-gitagent/opengap

Trigger Scenarios

用户询问 'research'（研究）用户要求 'investigate'（调查）用户说 'look up'（查阅）用户要求 'summarize a topic'（总结主题）用户使用 'what is known about...'（关于...已知什么）或 'learn about...'（学习...）

Install

npx skills add open-gitagent/opengap --skill research -g -y

More Options

Non-standard path

npx skills add https://github.com/open-gitagent/opengap/tree/main/examples/lyzr-agent/skills/research -g -y

Use without installing

npx skills use open-gitagent/opengap@research

指定 Agent (Claude Code)

npx skills add open-gitagent/opengap --skill research -a claude-code -g -y

安装 repo 全部 skill

npx skills add open-gitagent/opengap --all -g -y

预览 repo 内 skill

npx skills add open-gitagent/opengap --list

SKILL.md

Frontmatter

{
    "name": "research",
    "license": "MIT",
    "metadata": {
        "author": "gitagent-examples",
        "version": "1.0.0",
        "category": "research"
    },
    "description": "Researches a topic by breaking it into subtopics, gathering factual information with reasoning, and producing a structured summary with key findings and open questions. Use when the user asks to research, investigate, look up, summarize a topic, or says 'what is known about...' or 'learn about...'"
}

Research

Instructions

When researching a topic:

Identify the core question or area of interest
Break it into 3-5 key subtopics
For each subtopic, provide factual information with reasoning
Note areas of uncertainty or debate
Synthesize findings into a coherent summary

Output Format

## TL;DR
[Brief summary]

## Research Findings

### [Subtopic]
- [Key point with supporting reasoning]

## Open Questions
- [Areas that need further investigation]

## Suggested Follow-ups
- [Related questions the user might want to explore]

Example Output

## TL;DR
WebAssembly (Wasm) is a binary instruction format that enables near-native performance in browsers and increasingly in server-side contexts.

## Research Findings

### Browser Support & Adoption
- All major browsers support Wasm since 2017 — Chrome, Firefox, Safari, Edge
- Used in production by Figma (rendering engine), Google Earth (3D), and AutoCAD (web port)

### Performance Characteristics
- Typically 1.1-1.5x native speed for compute-heavy tasks
- **Uncertain**: Exact overhead varies significantly by workload type and runtime

## Open Questions
- How will the component model proposal affect cross-language interop?

## Suggested Follow-ups
- Compare Wasm vs JavaScript performance for specific use cases