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AGENT SKILL

research

research 是面向文档处理、商业与营销、研究的 Agent Skill,来自 mckinsey/agents-at-scale-ark。查看技能说明、操作步骤与使用约定,并通过原项目了解详细用法。

Research technical solutions by searching the web, examining GitHub repos, and gathering evidence. Use when exploring implementation options or evaluating technologies.

SKILL.md

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nameark-research
descriptionResearch technical solutions by searching the web, examining GitHub repos, and gathering evidence. Use when exploring implementation options or evaluating technologies.

Ark Research

Research technical solutions and gather evidence before implementation.

Research Process

1. Web Search First

Always start with web search to find: - Official documentation - GitHub repositories - Blog posts and tutorials - Protocol specifications (PDFs, RFCs)

2. Examine GitHub Repositories

GitHub raw content is often blocked. Clone repos to examine them:

cd /tmp
git clone https://github.com/owner/repo.git
cat /tmp/repo/README.md

Look for: - README documentation - Code examples - Architecture patterns - Dependencies and requirements

3. Handle Blocked Content

If a website cannot be loaded: - Ask the user to paste the relevant content - Request PDFs or specification documents - Ask for screenshots if visual content is needed

Example prompt:

"I found a relevant resource at [URL] but cannot access it. Could you paste the key content or provide the PDF?"

4. Local Research Workspace

Store findings in ./scratch/research/ for review:

mkdir -p ./scratch/research

Save: - Cloned repo summaries - Code snippets - Architecture diagrams - Comparison notes

5. Evidence Requirements

Minimum 2-3 datapoints required before recommending a solution: - GitHub repo with active maintenance - Documentation or specification - Real-world usage examples - Community feedback (issues, discussions)

If insufficient evidence, ask for guidance:

"I found only one reference to this approach. Can you point me to additional resources or clarify the requirements?"

Output Format

Always back up findings with sources:

## Research: [Topic]

### Option 1: [Solution Name]
- **Source**: [URL or repo link]
- **Pros**: ...
- **Cons**: ...
- **Evidence**: [What confirms this works]

### Option 2: [Solution Name]
...

### Recommendation
Based on [N] sources, I recommend [Option] because...

### Sources
- [Title](URL)
- [Repo](GitHub URL) - cloned and examined
- [Spec](URL) - user provided

Example Usage

User: "Research options for terminal recording in an MCP server"

  1. Web search: "terminal recording library node typescript"
  2. Find GitHub repos → clone to /tmp and examine
  3. Find asciinema, VHS, xterm.js
  4. Compare approaches in ./scratch/research/terminal-recording.md
  5. Present options with 2-3 sources each

来源:mckinsey/agents-at-scale-ark · Apache-2.0 许可 · 许可原文 · MD 为来源页保存的历史版本