Doc Fetcher
Doc Fetcher swiftly retrieves relevant documents based on your query, saving you time and effort in research & information gathering.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add doc-fetcher npx -- -y @trustedskills/doc-fetcher
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"doc-fetcher": {
"command": "npx",
"args": [
"-y",
"@trustedskills/doc-fetcher"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The doc-fetcher skill allows AI agents to retrieve documents from a specified URL. It can be used to access online documentation, articles, or any other publicly accessible web pages. The agent can then process the fetched content for summarization, question answering, or further analysis.
When to use it
- Research Assistance: Quickly gather information from specific websites when an AI agent needs to answer questions about a particular topic.
- Documentation Retrieval: Access and summarize documentation for software libraries or APIs.
- News Aggregation: Fetch articles from news sources based on keywords or categories.
- Content Summarization: Extract key points from lengthy online documents.
Key capabilities
- Fetches content from URLs.
- Processes publicly accessible web pages.
Example prompts
- "Fetch the documentation for the 'requests' Python library from [URL]."
- "Summarize the main arguments presented in this article: [URL]"
- "Retrieve the latest news about AI from [news website URL]."
Tips & gotchas
The skill relies on publicly accessible URLs; it cannot access content behind authentication walls. Ensure the target URL is valid and reachable for successful document retrieval.
Tags
TrustedSkills Verification
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
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Passed automated security scans.