Langextract
Langextract extracts key information from text, streamlining data analysis and providing quick insights for faster decision-making.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add langextract npx -- -y @trustedskills/langextract
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"langextract": {
"command": "npx",
"args": [
"-y",
"@trustedskills/langextract"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The langextract skill allows AI agents to extract structured data from text. It can identify and isolate specific pieces of information, such as names, dates, locations, or other relevant entities. This capability enables the agent to process unstructured text and convert it into a more usable format for further analysis or action.
When to use it
- Summarizing documents: Quickly extract key facts and figures from lengthy reports or articles.
- Data entry automation: Automatically populate databases with information found in emails, forms, or other textual sources.
- Entity recognition: Identify specific entities (people, organizations, locations) mentioned within a body of text.
- Information retrieval: Pull out targeted details from large collections of documents based on defined criteria.
Key capabilities
- Structured data extraction
- Entity identification
- Text processing
Example prompts
- "Extract all the dates and names from this article."
- "Can you find the location mentioned in this email?"
- "What are the key figures discussed in this report?"
Tips & gotchas
The effectiveness of langextract depends heavily on the clarity and structure of the input text. Ambiguous or poorly written content may result in inaccurate extractions.
Tags
TrustedSkills Verification
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.