Data Client Schema
Helps with data, client-side, schema design as part of agent workflows workflows.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add data-client-schema npx -- -y @trustedskills/data-client-schema
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"data-client-schema": {
"command": "npx",
"args": [
"-y",
"@trustedskills/data-client-schema"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill provides a schema definition for the data-client tool. It allows AI agents to understand and interact with data sources in a structured way, defining expected fields and types. The skill ensures consistent data handling by enforcing these predefined structures during data retrieval or manipulation tasks.
When to use it
- When integrating with APIs that require specific data formats.
- To ensure consistency when extracting data from multiple sources.
- For building AI agents that need to process structured data, like financial reports or product catalogs.
- When creating workflows that involve transforming and validating data.
Key capabilities
- Schema definition for
data-clienttool. - Enforces structure during data retrieval.
- Supports consistent data handling.
Example prompts
- "Use the data client schema to retrieve customer information."
- "Validate this JSON against the data client schema."
- "Show me the expected fields for a product record according to the data client schema."
Tips & gotchas
The data-client tool must be installed and configured separately for this skill to function correctly. Ensure that the agent has access to the defined schema before attempting any data operations.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
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Passed automated security scans.