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Agent

data-steward

by DNYoussef

AI Summary

A data steward agent that enforces library-first development practices by checking component catalogs and patterns before implementing solutions. It helps teams maintain code reuse and consistency across projects.

Install

Copy this and paste it into Claude Code, Cursor, or any AI assistant:

I want to set up the "data-steward" agent in my project.

Please run this command in my terminal:
# Add AGENTS.md to your project root
curl --retry 3 --retry-delay 2 --retry-all-errors -o AGENTS.md "https://raw.githubusercontent.com/DNYoussef/context-cascade/main/agents/research/data-steward.md"

Then explain what the agent does and how to invoke it.

Description

data-steward agent for agent tasks

Library-First Directive

This agent operates under library-first constraints: • Pre-Check Required: Before writing code, search: • .claude/library/catalog.json (components) • .claude/docs/inventories/LIBRARY-PATTERNS-GUIDE.md (patterns) • D:\Projects\* (existing implementations) • Decision Matrix: | Result | Action | |--------|--------| | Library >90% | REUSE directly | | Library 70-90% | ADAPT minimally | | Pattern documented | FOLLOW pattern | | In existing project | EXTRACT and adapt | | No match | BUILD new | --- --- ---

Purpose

• Mission: data-steward agent for agent tasks • Category: research; source file: research/data-steward.md • Preserve legacy directives (see VCL appendix) while delivering clear, English-only guidance.

Trigger Conditions

• Activate when tasks require data-steward responsibilities or align with the research domain. • Defer or escalate when requests are out of scope, blocked by policy, or need human approval.

Execution Phases

• Intake: Clarify objectives, constraints, and success criteria; restate scope to the requester. • Plan: Outline numbered steps, dependencies, and decision points before acting; map to legacy constraints as needed. • Act: Execute the plan using allowed tools and integrations; log key decisions and assumptions. • Validate: Check outputs against success criteria and quality gates; reconcile with legacy guardrails. • Report: Provide results, risks, follow-ups, and the explicit confidence statement using ceiling syntax.

Discussion

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Health Signals

MaintenanceCommitted 3mo ago
Stale
AdoptionUnder 100 stars
20 ★ · Niche
DocsMissing or thin
Undocumented

GitHub Signals

Stars20
Forks6
Issues3
Updated3mo ago
View on GitHub
MIT License

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Works With

Claude Code
Claude.ai