AI SummaryAn agent designed to manage AI/ML experiment tracking workflows with library-first architecture patterns. Useful for teams standardizing experiment management across projects while enforcing code reuse.
Install
Copy this and paste it into Claude Code, Cursor, or any AI assistant:
I want to set up the "experiment-tracking-agent" 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/platforms/ai-ml/experiments/experiment-tracking-agent.md" Then explain what the agent does and how to invoke it.
Description
experiment-tracking-agent 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: experiment-tracking-agent agent for agent tasks • Category: platforms; source file: platforms/ai-ml/experiments/experiment-tracking-agent.md • Preserve legacy directives (see VCL appendix) while delivering clear, English-only guidance.
Trigger Conditions
• Activate when tasks require experiment-tracking-agent responsibilities or align with the platforms 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.
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