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This entry duplicates experiment-tracking, which is the one we list in search.

experiment-tracking

Standard for logging ML experiments — parameters, metrics, artifacts, and metadata.

Skill by delany-ramirez

IndexedLicense unknown
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/delany-ramirez-experiment-tracking

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Standard for logging ML experiments — parameters, metrics, artifacts, and metadata. Use every time a model is trained to guarantee reproducibility and comparability across runs. Logs locally as JSON by default (MLflow-compatible if available).

Use cases: ml

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What's inside

Skill name
experiment-tracking
Description
Standard for logging ML experiments — parameters, metrics, artifacts, and metadata. Use every time a model is trained to guarantee reproducibility and comparability across runs. Logs locally as JSON by default (MLflow-compatible if available).
License
unknown
Instructions
20 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub

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Last commit (this folder)
May 31, 2026 (5 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
License unknown
Repository
github.com/delany-ramirez/data_analyzer
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Source
GitHubgithub-graphql

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Cite this page

experiment-tracking skill. Agent Mart. https://agentmart.dev/skills/delany-ramirez-experiment-tracking (last updated 2026-10-24)