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Peak List Simulation with Controlled Effects

Agent skill
1 skill

Use when you need to validate batch correction or normalization algorithms, require ground-truth condition/batch effect annotations for method benchmarking, or want to systematically evaluate how different batch types (linear, random) and condition allocations affect feature recovery in metabolomic.

Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI

Supported by the Atlas install prompt. Skill-specific requirements vary.

Skill stats

Skills1CategoryGeneralStars0

About this skill

Use when you need to validate batch correction or normalization algorithms, require ground-truth condition/batch effect annotations for method benchmarking, or want to systematically evaluate how different batch types (linear, random) and condition allocations affect feature recovery in metabolomic.

Quick start

  1. Copy the install prompt. Use the green button above this README.
  2. Send it to your agent. Paste it into your coding agent’s chat and send.
  3. Review the setup. Your agent checks the skill’s instructions, requirements, and installation scope.
Review, license & listing details
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About this listing

Category
General
Reported license
Apache-2.0
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.
Peak List Simulation with Controlled Effects | Agent Skills Atlas