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Experiment Design Methodology

A 7-step methodology skill for designing rigorous ablations, experiment matrices, resource estimates, and analysis plans.

Data & AnalyticsIntermediate★ 451⑂ 38AI score 7/10Last updated: Nov 1, 2026

What it does

  • Forces clarity on the hypothesis, dependent metric, independent factors, and baseline before any run.
  • Enforces one variable per ablation, documenting fixed config and a predicted outcome in a run-ID table.
  • Recommends the right matrix design — full factorial, sequential elimination, or Latin square — and computes total runs.
  • Estimates GPU hours, API costs, wall-clock time, and checkpoint storage, flagging plans that blow the budget.
  • Generates config stubs and runner scripts that match your project's existing format (YAML/JSON/TOML) and tracker (wandb, neptune, tensorboard).
  • Locks in an analysis plan up front: primary/secondary metrics, significance tests, failed-run handling, and plots.

Who it's for

  • ML/DL researchers designing ablation studies for papers or internal reports.
  • Teams whose experiment sprawl has become unreproducible and expensive.
  • Grad students and engineers prioritizing runs under a tight GPU budget.

Examples

  1. "Design an ablation comparing CE / focal / VAR losses and learning rates" → experiment matrix table with run IDs, fixed configs, and expected outcomes.
  2. "How many GPU hours will this plan take?" → runs × time-per-run math plus storage and API cost estimates, with a prioritized cut-down option.
  3. "Give me a script to run baselines then ablations" → dependency-ordered batch runner with parallelization notes and a checkpointing strategy.

· · · Install guide · · ·

Try it now, no install

Paste this into Claude to use the skill without installing anything.

Read the instructions in this file and follow them to help me:
https://raw.githubusercontent.com/fcakyon/labrat/HEAD/plugin/skills/experiment-design/SKILL.md

What I want: (describe your task here)

If Claude can't open the link, open it yourself and paste the contents instead.

↓ If it works for you, download the ZIP below and install it. Then it runs on its own — no pasting each time.

Install in the Claude app (no terminal)
  1. Download the ZIP with the button below.
  2. In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
  3. Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
↓ Download ZIP
Install in Claude Code

Let Claude do it — paste this into Claude Code

Install the skill I found on AI Skill Mart.
Copy the plugin/skills/experiment-design folder from the GitHub repo fcakyon/labrat into my ~/.claude/skills/fcakyon-experiment-design/.
When it's done, tell me in one line what this skill can do.

Install with a command instead

git clone https://github.com/fcakyon/labrat.git && mkdir -p ~/.claude/skills && cp -r labrat/plugin/skills/experiment-design ~/.claude/skills/

⚠ This is a third-party skill. Check the source repository before installing.

  1. Open a terminal.
  2. Create the skills directory: mkdir -p ~/.claude/skills
  3. Clone the repo: git clone https://github.com/fcakyon/labrat.git
  4. Copy just this skill: cp -r labrat/plugin/skills/experiment-design ~/.claude/skills/
  5. Verify that ~/.claude/skills/experiment-design/SKILL.md exists.
  6. Restart Claude Code and try a prompt like "plan an ablation study for my model".
  7. For accurate estimates, tell it your GPU type, hours per run, and the path to your existing config files.
View source on GitHub ↗License: MIT