experiment-planner-doe
Design of Experiments skill for systematic optimization of nanomaterial synthesis and processing
npx skills add a5c-ai/babysitter --skill experiment-planner-doe --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Experiment Planner DOE ## Purpose The Experiment Planner DOE skill provides systematic experimental design for nanomaterial synthesis and processing optimization, enabling efficient exploration of parameter space and robust process development. ## Capabilities - Factorial design generation - Response surface methodology - Taguchi method implementation - ANOVA analysis - Optimization predictions - Robustness testing ## Usage Guidelines ### DOE Workflow 1. **Design Selection** - Identify factors and levels - Choose appropriate design - Calculate required runs 2. **Execution Planning** - Randomize run order - Include replicates - Plan blocking if needed 3. **Analysis** - Perform ANOVA - Build response models - Optimize parameters ## Process Integration - Nanoparticle Synthesis Protocol Development - Thin Film Deposition Process Optimization - Nanolithography Process Development ## Input Schema ```json { "factors": [{ "name": "string", "low": "number", "high": "number", "type": "continuous|categorical" }], "responses": ["string"], "design_type": "factorial|fractional|rsm|taguchi", "constraints": { "max_runs": "number", "blocking": "boolean" } } ``` ## Output Schema ```json { "design"
- Purpose
- Capabilities
- Usage Guidelines
- DOE Workflow
- Process Integration
- Input Schema
- Output Schema
What does the experiment-planner-doe skill do?
Design of Experiments skill for systematic optimization of nanomaterial synthesis and processing
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill experiment-planner-doe --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.