Individual skill
experimental-design-guide
Design rigorous experiments using DOE, factorial designs, and response surfaces
skills/research/methodology/experimental-design-guide/SKILL.md
Source commit bf44b3cd617fa94c8a1b254c5d1987142ca3d631
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 5, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 313
- Repository last updated
- Jun 19, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- design Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
Read excerpt
# Experimental Design Guide
A skill for designing rigorous experiments using formal Design of Experiments (DOE) methodology. Covers factorial designs, fractional factorials, response surface methods, and optimal design strategies for scientific research.
## Fundamental Principles
### Fisher's Three Principles
1. **Randomization**: Assign experimental units to treatments randomly to eliminate systematic bias
2. **Replication**: Include enough replicates to estimate experimental error and ensure statistical power
3. **Blocking**: Group similar experimental units to reduce nuisance variability
### Sample Size and Power Analysis
