Conjoint Design
A citation-backed conjoint-experiment methodologist: attribute design, power math, and AMCE/AMIE estimation done right.
Test report
- Verdict
- Tested · Works
- Score
- Tested
- Jul 15, 2026
- Environment
- Claude Code 2.x (agent harness)
- Upstream re-checked
- Jul 18, 2026 · a963021
Ran a real A/B on an election-candidate conjoint design: the unguided baseline used Cohen's-d power benchmarks, added a raw interaction dummy for AMIE, and claimed 'voters prefer X' from a significant AMCE - the skill's own text flags all three as documented methodological errors and additionally caught a forced-choice/abstention validity issue specific to the electoral framing.
Scored on four weighted criteria — install, triggering, output vs. baseline, docs. How scoring works
- Installs cleanly 5/5
- Triggers reliably 5/5
- Output vs. baseline 10/10
- Docs & honesty 5/5
What Conjoint Design does
Guides the design and analysis of conjoint (choice-based) experiments for social science research: attribute architecture and randomization, effective-N power calculations, treatment realism checks, and AMCE/AMIE estimation with a 20-item pre-registration quality checklist. Triggers on requests to design a conjoint or choice experiment, calculate conjoint power, or estimate AMCE/AMIE/marginal-means effects from choice data.
How to install Conjoint Design
git clone https://github.com/scdenney/open-science-skills
cd open-science-skills
mkdir -p ~/.claude/skills
cp -r plugin/skills/conjoint-design ~/.claude/skills/conjoint-design
Skills live in ~/.claude/skills/ (global) or .claude/skills/
(per-project). Restart Claude Code after installing.
Commands — how to trigger Conjoint Design
-
/conjoint-designA citation-backed conjoint-experiment methodologist: attribute design, power math, and AMCE/AMIE estimation done right.
It also activates on plain-language prompts like these:
-
Help me design a conjoint experiment testing candidate attributes -
Can you check the power calculation for my choice-based survey? -
I need to estimate AMCE effects from my conjoint survey data
Frequently asked questions
- Is the Conjoint Design skill free?
- Yes. The skill itself is free from scdenney/open-science-skills. SkillProof publishes the install command and an independent test verdict at no cost.
- Does Conjoint Design work with Claude Code?
- We tested it with Claude Code 2.x (agent harness) on Jul 15, 2026. Verdict: Tested · Works. Ran a real A/B on an election-candidate conjoint design: the unguided baseline used Cohen's-d power benchmarks, added a raw interaction dummy for AMIE, and claimed 'voters prefer X' from a significant AMCE - the skill's own text flags all three as documented methodological errors and additionally caught a forced-choice/abstention validity issue specific to the electoral framing.
- What is the Conjoint Design SkillProof Score?
- 10.0/10 — installs cleanly 5/5, triggers reliably 5/5, output vs. baseline 10/10, docs & honesty 5/5.
- How do I install Conjoint Design?
- Copy the install command from this page, run it in your terminal, and restart Claude Code. Skills live in ~/.claude/skills/ (global) or .claude/skills/ inside a project.
- Can I use Conjoint Design with Cursor, Copilot, Gemini CLI, Codex or other AI tools?
- The SKILL.md format is native to Claude (Claude Code, Desktop, claude.ai). The instructions inside adapt to other assistants: Cursor rules, GitHub Copilot instructions, Windsurf rules, Custom GPTs, AGENTS.md for OpenAI Codex, and GEMINI.md for Google Gemini CLI — our conversion guides cover each, and the free converter on the tools page does the wrapping for you.