cc-study-design
Use when designing or auditing the experimental plan for a Cancer Cell (Cell Press) study — orthogonal validation across in vitro, in vivo, and human tumor systems, with controls, replicates, power, randomization, and blinding. It plans design; it does not run statistics or write figures.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cc-study-design --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.
# Experimental Design (cc-study-design) ## When to trigger - The mechanism rests on a single system (e.g., cell lines only) - Reviewers will ask "is this true in vivo?" or "does it hold in patients?" - Controls, replicates, or sample-size logic are unclear - Planning mouse / PDX / organoid experiments and unsure about rigor elements ## Orthogonal validation ladder Cancer Cell expects a mechanism corroborated across **independent, complementary systems**. Build the strongest ladder the biology allows: | Layer | Systems | Role | |-------|---------|------| | In vitro | Cell lines (multiple, authenticated), primary cells, co-cultures, biochemistry | Establish mechanism, gain/loss-of-function, epistasis | | Functional genetics | CRISPR KO/KI, shRNA/siRNA with rescue, point mutants, degrons | Causality and specificity | | In vivo | GEMM, syngeneic, xenograft, **PDX**, orthotopic, metastasis models | Mechanism operates in a tumor in an organism | | 3D / ex vivo | Tumor **organoids**, patient-derived organoids, slice cultures, spheroids | Bridge to human, drug response | | Human | Patient tumor samples, TMAs, scRNA-seq, public cohorts (TCGA), outcome data | Translational anchor / clinical
- When to trigger
- Orthogonal validation ladder
- Controls (the parts reviewers attack)
- Replicates: biological vs technical
- Sample size, randomization, blinding (especially animals)
- Human-sample design
- Checklist
- Anti-patterns
- Output format
What does the cc-study-design skill do?
Use when designing or auditing the experimental plan for a Cancer Cell (Cell Press) study — orthogonal validation across in vitro, in vivo, and human tumor systems, with controls, replicates, power, randomization, and blinding. It plans design; it does not run statistics or write figures.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cc-study-design --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 brycewang-stanford/Awesome-Journal-Skills, a repository with 909 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.