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Design et création · SKILL.md

clinical-trial-protocol

clinical-trial-protocol

Draft a clinical trial protocol synopsis with the elements regulators and IRBs expect. Use when asked to write a clinical trial protocol, a study protocol synopsis, a trial design, or to structure endpoints/eligibility/statistics for an interventional study. Produces a structured protocol synopsis — objectives, design, population with eligibility, intervent…

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name: clinical-trial-protocol description: "Draft a clinical trial protocol synopsis with the elements regulators and IRBs expect. Use when asked to write a clinical trial protocol, a study protocol synopsis, a trial design, or to structure endpoints/eligibility/statistics for an interventional study. Produces a structured protocol synopsis — objectives, design, population with eligibility, interventions, endpoints, statistics, and safety/ethics — for expert review. (For non-clinical/UX research, use research-protocol.)"

Clinical Trial Protocol Skill

A clinical trial protocol stands or falls on a few linked decisions: a clear objective, a design that can answer it, endpoints that measure it, eligibility that defines who's studied, and a statistical plan that can detect the effect. This skill drafts a protocol synopsis that makes those decisions explicit and internally consistent, in the structure IRBs/ethics committees and regulators expect. (For a general academic or UX study, use research-protocol.)

Safety & compliance note: this is a drafting aid for expert review, not regulatory, medical, or statistical sign-off. Real trials require qualified investigators, a statistician, and IRB/ethics and regulatory approval (e.g. GCP, ICH, local law). Do not invent efficacy/safety data; mark assumptions for the study team to set.

Working from a brief

Given "a phase II trial of drug X for condition Y", produce the full synopsis anyway — infer a defensible design, endpoints, and eligibility appropriate to the phase and condition, and clearly label every inferred choice as a draft assumption for the study team and statistician to confirm. Never fabricate prior data or effect sizes; state them as placeholders to be set.

Required Inputs

Ask for these only if they aren't already provided (else infer and label as draft):

  • Intervention & condition — what's being studied, in whom, and the phase.
  • Objective / question — the primary question the trial must answer.
  • Comparator — placebo, standard of care, or active control; and blinding.
  • Outcome of interest — how benefit (and harm) will be measured.
  • Constraints — known population, setting, and any regulatory context.

Output Format

Clinical Trial Protocol Synopsis: [title]

  • 1. Background & rationale — the problem, prior evidence (mark placeholders), and why this trial.
  • 2. Objectives — primary and secondary, each as a precise, testable statement.
  • 3. Design — phase, type (RCT, etc.), allocation/randomisation, blinding, arms, and duration.
  • 4. Population — setting, and explicit inclusion and exclusion criteria.
  • 5. Interventions — the intervention and comparator: dose/regimen, administration, and concomitant rules.
  • 6. Endpoints — primary endpoint (one, tied to the primary objective), secondary endpoints, and how/when each is measured.
  • 7. Statistical considerations — analysis populations, the primary analysis, and a sample-size basis (with assumptions flagged for the statistician).
  • 8. Safety — adverse-event definitions, monitoring/reporting, stopping rules, and any DSMB.
  • 9. Ethics & conduct — informed consent, IRB/ethics approval, data integrity, and GCP adherence.

Close with assumptions to confirm and a reminder that a qualified investigator and statistician must own the final protocol.

Quality Checks

  • The primary objective, primary endpoint, and primary analysis are aligned and consistent
  • There is exactly one primary endpoint, clearly measurable and time-anchored
  • Inclusion/exclusion criteria are explicit and operationally checkable
  • Sample-size basis is stated with its assumptions flagged for the statistician
  • Safety monitoring, reporting, and stopping rules are present
  • Ethics/consent/IRB and GCP elements are included; no efficacy/safety data is invented

Anti-Patterns

  • Do not invent prior efficacy/safety data or effect sizes — mark them as placeholders to be set
  • Do not list multiple "primary" endpoints — pick one and demote the rest to secondary
  • Do not let objective, endpoint, and analysis drift apart — they must answer the same question
  • Do not present this as regulatory/statistical sign-off — it's a draft for expert review
  • Do not omit safety monitoring and stopping rules — a protocol without them isn't approvable

Based On

Clinical research practice — objective-endpoint-analysis alignment, explicit eligibility, sample-size justification, and ICH-GCP safety/ethics structure.

Example Trigger Phrases

  • "Write a clinical trial protocol."
  • "Draft a study protocol synopsis."
  • "Design the trial."
  • "Structure endpoints, eligibility and statistics for an interventional study."
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