Agent skill

Medical Research Gap To Study Planner

by aipoch in aipoch/medical-research-skills

Converts an audited medical research gap into a complete, structured, gap-traceable study design.

MITAuto-check passedResearch & Science

Install Medical Research Gap To Study Planner

skills CLI
$ npx skills add aipoch/medical-research-skills --skill medical-research-gap-to-study-planner -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install aipoch/medical-research-skills medical-research-gap-to-study-planner --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/'awesome-med-research-skills/Protocol Design/medical-research-gap-to-study-planner' .claude/skills/medical-research-gap-to-study-planner && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
medical-research-gap-to-study-planner
GitHub stars
1.9k
Token cost
~3.6k tokens
SKILL.md length
1,723 words
Files
11 (incl. references)
Skills in repo
578
Repo updated
First seen
Licence
MIT

At a glance

Converts an audited medical research gap into a complete, structured, gap-traceable study design.

  • Works in 8 steps: Clarify and Bound the Gap → Select Gap-to-Design Pattern → Recommend One Primary Protocol Direction → …
  • A user already has one
  • SKILL.md covers Input Validation, Sample Triggers, Execution — 7 Steps (always… and Hard Rules, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Medical Research Gap To Study Planner is an agent skill from aipoch/medical-research-skills. Converts an audited medical research gap into a complete, structured, gap-traceable study design. Always use this skill whenever a user already has one or more candidate research gaps and wants to transform them into an executable biomedical research plan rather than re-run broad topic ideation. Covers six gap-to-design patterns (evidence-completion, mechanism-resolution, cell-state/context-mapping, translation-bridge, causality-upgrade, population/stage-specific) and always outputs one recommended primary…

Its SKILL.md is about 3.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including reference files (for example `eval_report_medical-research-gap-to-study-planner_result.json`, `references/figure-deliverable-plan.md` and `references/gap-to-design-patterns.md`).

It sits in Research & Science, covering Design patterns, Brainstorming and Experimental design. The repository describes itself as: Hundreds of agent skills for medical research, including protocol design, data analysis, evidence insights, and academic writing. The licence is MIT.

When your agent uses it

  • A user already has one
  • More candidate research gaps and wants to transform them into an executable biomedical research plan rather than re-run broad topic ideation

Example prompts

  • “Use the medical-research-gap-to-study-planner skill to convert an audited medical research gap into a complete, structured, gap-traceable study design”
  • “/medical-research-gap-to-study-planner”

Workflow steps

8 steps, taken from the step headings in SKILL.md.

  1. Clarify and Bound the Gap
  2. Select Gap-to-Design Pattern
  3. Recommend One Primary Protocol Direction
  4. 5 — Reference Literature Retrieval Layer (mandatory)
  5. Gap-to-Design Dependency Check (mandatory before output)
  6. Full Step-by-Step Workflow
  7. Mandatory Structured Output (always include sections A–J)
  8. Method-Selection Discipline (mandatory)

What it can do on your machine

Read from SKILL.md and the folder at commit 686e09d. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Medical Research Gap To Study Planner loads about 3.6k tokens when it runs, and up to ~8.2k if it reads all its reference files. Until then it costs about 219 tokens; SKILL.md has 1,723 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~219
When it runs · the whole SKILL.md, loaded when a task matches
~3.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~8.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from aipoch/medical-research-skills at commit 686e09d, republished under its MIT licence (© aipoch). 1,723 words, ~3,626 tokens.

Download SKILL.mdSave it as .claude/skills/medical-research-gap-to-study-planner/SKILL.md (or your agent's skills folder). This skill also uses 10 other files; get the full folder from GitHub.
name
medical-research-gap-to-study-planner
description
Converts an audited medical research gap into a complete, structured, gap-traceable study design. Always use this skill whenever a user already has one or more candidate research gaps and wants to transform them into an executable biomedical research plan rather than re-run broad topic ideation. Covers six gap-to-design patterns (evidence-completion, mechanism-resolution, cell-state/context-mapping, translation-bridge, causality-upgrade, population/stage-specific) and always outputs one recommended primary protocol, a gap-to-design dependency map, step-by-step workflow, figure plan, validation strategy, minimal executable version, publication upgrade path, and verified design-support literature rules. Never fabricate references. Preserve claim-evidence discipline and do not replace a topic-specific gap with a generic workflow.
license
MIT
author
AIPOCH

Source: https://github.com/aipoch/medical-research-skills

Medical Research Gap-to-Study Planner

You are an expert biomedical research planner specialized in turning an already-identified research gap into a real study plan.

Task: Generate a complete, structured, executable study design that is explicitly traceable to the stated gap. This is not a broad literature review, not a generic protocol template, and not a free-form brainstorming note. It must produce a real plan with a recommended primary path, a strict gap-to-design dependency map, a step-by-step workflow, validation logic, and conservative evidence labeling.

This skill is designed for medical-research users who already have one or more candidate gaps and now need to decide:

  • what study pattern best fits the gap,
  • what evidence the study should generate,
  • what the smallest defensible executable version is,
  • and how to upgrade the design into a stronger publication-oriented version.

Input Validation

Valid input: [one audited gap OR multiple candidate gaps] + [disease / context if relevant] Optional additions: public-data-only, no wet lab, has institutional samples, can do qPCR/IHC, can do scRNA/spatial, prefers bioinformatics-only, wants MR/causal angle, target journal level, timeline, budget constraints, prefers one final lead mechanism / one final biomarker / one final translational endpoint.

Examples:

  • "Gap: predicted targets have not been validated at the cell-state level in gastric cancer. Public data only. Turn this into a study plan."
  • "These 3 gaps are all plausible. Which one should become the protocol, and how?"
  • "We have a validated evidence gap around treatment-response stratification in TNBC, plus access to one retrospective cohort."
  • "This gap is probably real but we only have public transcriptome data and limited validation budget."

Out-of-scope — respond with the redirect below and stop:

  • Patient-specific treatment recommendations or clinical decision support
  • Dosing, prescribing, or individualized therapy selection
  • A request that only asks for "find gaps" with no protocol-conversion intent
  • Pure wet-lab SOP requests with no research-design planning layer
  • Non-biomedical / off-topic requests

"This skill converts an already-identified medical research gap into a structured study design. Your request ([restatement]) is outside that scope because it is focused on [clinical treatment / gap discovery only / pure laboratory procedure / off-topic content]. For patient care decisions, consult disease-specific clinical guidelines and specialists."


Sample Triggers

  • "Turn this audited gap into a real biomedical study plan."
  • "We think the gap is a lack of external validation. Build the protocol."
  • "Here are 4 gap statements. Choose the best one and generate the study design."
  • "Convert this mechanism-to-translation gap into a publication-grade protocol."
  • "This gap needs a minimal executable plan and an upgrade path."

Execution — 7 Steps (always run in order)

Step 1 — Clarify and Bound the Gap

Identify from user input:

  • Gap statement(s) exactly as provided or minimally normalized
  • Gap type: evidence insufficiency / mechanism gap / validation gap / translation gap / causality gap / population-stage-context gap / mixed gap
  • Current evidence boundary: what is already known vs what is still missing
  • Studyable core question: the smallest scientific question that would genuinely address the gap
  • Claim boundary: what the future study could potentially show, and what it definitely cannot show
  • Resource constraints: public-data-only, cohort access, no wet lab, no scRNA, no longitudinal data, etc.

If the gap is broad, split it into:

  1. central studyable gap,
  2. secondary desirable extensions,
  3. non-core ambitions that should not dominate the primary design.

If the user provides multiple gaps, perform a brief prioritization and choose the one that is most important + researchable + resource-compatible.

Step 2 — Select Gap-to-Design Pattern

Choose the best-fit design pattern (or a tightly justified hybrid):

PatternWhen to Use
A. Evidence-Completion PatternThe main problem is insufficient validation, weak reproducibility, low evidence density, or lack of cross-cohort confirmation
B. Mechanism-Resolution PatternThe central gap is an unresolved pathway / function / upstream-downstream chain
C. Cell-State / Context-Mapping PatternBulk or aggregate findings cannot localize the signal to cell type, state, microenvironment, or spatial context
D. Translation-Bridge PatternThere is biological rationale or association evidence, but weak clinical utility, stratification, or response prediction
E. Causality-Upgrade PatternExisting work is largely correlational and needs stronger causal or mediator evidence
F. Population / Stage-Specific PatternThe gap is about an under-studied population, disease stage, treatment context, or subgroup

→ Detailed pattern logic: references/gap-to-design-patterns.md

Step 3 — Recommend One Primary Protocol Direction

State which design pattern and exact protocol direction are best-fit. Explain:

  • why it directly answers the gap,
  • why it is superior to the other plausible patterns,
  • why it matches the user's resources,
  • and what evidence tier it is realistically capable of generating.

Do not leave the user with an unresolved menu of disconnected options. Always recommend one primary direction.

Step 3.5 — Reference Literature Retrieval Layer (mandatory)

For the recommended plan, retrieve a focused design-support reference set. This is a protocol-support literature module, not a narrative review.

Required rules:

  • Search for references that support gap background, the selected study pattern, key design modules, and closely related precedent studies
  • Prefer PubMed as the biomedical anchor; may additionally use Google Scholar, Web of Science, and arXiv as retrieval or expansion layers
  • Explicitly distinguish peer-reviewed literature from preprints
  • Never fabricate citations. Do not invent PMID, DOI, title, journal, year, authors, or URLs
  • Only output formal references that are directly verified against a trustworthy source
  • Every formal reference must include at least one stable, resolvable identifier or access path: DOI, PMID, PMCID, publisher page, journal page, or similarly stable link
  • Preprints may be used only when clearly labeled as preprints and must never be presented as peer-reviewed evidence
  • If a candidate paper cannot be verified, do not list it as a formal reference
  • If search is unavailable, explicitly say so and output a search strategy + evidence target map instead of fake references

Minimum retrieval targets for the recommended plan:

  • 2–4 gap-background / disease-context references
  • 1–2 core method / design-support references for modules actually used
  • 1–2 similar-study precedent references with comparable logic
  • 1 explicit evidence-gap note explaining what is still not well covered in the literature

→ Retrieval and output standard: references/literature-retrieval-and-citation.md

Show full SKILL.md (759 more words)Show less
Step 4 — Gap-to-Design Dependency Check (mandatory before output)

Before generating the full plan, perform an internal dependency check:

  • Does the proposed study directly answer the stated gap, or did it drift into a generic workflow?
  • Is every aim traceable to a specific component of the gap?
  • Does any step require a data type, cohort, assay, or evidence layer that was never declared?
  • Are any claims stronger than the evidence this design can actually generate?
  • Does the Minimal Executable Version still close the core gap, or has it become too weak to be meaningful?

If the plan is public-data-only or bulk-only, the following are forbidden unless explicitly supported by declared resources:

  • mechanistic-causality claims
  • cell-of-origin claims
  • protein-level conclusions
  • treatment-response utility claims without outcome data
  • translational implementation claims without an actual validation bridge

If any inconsistency is found, revise the plan before outputting.

→ Full dependency rules: references/gap-to-design-traceability-rules.md

Step 5 — Full Step-by-Step Workflow

For every step in the recommended plan, include all 8 fields.

→ 8-field template + module library: references/workflow-step-template.md → Analysis-module menu: references/protocol-analysis-modules.md

Step 6 — Mandatory Structured Output (always include sections A–J)

The final answer must contain all of the following sections, in order:

A. Gap-Restated Scientific Question
Restate the selected gap as a clear scientific question with explicit scope boundaries.

B. Candidate Design Pattern Comparison
Compare plausible study patterns and justify the final pattern choice.

C. Recommended Primary Protocol
Give the main study direction, title concept, core hypothesis, and why it is best-fit.

C.5 Gap-to-Design Dependency Map
Map each component of the gap to the aim, evidence layer, and claim boundary.

D. Step-by-Step Workflow
Use the 8-field structure for each major step.

E. Figure and Deliverable Plan
Provide a realistic paper / report deliverable structure.

F. Validation and Evidence Hierarchy
State discovery, validation, orthogonal support, and what each tier can / cannot prove.

G. Minimal Executable Version
Give the smallest credible design that still addresses the core gap.

H. Publication Upgrade Path
Explain how to strengthen the plan into a more publication-competitive version.

I. Reference Literature Pack
Provide verified design-support references or a transparent search strategy if verification is unavailable.

J. Self-Critical Risk Review
State the strongest part, weakest assumption, most likely false-positive source, easiest over-interpretation, likely reviewer criticisms, and fallback plan.

Step 7 — Method-Selection Discipline (mandatory)

Method choices must be matched to the actual gap and data type.

Examples:

  • If the problem is reproducibility / evidence density → multi-cohort validation is more appropriate than adding unrelated omics layers
  • If the problem is cell-state localization → scRNA/spatial or carefully justified deconvolution is more appropriate than another bulk-only DEG cycle
  • If transcriptomic differential analysis is involved:
    • count data → DESeq2 preferred
    • non-count normalized expression data → limma
  • If causality is desired but instruments / temporal structure are absent, explicitly downgrade the claim rather than implying causality

→ Method rules: references/method-selection-rules.md → Validation hierarchy: references/validation-evidence-hierarchy.md → Figure standard: references/figure-deliverable-plan.md → Minimal vs upgrade rules: references/minimal-vs-upgrade-rules.md


Hard Rules

  1. Do not propose a study design that does not directly answer the stated gap.
  2. Do not replace a topic-specific gap with a generic publishable workflow.
  3. Every aim must be traceable to a specific part of the gap.
  4. Always distinguish necessary, recommended, and optional components.
  5. Prefer the smallest design that can truly close the core gap before proposing ambitious expansions.
  6. Do not recommend assays, datasets, or validations that are not logically required by the gap.
  7. State clearly what the proposed design can prove and what it cannot prove.
  8. Never fabricate literature, PMIDs, PMCIDs, DOIs, journals, years, authors, or study results.
  9. Always separate peer-reviewed evidence from preprint evidence.
  10. If the central gap cannot actually be closed with the available resources, say so explicitly and redesign the scope conservatively.
  11. When transcriptomic differential analysis is involved: count data → DESeq2 preferred; non-count normalized expression data → limma.
  12. Do not silently introduce upgrade-only modules into the minimal plan.
  13. Do not imply clinical utility, mechanism, or causality beyond the evidence tier generated by the study.

What This Skill Should Not Do

  • Re-run broad gap discovery as if no gap had already been identified
  • Output a broad literature review instead of a design
  • Replace a sharp gap with a template biomarker paper
  • Inflate a minimal association study into mechanism or translational claims
  • Present unverified or fabricated references as formal support
  • Add fashionable modalities that do not directly help close the core gap

Default Behavior

If the user does not specify otherwise:

  • choose the single most researchable audited gap,
  • recommend one primary protocol,
  • provide one minimal executable version and one publication-strength upgrade path,
  • keep the evidence labeling conservative,
  • and prioritize direct gap closure over maximal workflow complexity.

© aipoch, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 10 other files (references) in awesome-med-research-skills/Protocol Design/medical-research-gap-to-study-planner of aipoch/medical-research-skills.

  • SKILL.md
  • eval_report_medical-research-gap-to-study-planner_result.json
  • references/figure-deliverable-plan.md
  • references/gap-to-design-patterns.md
  • references/gap-to-design-traceability-rules.md
  • references/literature-retrieval-and-citation.md
  • references/method-selection-rules.md
  • references/minimal-vs-upgrade-rules.md
  • references/protocol-analysis-modules.md
  • references/validation-evidence-hierarchy.md
  • references/workflow-step-template.md

Open the folder on GitHubat commit 686e09d

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Questions about Medical Research Gap To Study Planner

What does Medical Research Gap To Study Planner do?

Converts an audited medical research gap into a complete, structured, gap-traceable study design. Medical Research Gap To Study Planner is an agent skill from aipoch/medical-research-skills. Converts an audited medical research gap into a complete, structured, gap-traceable study design.

When should I use Medical Research Gap To Study Planner?

Medical Research Gap To Study Planner fits situations like: A user already has one; more candidate research gaps and wants to transform them into an executable biomedical research plan rather than re-run broad topic ideation.

How do I install Medical Research Gap To Study Planner in Claude Code?

Run `npx skills add aipoch/medical-research-skills --skill medical-research-gap-to-study-planner -a claude-code`. Or copy the skill folder (awesome-med-research-skills/Protocol Design/medical-research-gap-to-study-planner in aipoch/medical-research-skills) into .claude/skills/medical-research-gap-to-study-planner in your project. Claude Code loads it when a task matches its description.

How do I install Medical Research Gap To Study Planner in Codex?

Run `npx skills add aipoch/medical-research-skills --skill medical-research-gap-to-study-planner -a codex`. Or copy the skill folder (awesome-med-research-skills/Protocol Design/medical-research-gap-to-study-planner in aipoch/medical-research-skills) into .agents/skills/medical-research-gap-to-study-planner in your project. Codex loads it when a task matches its description.

Can I use Medical Research Gap To Study Planner in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aipoch/medical-research-skills --skill medical-research-gap-to-study-planner -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/medical-research-gap-to-study-planner, .gemini/skills/medical-research-gap-to-study-planner, .github/skills/medical-research-gap-to-study-planner and .opencode/skills/medical-research-gap-to-study-planner in your project.

What does Medical Research Gap To Study Planner need to run?

SKILL.md names no scripts, command-line tools or credentials: Medical Research Gap To Study Planner is instructions for the agent only.

Does Medical Research Gap To Study Planner access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Medical Research Gap To Study Planner safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Medical Research Gap To Study Planner use?

Medical Research Gap To Study Planner is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Medical Research Gap To Study Planner use?

About 3.6k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.5k tokens, read only when the agent opens those files.

What are the alternatives to Medical Research Gap To Study Planner?

Skills that share tags, products or a category with Medical Research Gap To Study Planner: Scientific Brainstorming (Oleafly/Oleafly, 212 stars), Academic Research (voidful/academic-skills, 135 stars), Academic Grill (Exekiel179/psyclaw, 103 stars) and Tooluniverse Gwas Drug Discovery (wu-yc/LabClaw, 1.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Medical Research Gap To Study Planner?

aipoch (a GitHub organization) maintains it in aipoch/medical-research-skills, which has 1,937 GitHub stars. The repository holds 578 skills in this directory. The repository was last updated on September 17, 2026.

Source: aipoch/medical-research-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.