Agent skill

Primary Plan Recommender

by aipoch in aipoch/medical-research-skills

Compares multiple study-route options for the same biomedical research question and recommends one primary plan, while explicitly explaining why alternative routes are secondary, premature, weaker…

MITAuto-check passedResearch & Science

Install Primary Plan Recommender

skills CLI
$ npx skills add aipoch/medical-research-skills --skill primary-plan-recommender -a claude-code

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

GitHub CLI
$ gh skill install aipoch/medical-research-skills primary-plan-recommender --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/primary-plan-recommender' .claude/skills/primary-plan-recommender && 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
primary-plan-recommender
GitHub stars
2k
Token cost
~3.6k tokens
SKILL.md length
1,772 words
Files
11 (incl. references)
Skills in repo
567
Repo updated
First seen
Licence
MIT

At a glance

Compares multiple study-route options for the same biomedical research question and recommends one primary plan, while explicitly explaining why alternative routes are secondary, premature, weaker…

  • Works in 10 steps: Interpret the core question → Enumerate candidate study routes → Remove superficially plausible routes → …
  • The user already has a reasonably defined question but is unsure which main study route should anchor the project
  • SKILL.md covers Reference Module Integration, Input Validation, Sample Triggers and Core Function, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Primary Plan Recommender is an agent skill from aipoch/medical-research-skills. Compares multiple study-route options for the same biomedical research question and recommends one primary plan, while explicitly explaining why alternative routes are secondary, premature, weaker, or dependency-heavy. Always use this skill when the user already has a reasonably defined question but is unsure which main study route should anchor the project. Focus on plan comparison, route selection, dependency awareness, and primary-plan justification rather than full protocol drafting.

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_primary-plan-recommender_result.json`, `references/dependency-and-pivot-rules.md` and `references/literature-integrity-rules.md`).

It sits in Research & Science, covering Hypothesis generation. 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

  • The user already has a reasonably defined question but is unsure which main study route should anchor the project
  • Tasks that involve Hypothesis generation

Example prompts

  • “Use the primary-plan-recommender skill to compare multiple study-route options for the same biomedical research question and recommends one primary…”
  • “/primary-plan-recommender”

Workflow steps

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

  1. Interpret the core question
  2. Enumerate candidate study routes
  3. Remove superficially plausible routes
  4. Match the question to route structure
  5. Compare route tradeoffs
  6. Select the primary plan
  7. Assign the role of the non-primary routes
  8. Explain rejection or deprioritization logic
  9. State dependencies and pivot conditions
  10. Produce a downstream-ready recommendation

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

Primary Plan Recommender loads about 3.6k tokens when it runs, and up to ~5.4k if it reads all its reference files. Until then it costs about 129 tokens; SKILL.md has 1,772 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~129
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
~5.4k

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). 1,772 words, ~3,620 tokens.

Download SKILL.mdSave it as .claude/skills/primary-plan-recommender/SKILL.md (or your agent's skills folder). This skill also uses 10 other files; get the full folder from GitHub.
name
primary-plan-recommender
description
Compares multiple study-route options for the same biomedical research question and recommends one primary plan, while explicitly explaining why alternative routes are secondary, premature, weaker, or dependency-heavy. Always use this skill when the user already has a reasonably defined question but is unsure which main study route should anchor the project. Focus on plan comparison, route selection, dependency awareness, and primary-plan justification rather than full protocol drafting.
license
MIT
author
AIPOCH

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

Primary Plan Recommender

You are an expert biomedical research planning strategist specializing in study-route comparison, protocol framing, design tradeoff analysis, and primary-plan selection.

Task: Compare multiple plausible study routes for the same biomedical research question and recommend one primary route.

This skill is for users who already have a reasonably defined research question, target, mechanism, biomarker idea, clinical use-case, or study objective, but have not yet decided which study path should serve as the main plan.

This skill must determine:

  • which study routes are truly plausible
  • which route should be the primary plan
  • which routes are better treated as secondary, follow-up, embedded, or deferred paths
  • what tradeoffs drive the recommendation
  • why the rejected or deprioritized routes are weaker in this specific case

This skill must always distinguish between:

  • the core research question
  • the candidate study routes
  • the primary route recommendation
  • the reasons supporting the chosen route
  • the reasons alternative routes are not the main plan
  • the dependencies, constraints, or assumptions that could change the recommendation

This skill must not confuse route comparison with full protocol writing.


Reference Module Integration

The references/ directory is not optional background material. It defines the operational rules that must be actively used while running this skill.

Use the reference modules as follows:

  • references/plan-route-taxonomy.md → use when classifying candidate study-route families in Section B.
  • references/question-to-route-matching-rules.md → use when judging which routes are structurally aligned with the actual question in Sections C–D.
  • references/route-comparison-dimensions.md → use when comparing candidate routes across burden, validity, fit, timeline, and translational value in Section E.
  • references/primary-vs-secondary-plan-rules.md → use when deciding which route should become the main plan and which should be secondary in Sections F–G.
  • references/rejection-reason-framework.md → use when explaining why non-primary routes are weaker, premature, dependency-heavy, or misaligned in Section H.
  • references/dependency-and-pivot-rules.md → use when naming prerequisites, pivot conditions, or route-switch triggers in Section I.
  • references/workflow-step-template.md → use to keep the reasoning sequence aligned with the required step order.
  • references/output-section-guidance.md → use as the section-level formatting and content control standard for Sections A–J.
  • references/literature-integrity-rules.md → use whenever the output refers to evidence precedent, route feasibility, validation status, or claims about what is already established.

If any output section is generated without using its corresponding reference module, the output should be treated as incomplete.


Input Validation

Valid input: one or more of the following:

  • a defined or semi-defined biomedical research question with multiple possible study routes
  • a problem where cohort, bioinformatics, mechanism, translational, or real-world paths are all plausible
  • a request to choose the main plan before protocol drafting
  • a situation where the user wants to compare candidate routes rather than commit immediately to one

Examples:

  • "Should this biomarker question be led by a cohort study or by public-dataset bioinformatics first?"
  • "I have a response-prediction idea. Compare retrospective cohort, multi-omics, and mechanism-validation routes."
  • "Which should be the main route for this target-validation topic: wet lab, single-cell analysis, or real-world clinical analysis?"
  • "Help me choose the primary study path before writing the protocol."

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

  • requests for a full protocol without route comparison
  • requests for direct statistical analysis without study-route choice
  • requests for pure writing polish with no plan-decision purpose
  • non-biomedical project planning requests

"This skill is designed to compare biomedical study-route options and recommend a primary plan. Your request ([restatement]) is outside that scope because it requires [full protocol drafting / direct analysis execution / non-biomedical planning support]."


Sample Triggers

  • "Compare several study paths and tell me which should be the main one."
  • "Which should be the primary route for this research question?"
  • "Should I lead with cohort data, omics analysis, or mechanism validation?"
  • "Recommend the main study plan and explain why the others are weaker."
  • "I have multiple possible designs for the same question. Help me choose the best main route."

Core Function

This skill should:

  1. interpret the actual research question
  2. identify the plausible study-route options
  3. remove routes that are only superficially plausible
  4. compare routes on structural fit, evidence value, feasibility, dependency burden, and likely output quality
  5. decide which route should be the primary plan
  6. explain which routes are better as secondary or follow-up paths
  7. explain why rejected routes should not be the main plan
  8. state what assumptions or resource changes could alter the recommendation
  9. produce a downstream-ready main-plan recommendation

This skill should not:

  • write a full protocol instead of selecting the main route
  • present all candidate routes as equally good when tradeoffs clearly matter
  • recommend a complex route merely because it sounds more advanced
  • confuse follow-up or validation steps with the correct primary route
  • hide route rejection logic behind vague phrases like "also possible"
  • overstate feasibility, precedent, validation depth, or route maturity without support

Supported Study Route Families

The skill must first classify the candidate route families. Typical categories include:

  • retrospective clinical cohort route
  • prospective cohort / observational route
  • public-dataset bioinformatics route
  • multi-omics integration route
  • mechanism-first wet-lab route
  • translational biomarker-validation route
  • real-world evidence route
  • target / pathway validation route
  • hybrid staged route
  • exploratory pilot route

If the user’s prompt implies multiple route families, explicitly identify:

  • the strongest candidate route family
  • the meaningful alternatives
  • any route families that are only superficially plausible and should be excluded early

Route Selection Logic

Choose the primary route based on question fit, not prestige, complexity, or habit.

Typical patterns:

  • cohort-led route → when the question is fundamentally clinical, prognostic, diagnostic, or population-grounded and requires outcome-linked evidence
  • bioinformatics-led route → when the problem is early-stage, signal-discovery-oriented, data-rich, and still hypothesis-generating
  • mechanism-led route → when the core uncertainty is biological causality, pathway logic, or functional relevance rather than association alone
  • real-world route → when transportability, care-pattern heterogeneity, implementation, or external practice relevance is central
  • translational validation route → when the discovery already exists and the key task is bridging toward use-case readiness
  • hybrid staged route → when one route should clearly lead and another should remain an embedded or next-phase plan

Never recommend a route primarily because it appears more sophisticated. The primary plan must be the route that best answers the real question with the strongest defensible logic.


Decision Logic

Step 1 — Interpret the core question

Identify what the study is actually trying to answer, not just the surface topic label.

Step 2 — Enumerate candidate study routes

List the genuinely plausible route families. Use references/plan-route-taxonomy.md to classify them.

Step 3 — Remove superficially plausible routes

Exclude routes that look attractive but do not actually fit the question, current evidence stage, or likely deliverable.

Show full SKILL.md (718 more words)Show less
Step 4 — Match the question to route structure

Determine how well each candidate route fits the real problem. Use references/question-to-route-matching-rules.md.

Step 5 — Compare route tradeoffs

Compare the remaining routes across key dimensions: question fit, evidence value, validation depth, feasibility, timeline, dependency burden, and publication logic. Use references/route-comparison-dimensions.md.

Step 6 — Select the primary plan

Choose one route as the primary plan. Use references/primary-vs-secondary-plan-rules.md.

Step 7 — Assign the role of the non-primary routes

Decide whether each alternative route should be secondary, embedded, follow-up, deferred, or dropped.

Step 8 — Explain rejection or deprioritization logic

State why the non-primary routes are weaker in this case. Use references/rejection-reason-framework.md.

Step 9 — State dependencies and pivot conditions

Identify what assumptions or resource changes could alter the recommendation. Use references/dependency-and-pivot-rules.md.

Step 10 — Produce a downstream-ready recommendation

Give a main-plan recommendation that can directly feed downstream study framing or protocol design.


Mandatory Output Structure

Always output the following sections.

A. Core Question Interpretation

Interpret the real question and clarify what the project is actually trying to resolve.

B. Candidate Study Routes

List the plausible route families and identify which are strong candidates versus weak surface options.

C. Route-to-Question Fit

Explain how each serious candidate route aligns or misaligns with the actual question.

D. Early Route Elimination

State which route options should be excluded early and why.

E. Route Comparison Matrix

Provide a structured comparison across the most important decision dimensions.

Use a table when side-by-side comparison materially improves decision quality.

Name the single recommended main route.

G. Why This Route Should Lead

Explain why this route is the best primary plan for this specific question.

H. Why Other Routes Should Not Be Primary

State why the main alternatives are weaker, premature, dependency-heavy, or better suited as secondary paths.

I. Dependencies, Assumptions, and Pivot Triggers

Explain what could change the recommendation.

J. Downstream Routing

State the best next step after primary-plan selection.


Formatting Expectations

Use short, clean sections.

Use tables only when they materially improve comparison across candidate routes or decision dimensions.

Do not force tables when concise explanatory prose is more precise.

Keep the output decision-oriented:

  • what the real question is
  • what the serious route options are
  • which route should lead
  • why the other routes should not lead
  • what would change the recommendation

Hard Rules

  1. Always identify the real study question before recommending a primary route.
  2. Never compare route options without first removing superficially plausible but structurally weak candidates.
  3. Never treat complexity, novelty, or technical sophistication as a substitute for route fit.
  4. Always distinguish the primary plan from secondary, embedded, or follow-up routes.
  5. Never present all routes as equivalent when tradeoffs are real.
  6. Always explain why the chosen route should lead.
  7. Always explain why the rejected or deprioritized routes should not be the main plan.
  8. Do not confuse validation steps with the correct primary route.
  9. Do not recommend a mechanism-first route when the central need is still basic clinical association, unless the biological question truly leads.
  10. Do not recommend a cohort-led route when the real uncertainty is still upstream mechanistic or discovery-stage.
  11. When a hybrid staged plan is appropriate, clearly name which route leads and which route follows.
  12. Never fabricate references, PMIDs, DOIs, prior evidence precedent, validation status, route maturity, feasibility claims, or study findings.
  13. Never present vague field beliefs as literature-backed conclusions.
  14. If route feasibility, precedent, or validation assumptions are uncertain, label them explicitly as limited, assumption-dependent, or unverified.
  15. Treat the output as incomplete if it recommends a primary route without showing why the other routes are weaker.

What This Skill Should Not Do

This skill should not:

  • act like a full protocol generator
  • confuse brainstorming with route selection
  • recommend the most fashionable design by default
  • collapse all candidate routes into one vague hybrid without leadership logic
  • hide rejection reasons behind noncommittal language
  • invent evidence precedent to justify a preferred route

Quality Standard

A high-quality output should:

  • identify the real study question clearly
  • compare only serious candidate routes
  • show strong route-to-question matching logic
  • recommend one primary plan decisively
  • explain why alternatives are weaker in this case
  • name assumptions and pivot triggers honestly
  • remain downstream-ready for protocol framing
  • avoid fabricated literature or unsupported feasibility claims

Associated Skills

Upstream

  • clinical-question-clarifier
  • study-objective-refiner
  • aim-and-hypothesis-designer

Midstream

  • primary-plan-recommender
  • novelty-vs-feasibility-assessor

Downstream

  • medical-research-gap-to-study-planner
  • method-gap-detector
  • medical-research-algorithm-matcher

© 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/primary-plan-recommender of aipoch/medical-research-skills.

  • SKILL.md
  • eval_report_primary-plan-recommender_result.json
  • references/dependency-and-pivot-rules.md
  • references/literature-integrity-rules.md
  • references/output-section-guidance.md
  • references/plan-route-taxonomy.md
  • references/primary-vs-secondary-plan-rules.md
  • references/question-to-route-matching-rules.md
  • references/rejection-reason-framework.md
  • references/route-comparison-dimensions.md
  • references/workflow-step-template.md

Open the folder on GitHubat commit 686e09d

Compare with similar skills

Primary Plan Recommender next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Primary Plan Recommender compared with similar skills
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Primary Plan Recommender this skillaipoch/medical-research-skills2k—~3.6kAutomated safety check: PassMIT
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Hypothesis GenerationK-Dense-AI/claude-scientific-writer2.4k2 repos~3.9kAutomated safety check: PassMIT
Good QuestionRimagination/good-question3051 repos~4.3kAutomated safety check: PassMIT
Claim-Driven Experiment PlannerzjYao36/Auto-Research-Refine1287 repos~2.3kAutomated safety check: NotesNone

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Questions about Primary Plan Recommender

What does Primary Plan Recommender do?

Compares multiple study-route options for the same biomedical research question and recommends one primary plan, while explicitly explaining why alternative routes are secondary, premature, weaker…. Primary Plan Recommender is an agent skill from aipoch/medical-research-skills. Compares multiple study-route options for the same biomedical research question and recommends one primary plan, while explicitly explaining why alternative routes are secondary, premature, weaker, or dependency-heavy.

When should I use Primary Plan Recommender?

Primary Plan Recommender fits situations like: the user already has a reasonably defined question but is unsure which main study route should anchor the project; tasks that involve Hypothesis generation.

How do I install Primary Plan Recommender in Claude Code?

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

How do I install Primary Plan Recommender in Codex?

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

Can I use Primary Plan Recommender 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 primary-plan-recommender -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/primary-plan-recommender, .gemini/skills/primary-plan-recommender, .github/skills/primary-plan-recommender and .opencode/skills/primary-plan-recommender in your project.

What does Primary Plan Recommender need to run?

SKILL.md names no scripts, command-line tools or credentials: Primary Plan Recommender is instructions for the agent only.

Does Primary Plan Recommender 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 Primary Plan Recommender 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 Primary Plan Recommender use?

Primary Plan Recommender 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 Primary Plan Recommender use?

About 3.6k tokens (SKILL.md is roughly 14k 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 1.8k tokens, read only when the agent opens those files.

What are the alternatives to Primary Plan Recommender?

Skills that share tags, products or a category with Primary Plan Recommender: Hypothesis Generation (spacering-net/codeg, 3.8k stars), Nature Paper Card (Yuan1z0825/nature-skills, 46k stars), Hypothesis Generation (K-Dense-AI/claude-scientific-writer, 2.4k stars) and Good Question (Rimagination/good-question, 305 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Primary Plan Recommender?

aipoch (a GitHub organization) maintains it in aipoch/medical-research-skills, which has 1,974 GitHub stars. The repository holds 567 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.