Agent skill

Research Proposal Generator

by aipoch in aipoch/medical-research-skills

Generates a comprehensive research proposal design based on input literature, including hypothesis, mechanism verification, and budget.

MITAuto-check passedResearch & Science

Install Research Proposal Generator

skills CLI
$ npx skills add aipoch/medical-research-skills --skill research-proposal-generator -a claude-code

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

GitHub CLI
$ gh skill install aipoch/medical-research-skills research-proposal-generator --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/'scientific-skills/Protocol Design/research-proposal-generator' .claude/skills/research-proposal-generator && 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
research-proposal-generator
GitHub stars
1.9k
Token cost
~2k tokens
SKILL.md length
957 words
Files
3
Skills in repo
578
Repo updated
First seen
Licence
MIT

At a glance

Generates a comprehensive research proposal design based on input literature, including hypothesis, mechanism verification, and budget.

  • Works in 5 steps: Analysis & Extraction → Outline Generation → Detailed Experimental Design → …
  • The user wants to design a research project from a paper
  • SKILL.md covers When to Use, Key Features, Dependencies and Example Usage, plus 11 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Research Proposal Generator is an agent skill from aipoch/medical-research-skills. Generates a comprehensive research proposal design based on input literature, including hypothesis, mechanism verification, and budget. Use when the user wants to design a research project from a paper.

Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `POLISH_CHANGELOG.md` and `eval_report_research-proposal-generator_result.json`).

It sits in Research & Science. 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 wants to design a research project from a paper

Example prompts

  • “Use the research-proposal-generator skill to generate a comprehensive research proposal design based on input literature, including hypothesis…”
  • “/research-proposal-generator”

Workflow steps

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

  1. Analysis & Extraction
  2. Outline Generation
  3. Detailed Experimental Design
  4. Final Compilation
  5. Output Assembly

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

Research Proposal Generator loads about 2k tokens when it runs. Until then it costs about 58 tokens; SKILL.md has 957 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~58
When it runs · the whole SKILL.md, loaded when a task matches
~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). 957 words, ~2,023 tokens.

Download SKILL.mdSave it as .claude/skills/research-proposal-generator/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
research-proposal-generator
description
Generates a comprehensive research proposal design based on input literature, including hypothesis, mechanism verification, and budget. Use when the user wants to design a research project from a paper.
license
MIT
author
AIPOCH

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

Research Proposal Generator

This skill analyzes a given literature text (paper) and generates a complete research proposal design, including scientific hypothesis, research outline, detailed experimental design, budget, and yearly plan.

When to Use

  • Use this skill when the request matches its documented task boundary.
  • Use it when the user can provide the required inputs and expects a structured deliverable.
  • Prefer this skill for repeatable, checklist-driven execution rather than open-ended brainstorming.

Key Features

  • Scope-focused workflow aligned to: Generates a comprehensive research proposal design based on input literature, including hypothesis, mechanism verification, and budget. Use when the user wants to design a research project from a paper.
  • Documentation-first workflow with no packaged script requirement.
  • Reference material available in references/ for task-specific guidance.
  • Structured execution path designed to keep outputs consistent and reviewable.

Dependencies

  • Python: 3.10+. Repository baseline for current packaged skills.
  • Third-party packages: not explicitly version-pinned in this skill package. Add pinned versions if this skill needs stricter environment control.

Example Usage

See ## Usage above for related details.

text
Skill directory: 20260316/scientific-skills/Protocol Design/research-proposal-generator
No packaged executable script was detected.
Use the documented workflow in SKILL.md together with the references/assets in this folder.

Example run plan:

  1. Read the skill instructions and collect the required inputs.
  2. Follow the documented workflow exactly.
  3. Use packaged references/assets from this folder when the task needs templates or rules.
  4. Return a structured result tied to the requested deliverable.

Implementation Details

  • Execution model: validate the request, choose the packaged workflow, and produce a bounded deliverable.
  • Input controls: confirm the source files, scope limits, output format, and acceptance criteria before running any script.
  • Primary implementation surface: instruction-only workflow in SKILL.md.
  • Reference guidance: references/ contains supporting rules, prompts, or checklists.
  • Parameters to clarify first: input path, output path, scope filters, thresholds, and any domain-specific constraints.
  • Output discipline: keep results reproducible, identify assumptions explicitly, and avoid undocumented side effects.

Usage

Input: The text content of a scientific paper.

Output: A structured research proposal in Markdown format.

Procedure

Please follow these steps to generate the proposal. Refer to prompts.md for detailed prompts for each step.

Step 1: Analysis & Extraction
  1. Extract Hypothesis: Analyze the input text to extract the scientific hypothesis and cell phenotype.
  2. Extract Key Info: Extract molecular mechanisms, signaling pathways, and regulatory relationships. Identify the "Start Variable" (first gene in results).
  3. Extract Clinical Info: Extract clinical questions and their relation to the hypothesis.
Step 2: Outline Generation
  1. Generate Outline: Based on the Hypothesis, Key Info, and Clinical Info, generate a research proposal outline (Section 2. Research Plan).
    • Constraint: The outline should start from bioinformatic screening to mechanism verification.
Step 3: Detailed Experimental Design
  1. Identify Molecules: Scan the outline to identify key genes/molecules.
  2. Design Experiments: For each section of the outline, design detailed experiments.
    • Requirement: Include Model, Groups, Sample, Method, Index, Expected Results.
    • Rule: Each part usually studies relationship between two variables.
    • Rule: Animal experiments must start with modeling.
    • Reference: Use the "Design Experiments" prompt in references/prompts.md.
Step 4: Final Compilation
  1. Generate Overview: Write Section "1. Overview" (Disease introduction) based on the hypothesis.
  2. Generate Budget: Create a budget explanation (Section "3. Budget") for a 3-year plan (RMB).
  3. Generate Yearly Plan: Create a 3-year research schedule (Section "4. Yearly Plan").
Step 5: Output Assembly

Assemble the final report in the following order:

  1. 1. Overview
  2. 2. Research Plan (With detailed experiments inserted)
  3. 3. Budget
  4. 4. Yearly Plan

Note: This process simulates a multi-step expert workflow. Ensure consistency between the hypothesis and the designed experiments.

Show full SKILL.md (394 more words)Show less

When Not to Use

  • Do not use this skill when the required source data, identifiers, files, or credentials are missing.
  • Do not use this skill when the user asks for fabricated results, unsupported claims, or out-of-scope conclusions.
  • Do not use this skill when a simpler direct answer is more appropriate than the documented workflow.

Required Inputs

  • A clearly specified task goal aligned with the documented scope.
  • All required files, identifiers, parameters, or environment variables before execution.
  • Any domain constraints, formatting requirements, and expected output destination if applicable.
  1. Validate the request against the skill boundary and confirm all required inputs are present.
  2. Select the documented execution path and prefer the simplest supported command or procedure.
  3. Produce the expected output using the documented file format, schema, or narrative structure.
  4. Run a final validation pass for completeness, consistency, and safety before returning the result.

Output Contract

  • Return a structured deliverable that is directly usable without reformatting.
  • If a file is produced, prefer a deterministic output name such as research_proposal_generator_result.md unless the skill documentation defines a better convention.
  • Include a short validation summary describing what was checked, what assumptions were made, and any remaining limitations.

Validation and Safety Rules

  • Validate required inputs before execution and stop early when mandatory fields or files are missing.
  • Do not fabricate measurements, references, findings, or conclusions that are not supported by the provided source material.
  • Emit a clear warning when credentials, privacy constraints, safety boundaries, or unsupported requests affect the result.
  • Keep the output safe, reproducible, and within the documented scope at all times.

Failure Handling

  • If validation fails, explain the exact missing field, file, or parameter and show the minimum fix required.
  • If an external dependency or script fails, surface the command path, likely cause, and the next recovery step.
  • If partial output is returned, label it clearly and identify which checks could not be completed.

Input Validation

This skill accepts requests that match the documented purpose of research-proposal-generator and include enough context to complete the workflow safely.

Do not continue the workflow when the request is out of scope, missing a critical input, or would require unsupported assumptions. Instead respond:

research-proposal-generator only handles its documented workflow. Please provide the missing required inputs or switch to a more suitable skill.

Quick Validation

Run this minimal verification path before full execution when possible:

text
No local script validation step is required for this skill.

Expected output format:

text
Result file: research_proposal_generator_result.md
Validation summary: PASS/FAIL with brief notes
Assumptions: explicit list if any

© 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 2 other files in scientific-skills/Protocol Design/research-proposal-generator of aipoch/medical-research-skills.

  • SKILL.md
  • POLISH_CHANGELOG.md
  • eval_report_research-proposal-generator_result.json

Open the folder on GitHubat commit 686e09d

Compare with similar skills

Research Proposal Generator 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.

Research Proposal Generator compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Research Proposal Generator this skillaipoch/medical-research-skills1.9k—~2kAutomated safety check: PassMIT
Hypothesis Generationspacering-net/codeg3.9k14 repos~3.6kAutomated safety check: NotesMIT
GitHub Deep Researchbytedance/deer-flow84k4 repos~1.3kAutomated safety check: PassMIT
Nature Paper CardYuan1z0825/nature-skills47k2 repos~2.1kAutomated safety check: PassApache-2.0
Content Research Writerweapp-tailwindcss/weapp-tailwindcss1.9k25 repos~3.5kAutomated safety check: PassMIT
Last30daysmvanhorn/last30days-skill64k—~7.9kAutomated safety check: NotesMIT

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Questions about Research Proposal Generator

What does Research Proposal Generator do?

Generates a comprehensive research proposal design based on input literature, including hypothesis, mechanism verification, and budget. Research Proposal Generator is an agent skill from aipoch/medical-research-skills. Generates a comprehensive research proposal design based on input literature, including hypothesis, mechanism verification, and budget.

When should I use Research Proposal Generator?

Research Proposal Generator fits situations like: the user wants to design a research project from a paper.

How do I install Research Proposal Generator in Claude Code?

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

How do I install Research Proposal Generator in Codex?

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

Can I use Research Proposal Generator 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 research-proposal-generator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/research-proposal-generator, .gemini/skills/research-proposal-generator, .github/skills/research-proposal-generator and .opencode/skills/research-proposal-generator in your project.

What does Research Proposal Generator need to run?

SKILL.md names no scripts, command-line tools or credentials: Research Proposal Generator is instructions for the agent only.

Does Research Proposal Generator 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 Research Proposal Generator 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 Research Proposal Generator use?

Research Proposal Generator 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 Research Proposal Generator use?

About 2k tokens (SKILL.md is roughly 8.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Research Proposal Generator?

Skills that share tags, products or a category with Research Proposal Generator: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Research Proposal Generator?

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.