Light Research Plan
Light0305/Light-skills
Light 科研主线第 5 步·研究方案与实验设计：把 idea-critique 放行的 idea 与 data feasibility 拆成能真执行、能写进论文、 能复现的 question/estimand、实验矩阵与预注册包。何时用：idea 已通过审查要落地 / 要设计实验·消融·对比·敏感性· 泛化·鲁棒性 / 写研究方案 PROJECTPLAN / 锁 primary…
A skill your agent uses when drafting a grant or challenge proposal for a radiology or medical AI project, including a Korean government industry-academia plan.
Install Grant Builder
$ npx skills add Aperivue/medsci-skills --skill grant-builder -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Aperivue/medsci-skills grant-builder --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Aperivue/medsci-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/grant-builder .claude/skills/grant-builder && rm -rf skills-srcUse ~/.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/
Install the "grant-builder" agent skill from https://github.com/Aperivue/medsci-skills/tree/main/skills/grant-builder into .claude/skills/grant-builder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "grant-builder", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Aperivue/medsci-skills/tree/main/skills/grant-builderType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Aperivue/medsci-skills --skill grant-builder -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Aperivue/medsci-skills grant-builder --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Aperivue/medsci-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/grant-builder .agents/skills/grant-builder && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "grant-builder" agent skill from https://github.com/Aperivue/medsci-skills/tree/main/skills/grant-builder into .agents/skills/grant-builder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "grant-builder", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Aperivue/medsci-skills --skill grant-builder -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Aperivue/medsci-skills grant-builder --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Aperivue/medsci-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/grant-builder .cursor/skills/grant-builder && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "grant-builder" agent skill from https://github.com/Aperivue/medsci-skills/tree/main/skills/grant-builder into .cursor/skills/grant-builder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "grant-builder", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Aperivue/medsci-skills.git --path skills/grant-builder--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Aperivue/medsci-skills --skill grant-builder -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Aperivue/medsci-skills grant-builder --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Aperivue/medsci-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/grant-builder .gemini/skills/grant-builder && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "grant-builder" agent skill from https://github.com/Aperivue/medsci-skills/tree/main/skills/grant-builder into .gemini/skills/grant-builder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "grant-builder", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Aperivue/medsci-skills grant-builderInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Aperivue/medsci-skills --skill grant-builder -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Aperivue/medsci-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/grant-builder .github/skills/grant-builder && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "grant-builder" agent skill from https://github.com/Aperivue/medsci-skills/tree/main/skills/grant-builder into .github/skills/grant-builder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "grant-builder", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Aperivue/medsci-skills --skill grant-builder -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Aperivue/medsci-skills grant-builder --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Aperivue/medsci-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/grant-builder .opencode/skills/grant-builder && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "grant-builder" agent skill from https://github.com/Aperivue/medsci-skills/tree/main/skills/grant-builder into .opencode/skills/grant-builder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "grant-builder", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
grant-builder- GitHub stars
- 329
- Token cost
- ~1.5k tokens
- SKILL.md length
- 562 words
- Files
- 2
- Skills in repo
- 54
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when drafting a grant or challenge proposal for a radiology or medical AI project, including a Korean government industry-academia plan.
- Works in 5 steps: Decode the funding call → Frame the problem → Build the proposal spine → …
- Drafting a grant
- SKILL.md covers Korean Government Grant Mode, Workflow, Default Structure and Before Finalizing
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Grant Builder is an agent skill from Aperivue/medsci-skills. Use when drafting a grant or challenge proposal for a radiology or medical AI project, including a Korean government industry-academia plan. Structures significance, innovation, approach, aims, milestones and consortium roles, keeping claims evidence-based and executable.
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `skill.yml`).
It sits in Research & Science, covering Project management. The repository describes itself as: Agent Skills for medical research — literature search, reporting-guideline & citation checks, statistics, publication figures, submission. Works with Claude Code, Codex, Cursor &… The licence is MIT.
When your agent uses it
- Drafting a grant
- Challenge proposal for a radiology
- Medical AI project
- Including a Korean government industry-academia plan
Example prompts
- “/grant-builder”
Workflow steps
5 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 3b14ae2. 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
Grant Builder loads about 1.5k tokens when it runs. Until then it costs about 72 tokens; SKILL.md has 562 words of instructions outside code blocks.
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 Aperivue/medsci-skills at commit 3b14ae2, republished under its MIT licence (© Aperivue). 562 words, ~1,472 tokens.
Download SKILL.mdSave it as
.claude/skills/grant-builder/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- grant-builder
- description
- Use when drafting a grant or challenge proposal for a radiology or medical AI project, including a Korean government industry-academia plan. Structures significance, innovation, approach, aims, milestones and consortium roles, keeping claims evidence-based and executable.
- metadata.triggers
- grant, proposal, aims page, grant proposal, significance, innovation, approach, milestones, 산학과제, 산학협력, 과제계획서, 연구계획서, 연구비 신청, 첨부3
Grant-Builder Skill
Write proposal prose in the language the target call requires. Produce whichever parts the request needs: concept summary, Significance, Innovation, Approach, specific aims, work packages, milestone table, role split by institution, evaluation framework, reviewer-risk memo.
Korean Government Grant Mode
When the user requests a Korean industry-academia grant (산학과제) or research plan (연구계획서) — e.g., MOHW, MOTIE, MSS or regional industry-academia programs — apply the adaptations below. Korean program terms are preserved in parentheses because they are the literal form used on the funding agency's template.
Document Structure (three-attachment format)
| Attachment | Contents |
|---|---|
| 1 (첨부1, 기본정보) | project title, participating institutions, investigator CVs, publication / patent record |
| 2 (첨부2, 매칭확인서) | per-institution cost-share confirmation, typically finalized after a kickoff meeting between the institutions |
| 3 (첨부3, 연구계획서) | the 10-page research plan — structure below |
Attachment 3 Standard Structure
1. Significance & Aims (약 2p)
- clinical problem with quantitative framing
- domestic + international trends (3–5 year literature / guideline window)
- differentiation of the proposed work
2. Research Content & Methods (약 4p)
- staged roadmap (Phase 1 – N with time ranges)
- pipeline schematic (mandatory when an AI pipeline is in scope)
- per-subproject institution and personnel assignment
3. Team Capability (약 1p)
- expertise + representative record (SCI papers, patents) per investigator
- cross-institution synergy (hospital = data / clinical; university = algorithm)
4. Expected Outcomes & Utilization (약 2p)
- quantitative targets: SCI papers, patents
- qualitative targets: clinical impact, standardization contribution
- linkage to follow-on larger grants (positioning as a seed)
5. Budget Plan (약 1p)
- RA salaries, computing equipment, consumables, academic activities, indirect costsSmall-Scale Grants (< KRW 30 million)
- Write for a non-specialist reviewer; assume the evaluator is not in your subfield.
- Emphasize feasibility over technical novelty.
- Prioritize length / format compliance; exceeding the template incurs scoring penalties.
- Include preliminary data or pilot results whenever available.
- Keep quantitative targets conservative — undershooting a committed target is punished more than overdelivering on a modest one.
Workflow
Phase 1: Decode the funding call
Extract funding body, call theme, eligibility constraints, deliverable expectations, timeline and evaluation criteria. If no call text is available, infer a generic academic-medical AI proposal structure and label the assumptions.
Phase 2: Frame the problem
Define the clinical pain point, the current workflow limitation, why existing AI or standard care is insufficient, and who benefits if the project succeeds.
Gate: Present the problem framing (clinical pain point, gap, proposed solution) to the user. Confirm before building proposal sections — a misframed problem produces an unfundable proposal.
Phase 3: Build the proposal spine
Always articulate: problem, gap, proposed solution, why this team can execute it, measurable outputs.
Show full SKILL.md (261 more words)Show less
Phase 4: Convert to proposal sections
- Significance must answer why this matters clinically, why now, and why the proposed solution is worth funding.
- Innovation: what is genuinely different, why the integration is new, why the novelty is useful and not just technical.
- Approach: dataset and participating sites, model or workflow components, validation plan, benchmark/comparator, failure analysis, risk mitigation.
Route to search-lit to support significance and prior-art positioning; cite a reference only with
a /search-lit-confirmed DOI or PMID, otherwise mark it [UNVERIFIED - NEEDS MANUAL CHECK]. Mark
any unconfirmed clinical definition, diagnostic criterion or guideline recommendation [VERIFY] and
ask the user. Route to design-study if the evaluation framework is weak, and to write-paper only
when the proposal requires publication-style narrative sections.
Phase 5: Execution plan
Generate milestones by quarter or year, institution-level responsibilities, dependencies and handoffs, and required infrastructure. Do not fabricate budget details, and do not promise datasets, partners or infrastructure the user has not evidenced.
Default Structure
## Proposal Summary
Title: ...
Goal: ...
Clinical problem: ...
### Significance
...
### Innovation
...
### Approach
Aim 1. ...
Aim 2. ...
Aim 3. ...
### Milestones
- ...
### Consortium roles
- ...
### Major risks and mitigations
- ...Before Finalizing
Check, and flag any failure to the user:
- Is the clinical need explicit and credible?
- Is the novelty more than "we will use AI", with a clinical consequence?
- Are the aims linked to measurable outputs with a concrete benchmark or success criterion?
- Is the validation plan convincing, including external validation or a deployment path?
- Is the multi-site structure realistic, with each institution in a distinct, functionally integrated role?
- Are compute, annotation, and regulatory needs acknowledged?
- Are there too many aims for the timeline?
- Does it read as a funded program rather than a paper?
© Aperivue, 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 1 other file in skills/grant-builder of Aperivue/medsci-skills.
- SKILL.md
- skill.yml
Open the folder on GitHubat commit 3b14ae2
Compare with similar skills
Grant Builder 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Grant Builder this skillAperivue/medsci-skills | 329 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Light Research PlanLight0305/Light-skills | 641 | — | ~5.3k | Automated safety check: Pass | MIT | |
| HTML Ppt Zhangzara Monochromenexu-io/open-design | 100k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Research Grantsaipoch/medical-research-skills | 2k | — | ~2.2k | Automated safety check: Pass | MIT | |
| Grant Writing Guidewentorai/research-plugins | 298 | 1 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Weather Impact Analysisdatadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction | 344 | 1 repos | ~6.6k | Automated safety check: Pass | MIT |
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Post To Discussion
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Share your completed meta-analysis project to the htlin222/meta-pipe GitHub Discussions board.
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Related
Questions about Grant Builder
What does Grant Builder do?
A skill your agent uses when drafting a grant or challenge proposal for a radiology or medical AI project, including a Korean government industry-academia plan. Grant Builder is an agent skill from Aperivue/medsci-skills. Use when drafting a grant or challenge proposal for a radiology or medical AI project, including a Korean government industry-academia plan.
When should I use Grant Builder?
Grant Builder fits situations like: drafting a grant; challenge proposal for a radiology; medical AI project; including a Korean government industry-academia plan.
How do I install Grant Builder in Claude Code?
Run `npx skills add Aperivue/medsci-skills --skill grant-builder -a claude-code`. Or copy the skill folder (skills/grant-builder in Aperivue/medsci-skills) into .claude/skills/grant-builder in your project. Claude Code loads it when a task matches its description.
How do I install Grant Builder in Codex?
Run `npx skills add Aperivue/medsci-skills --skill grant-builder -a codex`. Or copy the skill folder (skills/grant-builder in Aperivue/medsci-skills) into .agents/skills/grant-builder in your project. Codex loads it when a task matches its description.
Can I use Grant Builder 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 Aperivue/medsci-skills --skill grant-builder -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/grant-builder, .gemini/skills/grant-builder, .github/skills/grant-builder and .opencode/skills/grant-builder in your project.
What does Grant Builder need to run?
SKILL.md names no scripts, command-line tools or credentials: Grant Builder is instructions for the agent only.
Does Grant Builder 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 Grant Builder 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 Grant Builder use?
Grant Builder is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Grant Builder use?
About 1.5k tokens (SKILL.md is roughly 5.9k 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 Grant Builder?
Skills that share tags, products or a category with Grant Builder: Light Research Plan (Light0305/Light-skills, 641 stars), HTML Ppt Zhangzara Monochrome (nexu-io/open-design, 100k stars), Research Grants (aipoch/medical-research-skills, 2k stars) and Grant Writing Guide (wentorai/research-plugins, 298 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Grant Builder?
Aperivue (a GitHub organization) maintains it in Aperivue/medsci-skills, which has 329 GitHub stars. The repository holds 54 skills in this directory. The repository was last updated on October 5, 2026.
Source: Aperivue/medsci-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.