Agent skill

Nsfc Grant Writer

by aipoch in aipoch/medical-research-skills

Generate a complete NSFC (National Natural Science Foundation of China) General Program grant application in Chinese, following the 2026 official template.

MITAuto-check passedResearch & Science

Install Nsfc Grant Writer

skills CLI
$ npx skills add aipoch/medical-research-skills --skill nsfc-grant-writer -a claude-code

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

GitHub CLI
$ gh skill install aipoch/medical-research-skills nsfc-grant-writer --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/Academic Writing/nsfc-grant-writer' .claude/skills/nsfc-grant-writer && 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
nsfc-grant-writer
GitHub stars
1.9k
Token cost
~1.5k tokens
SKILL.md length
637 words
Files
7 (incl. scripts, references)
Skills in repo
578
Repo updated
First seen
Licence
MIT

At a glance

Generate a complete NSFC (National Natural Science Foundation of China) General Program grant application in Chinese, following the 2026 official template.

  • Works in 4 steps: Parse the Hypothesis → PubMed Literature Search → Generate the Full Document → …
  • The user provides a scientific hypothesis and wants to generate a full grant application document
  • SKILL.md covers Workflow, Step 1: Parse the Hypothesis, Step 2: PubMed Literature Search and Step 3: Generate the Full…, plus 4 more sections
  • Runs Python scripts from its folder; calls python and pip; reaches eutils.ncbi.nlm.nih.gov

What it does

Nsfc Grant Writer is an agent skill from aipoch/medical-research-skills. Generate a complete NSFC (National Natural Science Foundation of China) General Program grant application in Chinese, following the 2026 official template. Use when the user provides a scientific hypothesis and wants to generate a full grant application document, including abs...

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts and reference files (for example `POLISH_CHANGELOG.md`, `eval_report_nsfc-grant-writer_result.json` and `references/pubmed-guide.md`).

It sits in Research & Science. It works with PubMed. 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 provides a scientific hypothesis and wants to generate a full grant application document
  • Including abs..

Example prompts

  • “/nsfc-grant-writer”

Requirements

  • Python 3

Workflow steps

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

  1. Parse the Hypothesis
  2. PubMed Literature Search
  3. Generate the Full Document
  4. Create Output Folder and Export

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

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python
    • pip

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

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • eutils.ncbi.nlm.nih.gov

    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

Nsfc Grant Writer loads about 1.5k tokens when it runs, and up to ~6k if it reads all its reference files. Until then it costs about 75 tokens; SKILL.md has 637 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~75
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6k

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); the scripts in this folder are not scanned.

SKILL.md

The full file from aipoch/medical-research-skills at commit 686e09d, republished under its MIT licence (© aipoch). 637 words, ~1,511 tokens.

Download SKILL.mdSave it as .claude/skills/nsfc-grant-writer/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.
name
nsfc-grant-writer
description
Generate a complete NSFC (National Natural Science Foundation of China) General Program grant application in Chinese, following the 2026 official template. Use when the user provides a scientific hypothesis and wants to generate a full grant application document, including abs...
license
MIT
author
AIPOCH

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

NSFC Grant Writer

Generate a complete NSFC General Program grant application from a scientific hypothesis and export it as a Word document.

Workflow

Step 1: Parse hypothesis → extract key terms
Step 2: PubMed search → retrieve real references
Step 3: Generate full Markdown document (all sections)
Step 4: Save Markdown → call generate_docx.py → output .docx

Step 1: Parse the Hypothesis

Extract from the hypothesis:

  • Disease/condition
  • Key molecules (proteins, genes, miRNAs, etc.)
  • Biological process or pathway
  • Proposed mechanism (e.g., promotes, inhibits, regulates via)

Also generate the project title (≤30 Chinese characters):

  • Format: Mechanism of {key molecules}/{axis}/{pathway} regulating {biological process} or similar
  • Must reflect the core molecules, mechanism, and disease from the hypothesis
  • Example: Mechanism of KDM5D/NEDD4/Cx43/ATP axis in astrocytes regulating microglial activation and inflammatory response in NP
  • This title is used as the # [Title] heading at the top of the document

Do NOT ask the user for additional information unless they have provided it. Proceed with only the hypothesis.

MANDATORY: All references must be retrieved via real PubMed API calls. Never fabricate references.

Read references/pubmed-guide.md for the full search protocol.

Quick reference:

  • Search: https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi?db=pubmed&term={QUERY}&retmax=10&sort=relevance&retmode=json
  • Fetch summaries: https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esummary.fcgi?db=pubmed&id={PMIDs}&retmode=json
  • Run 3-5 queries covering: disease epidemiology, key molecule expression, pathway/mechanism, therapeutic relevance
  • Select 15-25 total references; format in APA

Step 3: Generate the Full Document

Read references/writing-guide.md for detailed section-by-section requirements.

Generate the complete document as a single Markdown string following the structure in references/template.md.

Section generation rules:

SectionAction
AbstractGenerate Chinese + English abstract + keywords
Section I: Research RationaleGenerate full content: 5 numbered subsections with #### subheadings + hypothesis statement + research directions + reference list
Section II: Research ContentGenerate: 3-4 research modules + innovation points + 4-year plan
Section III-1.1: Preliminary Research FoundationGenerate: expand on preliminary data from Section I
Section III-1.2: Feasibility AnalysisGenerate: 4-dimension feasibility analysis
Section III (2-4) and Section IV (all subsections)Leave as headings only — do NOT generate content

Citation rules:

  • Inline: [N] or [N][M] (max 2 per location), placed before punctuation
  • Reference list at end of Section I only, APA format
  • Sections II and III reuse the same reference numbers if needed

Consistency rule: Every preliminary data item mentioned in Section I (Figure 1, Figure 2, Table 1, etc.) MUST appear again in Section III 1.1, expanded with methods and results detail.

Step 4: Create Output Folder and Export

Output folder naming

Extract 2-3 core keywords from the hypothesis (Chinese preferred, use underscores). Format: {keyword1}_{keyword2}_{YYYYMMDD_HHMMSS} Example: EGFR_LungCancer_20260527_143022

Create this folder in the current working directory (or user's specified path).

Show full SKILL.md (252 more words)Show less
Save Markdown

Save the full generated document as {folder_name}.md inside the output folder (same stem as the folder name).

Generate Word document

Run the script:

bash
python scripts/generate_docx.py {output_folder}/{folder_name}.md {output_folder}

This produces {output_folder}/{folder_name}.docx.

Dependency check

If python-docx is not installed, inform the user:

pip install python-docx

Then re-run the script.

Final output to user

After successful generation, report:

  • Output folder path
  • Files created: {folder_name}.md and {folder_name}.docx
  • Note: Sections requiring personal information (working conditions, ongoing projects, completed projects, Part IV) are left as headings for the applicant to complete
  • Note: The mechanism diagram placeholder in Section I requires replacement with an actual figure

Resources

  • references/template.md — 2026 official template structure
  • references/writing-guide.md — detailed writing requirements per section
  • references/pubmed-guide.md — PubMed API search protocol and reference formatting
  • scripts/generate_docx.py — Markdown to Word converter (requires python-docx)

Error Handling

  • If required inputs are missing, state exactly which fields are missing and request only the minimum additional information.
  • If the task goes outside the documented scope, stop instead of guessing or silently widening the assignment.
  • If execution fails, report the failure point, summarize what can still be completed safely, and provide a manual fallback.
  • Do not fabricate files, citations, data, search results, or execution outcomes.

Input Validation

This skill accepts requests that match the documented purpose of nsfc-grant-writer 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:

nsfc-grant-writer only handles its documented workflow. Please provide the missing required inputs or switch to a more suitable skill.

© 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 6 other files (scripts, references) in scientific-skills/Academic Writing/nsfc-grant-writer of aipoch/medical-research-skills.

  • SKILL.md
  • POLISH_CHANGELOG.md
  • eval_report_nsfc-grant-writer_result.json
  • references/pubmed-guide.md
  • references/template.md
  • references/writing-guide.md
  • scripts/generate_docx.py

Open the folder on GitHubat commit 686e09d

Compare with similar skills

Nsfc Grant Writer 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.

Nsfc Grant Writer compared with similar skills
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Nsfc Grant Writer this skillaipoch/medical-research-skills1.9k—~1.5kAutomated safety check: PassMIT
Systematic Review ScreenerImbad0202/academic-research-skills51k—~8.4kAutomated safety check: PassCustom licence
Literature Reviewneflibata-feng/MyArxiv-Agent12620 repos~5.9kAutomated safety check: NotesMIT
Citation ManagementK-Dense-AI/claude-scientific-writer2.4k2 repos~3.9kAutomated safety check: NotesMIT
Citation Managementneflibata-feng/MyArxiv-Agent12619 repos~8.1kAutomated safety check: NotesMIT
Paper Searchopenags/paper-search-mcp2.8k—~1.2kAutomated safety check: NotesMIT

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Works with

Questions about Nsfc Grant Writer

What does Nsfc Grant Writer do?

Generate a complete NSFC (National Natural Science Foundation of China) General Program grant application in Chinese, following the 2026 official template. Nsfc Grant Writer is an agent skill from aipoch/medical-research-skills. Generate a complete NSFC (National Natural Science Foundation of China) General Program grant application in Chinese, following the 2026 official template.

When should I use Nsfc Grant Writer?

Nsfc Grant Writer fits situations like: the user provides a scientific hypothesis and wants to generate a full grant application document; including abs..

How do I install Nsfc Grant Writer in Claude Code?

Run `npx skills add aipoch/medical-research-skills --skill nsfc-grant-writer -a claude-code`. Or copy the skill folder (scientific-skills/Academic Writing/nsfc-grant-writer in aipoch/medical-research-skills) into .claude/skills/nsfc-grant-writer in your project. Claude Code loads it when a task matches its description.

How do I install Nsfc Grant Writer in Codex?

Run `npx skills add aipoch/medical-research-skills --skill nsfc-grant-writer -a codex`. Or copy the skill folder (scientific-skills/Academic Writing/nsfc-grant-writer in aipoch/medical-research-skills) into .agents/skills/nsfc-grant-writer in your project. Codex loads it when a task matches its description.

Can I use Nsfc Grant Writer 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 nsfc-grant-writer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/nsfc-grant-writer, .gemini/skills/nsfc-grant-writer, .github/skills/nsfc-grant-writer and .opencode/skills/nsfc-grant-writer in your project.

What does Nsfc Grant Writer need to run?

Going by SKILL.md and its folder, Nsfc Grant Writer needs Python for the scripts in its folder and the command-line tools its instructions call (python and pip). Our summary lists: Python 3.

Does Nsfc Grant Writer access the network?

SKILL.md names 1 domain. In commands or code: eutils.ncbi.nlm.nih.gov; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Nsfc Grant Writer 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Nsfc Grant Writer use?

Nsfc Grant Writer 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 Nsfc Grant Writer use?

About 1.5k tokens (SKILL.md is roughly 6k 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 Nsfc Grant Writer?

Skills that share tags, products or a category with Nsfc Grant Writer: Systematic Review Screener (Imbad0202/academic-research-skills, 51k stars), Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars), Citation Management (K-Dense-AI/claude-scientific-writer, 2.4k stars) and Citation Management (neflibata-feng/MyArxiv-Agent, 126 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Nsfc Grant Writer?

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.