nsfc-research-foundation-writer▌
huangwb8/chineseresearchlatex · updated Apr 8, 2026
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见:references/dod_checklist.md
NSFC(三)研究基础编排写作器
目标输出(契约)
- 写入落点(2 个文件):
extraTex/3.1.研究基础.tex(包含“研究风险的应对措施”)extraTex/3.2.工作条件.tex
- 禁止改动:
main.tex、extraTex/@config.tex、任何.cls/.sty - 核心目标:用“证据链 + 条件对位 + 风险预案”回答评审的三个问题:你做过吗?你做得成吗?出问题你怎么兜底?
参数与输出模式(建议显式提供)
project_root:标书项目根目录(如projects/NSFC_Young)output_mode(默认apply):preview:只输出两段可复制的 LaTeX 正文草稿(并标注应写入的目标文件路径),不写入文件apply:仅写入两份目标文件(见“目标输出”),不触碰其他文件
必需输入(最小信息表)
- 若用户未提供,请先收集/补全:references/info_form.md
写入安全约束(必须遵守)
- 仅编辑两份
extraTex/3.*.tex文件;不得修改main.tex、extraTex/@config.tex、任何.cls/.sty - 目标文件若已包含标题命令(如
\\subsection{...}/\\subsubsection{...}),只替换正文内容,不改标题与结构层级 - 信息不全时先提问补齐;不得捏造论文题目/期刊/专利号/样本量/指标等“看起来像真的”细节
工作流(按顺序执行)
- 定位项目与目标文件:
- 验证
project_root是否存在,不存在时报错并提示用户指定正确路径 - 检查
extraTex/目录是否存在,不存在时提示用户先初始化/拷贝模板项目;必要时可在用户确认后创建 - 确认
project_root和output_mode(默认为apply)preview模式:只生成内容预览,不写入文件(适合调试)apply模式:将生成的内容写入extraTex/3.1.研究基础.tex和extraTex/3.2.工作条件.tex
- 仅编辑这两个文件,禁止修改
main.tex、extraTex/@config.tex、任何.cls/.sty
- 验证
- 生成
3.1 研究基础(证据链优先):- 研究积累:围绕
2.1的关键任务,列出“做过什么/掌握什么/已有平台什么”。 - 阶段性成果:只写可核验内容(论文/专利/数据/原型/预实验现象);不确定的细节用占位符要求用户补齐。
- 可行性四维:理论/技术/团队/条件各给 1–3 个支撑点,并与研究内容逐条对齐。
- 研究积累:围绕
- 在
3.1中显式写“研究风险的应对措施”:- 至少 3 条风险(技术/进度/资源各至少 1 条)
- 每条:风险描述 → 早期信号(触发阈值/现象)→ 预案/替代路线(含降级目标与可交付)
- 生成
3.2 工作条件(条件对位研究内容):- 已具备条件:逐条列出,格式建议:
- 平台:XXX 平台(已具备 / 可访问)
- 数据:XXX 数据集(已获取 / 可公开获取)
- 样本:XXX 医院/机构(已签署合作协议 / 伦理审批中)
- 算力:XXX 服务器 / GPU(已配置 / 共享使用)
- 团队分工:成员 A 负责 XX,成员 B 负责 YY
- 合规路径:伦理审批(XXX 委员会,周期 X 个月)
- 尚缺条件与解决途径:逐条列出,格式建议:
- 缺少条件:XXX(影响:YYY)
- 解决途径:采购 / 合作 / 替代数据源 / 实验降级方案
- 时间表与责任人:如用户提供,应写入;如未提供,用占位符标记
- 已具备条件:逐条列出,格式建议:
- 一致性校验:
- 校验 1:检查
3.2 工作条件是否能逐条支撑2.1的关键任务- 方法:列出
2.1的每个关键任务,确认3.2中有对应的条件支撑 - 示例:
- 任务 1:XXX 实验 → 条件:XXX 平台、XXX 样本
- 任务 2:YYY 算法 → 条件:YYY 算力、ZZZ 数据
- 方法:列出
- 校验 2:检查风险预案是否与年度计划可兼容
- 方法:列出
2.3的每年里程碑,确认风险预案有对应的降级方案 - 示例:
- 第一年:样本获取 → 风险:样本入组慢 → 预案:有替代数据源与降级验证方案
- 方法:列出
- 校验失败时的处理:
- 如果发现不一致,标记为
[需补充:XXX]并提示用户 - 如果用户未提供
2.1或2.3,跳过对应校验并提示用户
- 如果发现不一致,标记为
- 校验 1:检查
验收标准(Definition of Done)
质量契约验证(来自 config.yaml)
- 研究基础必须覆盖:
- 与本项目相关的研究积累(证据链)
- 已取得的阶段性成果(可核验)
- 可行性要点(理论/技术/团队/条件)
- 研究风险与应对措施(显式写出)
- 工作条件必须覆盖:
- 已具备条件(平台/数据/样本/算力/团队/合规)
- 尚缺条件与解决途径(时间/预算/合作/采购/替代方案)
详细检查清单
可选脚本自检(只读)
- 仅校验 skill 自身结构一致性:
python3 skills/nsfc-research-foundation-writer/scripts/validate_skill.py - 同时检查某个项目的输出文件(存在性 + 轻量内容启发式):
python3 skills/nsfc-research-foundation-writer/scripts/run_checks.py --project-root <你的project_root>
常见问题与边缘情况
Q1: 项目目录中没有 extraTex/ 目录怎么办?
A: 建议先确认 project_root 指向正确的标书项目根目录;若确实缺少 extraTex/,请手动创建:
mkdir -p "<你的project_root>/extraTex"
Q2: 我还没有写 2.1 研究内容,可以直接写 3.1 研究基础 吗?
A: 不建议。3.2 工作条件 需要与 2.1 的关键任务对齐。建议先使用 nsfc-research-content-writer 完成 2.1。
Q3: 信息表中的某些内容我不方便公开怎么办?
A: 可以提供"可核验线索"而非完整内容。例如:
- ❌ "我们在 Nature 上发表了论文 XXX"
- ✅ "我们发表过相关论文(可提供 DOI/题录/接收函编号等可核验线索)"
Q4: 风险应对必须写 3 条吗?
A: 是的,至少 3 条(技术/进度/资源各至少 1 条)。即便你认为风险较低,也建议按三类各写 1 条“低风险 + 监测信号 + 预案”,避免评审认为你没有兜底意识。
Q5: 我的信息表内容很少,能生成完整的研究基础吗?
A: 可以。AI 会根据你提供的信息生成内容,并在不确定的地方使用占位符(如 [请补充:XXX]),请你后续补全。
变更记录
- 本技能的变更历史记录在本目录的
CHANGELOG.md,并同步到根级CHANGELOG.md;SKILL.md仅维护“AI 执行规范”。
How to use nsfc-research-foundation-writer on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add nsfc-research-foundation-writer
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches nsfc-research-foundation-writer from GitHub repository huangwb8/chineseresearchlatex and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate nsfc-research-foundation-writer. Access the skill through slash commands (e.g., /nsfc-research-foundation-writer) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★45 reviews- ★★★★★Charlotte Rahman· Dec 28, 2024
nsfc-research-foundation-writer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Ganesh Mohane· Dec 8, 2024
Useful defaults in nsfc-research-foundation-writer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Sakura Rao· Dec 8, 2024
Keeps context tight: nsfc-research-foundation-writer is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Charlotte Abbas· Dec 4, 2024
nsfc-research-foundation-writer reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Rahul Santra· Nov 27, 2024
nsfc-research-foundation-writer has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Kabir Liu· Nov 27, 2024
Registry listing for nsfc-research-foundation-writer matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Hiroshi Verma· Nov 23, 2024
We added nsfc-research-foundation-writer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Benjamin Abebe· Nov 19, 2024
nsfc-research-foundation-writer reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Pratham Ware· Oct 18, 2024
Solid pick for teams standardizing on skills: nsfc-research-foundation-writer is focused, and the summary matches what you get after install.
- ★★★★★Mei Khanna· Oct 18, 2024
nsfc-research-foundation-writer reduced setup friction for our internal harness; good balance of opinion and flexibility.
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