An expert AI system for drafting, diagnosing, and finalizing professional Chinese project and grant proposals into submission-ready Word documents.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install zh-project-proposal-writing
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install zh-project-proposal-writing using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is zh-project-proposal-writing?
The zh-project-proposal-writing skill is a comprehensive deliverable production system designed for researchers and professionals tackling complex Chinese grant applications. It moves beyond simple writing assistance to offer a structured environment for generating high-stakes documents such as NSFC (National Natural Science Foundation of China), National Key R&D Programs, and various provincial or municipal talent projects. This skill ensures that every section—from the abstract and scientific rationale to the budget and technical roadmap—aligns with official guidelines and expert consensus.
By integrating official constraints with advanced logic matrices, this tool helps users navigate the rigorous requirements of academic and industrial funding bodies. It prioritizes factual accuracy and official guideline compliance over creative filler, providing a reliable framework for experts in universities, hospitals, and research institutes to secure funding through high-quality, structured Openclaw Skills workflows.
zh-project-proposal-writing Use Cases
- Drafting and revising NSFC (National Natural Science Foundation) grant applications.
- Structuring National Key R&D Program proposals and Shanghai Science and Technology Commission project declarations.
- Organizing talent-based project applications like Jieqing (Distinguished Young Scholars) and Yuqing (Excellent Young Scholars).
- Diagnosing existing drafts for logical gaps, scoring inconsistencies, or compliance risks.
- Generating final deliverable packages in Word format for institutional submission.
How zh-project-proposal-writing Works
- Constraint Matrix Establishment: The skill extracts requirements from current year guidelines, including word counts, budget rules, and mandatory attachments.
- Fact Ledger Creation: It organizes user-provided papers, patents, and data into categories of verified, anecdotal, or missing information.
- Mainline Compression: A single-sentence core logic is defined to ensure all chapters (abstract, goals, innovation) map back to a central scientific or technical problem.
- Storyline Development: It constructs a narrative arc from existing phenomena to new hypotheses and verifiable outcomes.
- Drafting & Mapping: Text is generated using professional academic Chinese, with internal cross-references to ensure consistency across the entire document.
- Red Team Review: A simulated expert review identifies potential weaknesses in feasibility, innovation, or foundation.
- Final Delivery: The system compiles the draft, logic matrices, and compliance checklists into a structured .docx file.
zh-project-proposal-writing Setup
This skill relies on a structured directory of reference materials. Ensure your environment has access to the following file structure:
# Standard directory structure for proposal writing
./references/deliverable_proposal_workflow.md
./references/funder_rules.md
./references/expert_wisdom_synthesis.md
./examples/proposal_skill_examples.md
To initiate a deliverable workflow, provide the specific grant type and any official guidelines for the current year to establish the Openclaw Skills constraint matrix.
zh-project-proposal-writing Data Schema & Taxonomy
The skill manages information through a hierarchical evidence and mapping system:
| Data Component | Description |
|---|---|
| Constraint Matrix | Official rules, scoring criteria, and administrative requirements. |
| Fact Ledger | Categorized inventory of evidence (Papers, Patents, Platforms). |
| Logic Matrix | Mapping of scientific questions to methods, innovations, and outcomes. |
| Output Package | Final .docx including main text, risk assessments, and verification checklists. |
zh-project-proposal-writing Advanced Features
- Expert Wisdom Synthesis: Translates consensus from top-tier reviewers into actionable writing prompts without relying on generic templates.
- Mode Switching: Supports Rapid Diagnosis Mode for quick audits, Chapter Writing Mode for deep dives, and Deliverable Mode for full document assembly.
- Multi-Source Conflict Resolution: Prioritizes information based on hierarchy, favoring official 2026 guidelines over historical data.
- Compliance Quality Gates: Hard-coded checks for ethics statements, AI usage declarations, and budgetary alignment.
SKILL.md
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