Digital Government Planning Engine
Digital Government Planning Engine
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Description
A writing system that combines national strategy, technology trends, and local practices to automatically generate high-quality digital government planning proposals. Name: Tang Peng.
Related Skills
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Digital Gov Research Engine
A critical and constructive deep research-style writing system for digital government and smart cities. The core methodology is: use cases to pry open problems, use institutions to explain problems, use technology as the object of critique, and output counterintuitive conclusions. Name: Tang Peng
ResearchResearch Report Assistant v5.0
A full-process report writing assistant designed specifically for government and enterprise horizontal project research reports. This 5th generation upgraded product can generate long reports over 30,000 words. It is equipped with the following core mechanisms: review of existing literature, mandatory context recall, revision of standardized text and logic, four rounds of bidirectional verification of article depth and completeness, and automatic generation of real references for key data, policies, and cases cited in the text with in-text annotations. Integrated with a plain academic style skill that removes AI traces, it completely eliminates AI writing traces and presents a high-level academic feel.
Cross-Sector Writing V7.0
A professional horizontal research report writing system with a modular architecture and a four-core collaboration mechanism. Core features include: 1500-character flexible truncation to prevent hallucinations, layered memory loading, global logic consistency audit, and zero-tolerance data authenticity verification. It supports checkpoint recovery, asset management, and reference tracking. Depends on external attachments: Academic Norms and Style Guide and Four-core Audit Execution Manual. Suitable for high-quality writing of extensive horizontal research project reports.
Information
- Version
- v3
- Last updated
- Runtime credits
- Usage-based
- Models
- Auto
