GovWriter-Pro

The Specific Problem It Solves

Government and enterprise internal writing—such as work summaries, briefing materials, and leadership speeches—often suffers from several core pain points: collaborative materials are scattered and repetitive, lacking a unified perspective; the article structure is disorganized, failing to meet the official writing norms of 'conclusion-first' and 'logical rigor'; and the final output may not align with the key concerns and hierarchical preferences of superiors. Traditional writing methods are time-consuming, error-prone, and susceptible to logical gaps or formatting mistakes.

How the Skill Works

GovWriter-Pro acts as a structured context generator. Its core capability is to transform messy materials into a high-quality writing framework for a host AI (like Claude or WorkBuddy) to execute. It does not directly write articles but outputs three key contexts:
- Original Text Deep Analysis Report: A structured Markdown summary that extracts the core theme, data asset list, achievement highlights, bottleneck issues, and module division suggestions.
- Restructuring/Crafting Instruction Set: Adhering to the Pyramid Principle (conclusion-first, top-down, grouped by category, logical progression) and the MECE Principle (mutually exclusive, collectively exhaustive), it provides specific instructions for deletion, modification, expansion, or supplementation.
- Official Document Format Specification: Fully embeds the GB/T 9704-2012 standard, covering page setup, fonts, line spacing, first-line indentation, and figure/table captions.

The workflow involves two main steps: First, the skill performs mode judgment based on user input (modification mode or creation mode) and enters ⏸️ Checkpoint 1 to confirm identified document type, audience level, and key parameters. Then, it executes corresponding steps (e.g., Step 1 analysis, Step 2 instruction generation) based on the mode, finally outputting structured context for the host AI to generate the complete briefing material autonomously. The Hierarchical Sensitivity Adjuster automatically adjusts content emphasis based on the audience's level (grassroots, middle, or senior management).

Applicable Boundaries and Considerations

The skill's effectiveness depends on the availability of a tool chain within the host AI environment, especially baidu-search for data searches and minimax-docx for final document generation. If tools are missing, alternative solutions must be followed without blocking the process.

User interaction is required at key nodes (e.g., mode confirmation). The generated material must pass a detailed Quality Check List for self-inspection, covering aspects like structural integrity, data accuracy, and format compliance (e.g., converting Markdown bold syntax, unifying Chinese quotation marks). This helps avoid common taboos in official writing, such as disconnect between headings and body text, inconsistent monetary units, or usage of uncertain words like 'possibly'.