Writing Material Engine
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Please install @user_3ef04463/qianqiong-data-analyst-pro according to https://skillhub.cn/install/skillhub.md.
About this skill
Problem Solved
When writing industry analysis, news, or business content, the usual issue is not finding numbers, but using numbers with unclear scope, vague sources, or unstable time windows. For example, “new-energy vehicle sales growth” may mix pure electric, plug-in hybrid, commercial vehicles, or global markets, while “industry sources” cannot be verified. This skill is aimed at writers who need data material that can be inserted into a draft and later audited.
How It Works
The core rule is the three-precision standard: exact scope, exact source, and exact timeliness. It binds each key number to source institution + statistical definition + publication date, and forms conclusions only when at least two independent sources align. If only one source is available, it marks the result as single-source and advises verification instead of making a firm claim. When the requested metric, geography, time range, or use case is unclear, it asks first rather than guessing.
Output can be switched among Format A article paragraph, Format B data lookup table, and Format C argument bullets. It is useful for adding ready-to-use prose, comparing metrics, or assembling evidence points. If data is missing, conflicting, or outdated, it explains the gap using QP error codes, such as QP-E303 data does not support the conclusion and QP-E304 timeliness expired.
Boundaries: it does not run statistical models, output Python scripts, or generate visualizations. It does not predict single-point growth values or provide investment advice. If external search is unavailable, it states the dependency failure instead of silently skipping it.
Use Cases
- Before drafting a new-energy vehicle analysis, turn sales, penetration, and retail metrics into a lookup table with sources and statistical definitions.
- While writing an article, combine data from multiple institutions into a citable paragraph and label scope differences plus publication dates.
- Before publishing, check whether each figure has at least two independent sources, and add a single-source warning when only one source exists.
- When building an argument, generate bullet points where every number includes the source institution, statistical scope, and timeliness.
Best For
- Journalists writing industry analysis: they need multi-source data turned into directly citable paragraphs.
- Business content editors: they need to verify sources, statistical scope, and freshness to avoid vague citations.
- Product managers writing market reports: they need metric tables with clear scope differences.
- Consulting analysts preparing materials: they need sourced argument points that can be audited later.
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