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wangwen

Query MCP-backed resources to identify web-novel market trends and generate inspiration.json.

2|1|Updated Apr 18, 2026
Search Tags:#sql#data-analytics#market-research#inspiration#content-analysis#resource-templates#mcp-backed
One-click install
npx skills add https://github.com/littlewwwhite/AgentOS-TS --skill wangwen
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: wangwen
Source: https://github.com/littlewwwhite/AgentOS-TS/tree/main/.claude/skills/wangwen
Command: npx skills add https://github.com/littlewwwhite/AgentOS-TS --skill wangwen

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

本技能为漫剧创作提供数据驱动的灵感调研能力，通过 MCP-backed 查询将网文市场数据整理成结构化的 inspiration.json，帮助创作者在早期阶段基于数据做出创作决策。

Core Features & Use Cases

  • 数据驱动的灵感调研：将创作意图转化为可执行的 MCP 查询路径，输出 inspiration.json。
  • 对标与趋势分析：提供题材热度、对标作品、改编漏斗等数据维度的分析与对比。
  • 工作流自检与边界说明：严格遵守 inspiration-contract 的字段填充和自检清单，确保产物可下游消费。

Quick Start

Trigger the MCP-backed research workflow to generate inspiration.json from targeted web-novel datasets.

Frequently Asked Questions about wangwen

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I use web-novel data analytics to discover market trends for content adaptation?▼

Web-novel data analytics discovers market trends by querying MCP-backed datasets to extract topic popularity, benchmark works, and adaptation funnel signals into a structured inspiration.json file for data-driven creative decisions.

What is the best way to conduct a deep-dive analysis on specific novels or dramas for adaptation research?▼

The best way to deep-dive into novels or dramas is querying allowed MCP tables using query_sql, which validates the extracted trend signals and benchmark data against the inspiration contract to output a structured research file.

Can I use SQL to query web-novel market data for topic trend discovery?▼

Yes, you can use SQL to query web-novel market data by running query_sql against allowed MCP tables, reading resource schemas to identify topic trend signals and populate the structured inspiration.json output.

Does the inspiration research workflow require any specific dependencies or environment setup?▼

The inspiration research workflow requires no external dependencies, operating entirely through the MCP server to read resource schemas, run SQL queries, and validate the final structured output against the contract.

What limitations exist when querying MCP-backed datasets for web-novel content analysis?▼

The primary limitation is that SQL queries must run only against allowed MCP tables, and the final output must strictly pass the inspiration-contract self-check to ensure the generated inspiration.json is valid for downstream consumption.

How do I benchmark selected web-novels against adaptation funnel data for manga and drama creation?▼

You benchmark selected web-novels by reading MCP resource templates to query adaptation funnel metrics, validating the extracted benchmark data against the inspiration contract to produce a structured inspiration.json file.

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