super-analyst

Transform fragmented information into structured insights using 12 analysis frameworks.

1|1|Updated Mar 25, 2026
One-click install
npx skills add https://github.com/penghang1223/niannian-workspace --skill super-analyst
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: super-analyst
Source: https://github.com/penghang1223/niannian-workspace/tree/main/skills/super-analyst
Command: npx skills add https://github.com/penghang1223/niannian-workspace --skill super-analyst

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

咨询级智能分析系统能够将碎片化信息通过结构化思考转化为可执行洞察,帮助用户快速形成清晰的结论与行动方案。

Core Features & Use Cases

  • 包含12大分析框架(诊断/战略/创新/决策/系统/理解六大类),支持自适应复杂度评估和多框架组合。
  • 7步核心流程覆盖问题理解、复杂度评估、情报搜集、框架选择、结构化分析、交叉验证与输出报告,确保分析的系统性与可重复性。
  • 典型用例包括深度行业/市场/竞品分析、战略规划与决策支持、复杂问题根因诊断与创新方案设计等场景,能产出可执行洞察与行动建议。

Quick Start

在给定主题上执行深度分析,使用7步流程和12大分析框架库生成结构化、可执行的洞察报告。

Frequently Asked Questions about super-analyst

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

FAQPage Schema
How do I turn fragmented information into structured insights for consulting and strategy?▼

To turn fragmented information into structured insights, use a disciplined 7-step workflow that covers problem understanding, complexity assessment, intelligence gathering, and framework selection. This process generates standardized reports with cross-validated, executable conclusions.

What analysis frameworks are available for scenario planning and root-cause investigation?▼

Scenario planning and root-cause investigation utilize a library of 12 analysis frameworks spanning diagnostic, strategy, innovation, decision, system, and understanding categories. These frameworks support adaptive complexity evaluation and multi-framework composition for deep analysis.

Can I use multi-framework composition for complex root-cause diagnosis?▼

Yes, multi-framework composition is fully supported for complex root-cause diagnosis. The system assesses adaptive complexity across 12 distinct analysis frameworks to generate cross-validated conclusions and standardized reports.

What is the best way to generate standardized reports from unstructured data?▼

Generating standardized reports from unstructured data requires executing a 7-step core process that includes intelligence gathering, structured analysis, and cross-validation. This workflow produces actionable insights and clear action recommendations.

Does this analysis approach support deep industry and competitor analysis?▼

Yes, this approach explicitly supports deep industry, market, and competitor analysis. By applying structured thinking and multi-framework composition, it transforms fragmented inputs into strategic planning and decision support outputs.

When should I not use a 7-step structured analysis workflow?▼

A 7-step structured analysis workflow is not suited for simple queries requiring immediate, single-step answers. It is designed for complex scenarios needing deep root-cause diagnosis, strategic planning, and cross-validated conclusions.