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AI EngineeringPython

Industry Concept Analysis

by byteseek

Industry Concept Analysis is an AI Engineering skill for Claude Code, published by byteseek in Mira.

262 stars45 forkson byteseek/MiraAdded 2026/09/02+1% in starsRepository updated 2026/07/05
agent-workflowai-agentsclaude-codecodexdecision-logearnings-analysisequity-researchevidence-logfinancial-researchinvestment-researchmacro-analysismarket-researchportfolio-managementresearch-workflowsource-trackingthesis-tracking
Install in seconds
Install Industry Concept Analysis
Copy Industry Concept Analysis into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/byteseek/Mira/tree/main/skills/industry-concept-analysis ~/.claude/skills/industry-concept-analysis

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/byteseek/Mira.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
skills/industry-concept-analysis/SKILL.md in byteseek/Mira
Installs to
~/.claude/skills/industry-concept-analysis
Collection
One of 10 skills cataloged from this repository
Category
AI Engineering2631 skills

What Industry Concept Analysis does

Industry Concept Analysis maps an unclear industry concept into its boundaries, value chain, supply-demand mechanics, profit pools, and candidate stocks. Use it when you need an industry map before deeper company research.

Industry Concept Analysis is cataloged under AI Engineering on DirSkills. Industry Concept Analysis comes from a repository tagged agent-workflow, ai-agents, claude-code, codex and decision-log.

Documentation

README

Industry Concept Analysis Skill

这个 skill 用于把一个不清晰的产业概念快速拆成可研究、可跟踪、可映射到标的的产业链框架。

典型输入包括:

  • 存储
  • CPU
  • GPU
  • ABF
  • HBM
  • CPO
  • 液冷
  • 先进封装

它不是单票研究,也不是主题营销材料。它的目标是回答:

这个概念到底是什么,产业链谁负责什么,利润池和瓶颈在哪,哪些环节有定价权和放量弹性,哪些公司最值得进入下一轮单票研究。

Use When

  • 用户提到一个产业、技术、材料、零部件、工艺、设备或供应链概念,但概念边界不清晰
  • 需要先建立产业地图,再决定研究哪些公司
  • 需要比较上下游环节的议价权、供需状态、放量路径和盈利弹性
  • 需要识别紧供需平衡、高溢价、高收益或潜在反转环节
  • 需要把 T0/T1 机构式框架、产业实践经验和第一性思考沉淀成可复用研究流程

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Industry Concept Analysis

  • What else does byteseek publish alongside Industry Concept Analysis?

    Industry Concept Analysis is one of 10 skills that DirSkills catalogs from byteseek/Mira, the repository it ships in. Its siblings there include Commodity Cycle Analysis, Data Analysis Quality Gate and ETF Listing Analysis. Each one is a separate skill with its own page in this directory, installs the same way Industry Concept Analysis does, and is maintained by byteseek in that same repository. The rest of the collection is listed on the byteseek/Mira page.

  • How does Industry Concept Analysis compare to other AI Engineering skills?

    Industry Concept Analysis ranks #2260 by stars among the 2631 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Industry Concept Analysis against them. Open each page to compare what they document and how they install.

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Industry Concept Analysis is one of 10 skills cataloged on DirSkills from byteseek/Mira.

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