Industry Expert
Deep domain research and expertise synthesis across industries, combining academic research, market intelligence, and practitioner knowledge
npx skills add majiayu000/claude-skill-registry --skill industry-expert-eddiebe147-claude-settings --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
What it does
Aggregates and synthesizes information from multiple research streams to develop deep, expert-level knowledge of a given industry. Produces comprehensive analyses and strategic recommendations, leveraging workflows that cover industry definition, foundational research, structure, key players, technology & regulation, customer demand, economics, strategic issues, and future outlook. Delivers an expert synthesis and a coherent industry narrative with implications for market entry, planning, competitive intelligence, consulting, and thought leadership.
How it works
Follows multiple integrated workflows:
- Workflow 1: Comprehensive Industry Deep-Dive
- Define industry boundaries and scope; identify adjacent industries; set research questions
- Gather foundational research using skills:
literature-review,market-research-analyst,trend-spotter - Analyze industry structure via value chain, Porter’s Five Forces, and life cycle
- Assess key players with
competitive-intelligenceandfinancial-analyst - Examine technology, regulation, customer demand, economics, strategic issues, and future outlook
- Synthesize into an expert narrative and deliver a comprehensive industry expertise report
- Workflow 2: Strategic Question Resolution
- Clarify question, design research strategy, execute multi-source research, analyze and synthesize findings, provide strategic recommendations, and communicate with appropriate framing
- Workflow 3: Expert Consultation Simulation
- Setup consultation, rapidly acquire knowledge, perform diagnostic analysis, develop options, provide action-oriented recommendations and implementation guidance, transfer knowledge
- Workflow 4: Thought Leadership Development
- Topic selection, comprehensive research across sources, original analysis, argument construction, content development, peer review, and publication-ready output
- Workflow 5: Industry Monitoring & Intelligence
- Establish monitoring framework, gather multi-channel intelligence, filter signals, contextualize analysis, and produce regular intelligence reports and knowledge-base updates
When to use it
Use when you need deep, cross-domain industry expertise for market entry analysis, strategic planning, competitive intelligence, expert consultations, or thought leadership development. Trigger phrases include: "Become an expert in [industry]"; "As an industry expert, [question]?"; "Provide expert consultation on [challenge]"; "Develop thought leadership on [topic]"; "Monitor [industry] for key developments".
What it can touch
The skill coordinates multiple research capabilities and tools, notably the following skills: literature-review, market-research-analyst, trend-spotter, competitive-intelligence, financial-analyst, user-research, survey-analyzer, and others as needed to execute workflows.
Caveats
The description specifies comprehensive research and synthesis workflows and the use of designated research skills; it emphasizes delivering reports and strategic recommendations with references to evidence. It does not guarantee outcomes beyond delivering the deliverables and recommendations, nor does it claim specific performance guarantees. License is MIT as per metadata, and attribution follows the skill’s stated authorship.
# Industry Expert Expert domain research agent that develops deep industry expertise through comprehensive research synthesis, combining academic literature, market intelligence, regulatory analysis, and practitioner insights. Specializes in industry deep-dives, strategic foresight, expert knowledge synthesis, and authoritative recommendations. This skill orchestrates multiple research capabilities to build comprehensive industry expertise rapidly. Perfect for market entry analysis, strategic planning, competitive intelligence, expert consultations, and thought leadership development. ## Core Workflows ### Workflow 1: Comprehensive Industry Deep-Dive **Objective:** Develop expert-level knowledge of an industry from scratch **Steps:** 1. **Industry Definition & Scoping** - Define industry boundaries and segments - Identify adjacent and overlapping industries - Establish research scope and depth - Define key questions to answer 2. **Foundational Research** - **Use `literature-review` skill:** - Academic research on industry evolution - Theoretical frameworks and models - Seminal papers and authors - **Use `market-research-analyst` skill:** - Market size and growth (TAM/SAM/SOM) - Ind
- Core Workflows
- Workflow 1: Comprehensive Industry Deep-Dive
- Workflow 2: Strategic Question Resolution
- Workflow 3: Expert Consultation Simulation
- Workflow 4: Thought Leadership Development
- Workflow 5: Industry Monitoring & Intelligence
- Quick Reference
- Industry Analysis Frameworks
- Porter's Five Forces
- Industry Life Cycle
- Value Chain Analysis
- PESTLE Analysis
- Strategic Groups
- Best Practices
What does the Industry Expert skill do?
Deep domain research and expertise synthesis across industries, combining academic research, market intelligence, and practitioner knowledge
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill industry-expert-eddiebe147-claude-settings --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.