What does this skill do, and when should you use it?
This Agent Skill structures industry and sector research across market sizing, industry structure, trends, competitive positioning, valuation context, and investment implications. It is intended for client reports, sector initiations, thematic research, and internal knowledge building. The workflow begins by defining the sector, purpose, depth, angle, and company universe before moving into market and company analysis. The planned deliverables include a Word or PowerPoint report plus an Excel appendix with detailed company data.
It first frames the sector or subsector, research purpose, report depth, analytical angle, and whether private companies should be included. It then organizes analysis of TAM, historical and forecast CAGR, segmentation, concentration, value chains, business models, entry barriers, secular trends, risks, technology disruption, regulation, M&A, and consolidation. For the leading five to ten companies, it specifies a comparison of revenue, growth, EBITDA margin, market share, and differentiation, along with business descriptions, moats, recent developments, and valuation multiples. The output structure includes a market overview, competitive landscape map, company comparison table, valuation summary, key charts, and an Excel appendix. The SKILL.md does not specify data providers, commands, or external tools.
- An equity researcher launching coverage of a new industry needs a first-pass view of market size, participants, and competitive structure.
- An investment banking team preparing market-entry or competitive-positioning materials needs to compare market shares, value chains, and strategic positions.
- A thematic researcher examining a theme such as AI infrastructure needs to organize secular drivers, disruption vectors, and sector debates.
- A private equity team screening an industry needs to assess growth drivers, barriers to entry, consolidation, M&A, and valuation conditions together.
- An internal research group needs a structured sector report that can support later company and investment analysis.
How do you install this skill?
- Do not treat the template's market sizes, valuations, competitive claims, or investment implications as verified facts; add auditable primary sources, dates, assumptions, and cross-checks.
- Before connecting research databases, company filings, or client materials, define permissions, sensitive-data handling, data flows, and human confirmation requirements.
- Chinese-language output, mainland-China data-source reachability, and failure handling are unspecified; validate alternative sources and fallback paths in restricted environments.
The skill is located at plugins/agent-plugins/market-researcher/skills/sector-overview/ in anthropics/financial-services and is bundled with the Market Researcher Agent. In Cowork, open Settings → Plugins → Add plugin, paste https://github.com/anthropics/financial-services, and select the relevant agent or vertical; alternatively upload a zip containing a directory under plugins/. For Claude Code, add the marketplace with claude plugin marketplace add anthropics/financial-services, then install the agent with claude plugin install market-researcher@claude-for-financial-services. The source does not document a standalone installation command for this skill.
tmp="$(mktemp -d)"
git clone --depth 1 https://github.com/anthropics/financial-services.git "$tmp"
mkdir -p ~/.claude/skills
cp -R "$tmp/plugins/agent-plugins/market-researcher/skills/sector-overview" ~/.claude/skills/
rm -rf "$tmp"Generated from the source repository and skill path; it copies only this skill's folder. If the author's install steps above differ, follow those first. To scope it to one project, replace ~/.claude/skills with that project's .claude/skills.
How do you use this skill?
Once installed, send your agent any of these to trigger it:
- Create a sector overview of the U.S. payments industry for a client report, covering market size, major listed companies, competitive dynamics, valuation, and investment implications.
- industry deep dive,
After installation, submit a request containing a supported trigger, for example: “Create a sector overview of the U.S. payments industry for a client report, covering market size, major listed companies, competitive dynamics, valuation, and investment implications.” Supported trigger phrases include “sector overview,” “industry report,” “market landscape,” “sector analysis,” “industry deep dive,” and “thematic research.” Include the sector, purpose, desired depth, angle, and company universe.
What are this skill's strengths and limitations?
- Provides a broad workflow spanning market, competition, valuation, and investment implications.
- Explicitly calls for source attribution, date awareness, and separation of TAM hype from realistic addressable markets.
- Defines concrete company-comparison fields and recommended charts.
- Fits client work, sector initiations, thematic pieces, and internal research.
- The SKILL.md provides no data sources, browsing workflow, MCP setup, or automated data-retrieval method.
- No scripts, test suite, or sample finished report is provided in the supplied material.
- Valuation, M&A, and investment context can become stale quickly and require independent verification.
- Although Word, PowerPoint, and Excel outputs are specified, the source does not establish that these files are generated automatically.
How does this skill compare with similar options?
Side by side with related skills; every score comes from the same FSRS standard.
| Skill | FS score | Stars | Last updated | License |
|---|---|---|---|---|
| Industry Landscape Researcher this page ✓ Anthropic · Official | 47 · Use with care | ★ 40k | 1mo ago | Apache-2.0 |
| Comps Analysis Skill | 48 · Use with care | ★ 1.8k | 11d ago | Apache-2.0 |
| MAIA Investment Analysis (Tododeia) | 55 · Use with care | ★ 150 | 4mo ago | MIT |
| Investment Idea Screener ✓ Anthropic · Official | 50 · Use with care | ★ 40k | 1mo ago | Apache-2.0 |
| Investment Masters | 50 · Use with care | ★ 634 | 1mo ago | MIT |
How did FollowSkills review this skill?
The skill mainly defines a research workflow and report structure, with no stated external actions or credential access. The repository README requires professional review and prohibits transaction execution. However, the skill does not specify data flows, sensitive financial-data handling, user confirmation, permission boundaries, or rollback, and its investment implications can influence high-impact judgments, so points are deducted.
The six-step workflow and requested fields are broadly self-consistent and include sourcing, dating, and stale-data warnings. It lacks input validation, dependency availability guidance, abnormal-input handling, failure feedback, and skill-specific tests; static calibration therefore keeps the score below 10.
The description clearly targets sector overviews, industry reports, market landscapes, and thematic research, with explicit trigger phrases and options for depth, angle, and company universe. Non-fit cases, minimum inputs, Chinese-language support, data-source reachability, and environment limits are not defined, so points are deducted.
The document is layered from scope through market, competition, valuation, implications, and output, while the repository supplies an Apache-2.0 license, contribution guidance, and CI validation. The skill itself lacks versioning, changelog, named maintenance responsibility, FAQ material, dependency/install notes, and sufficient examples, so it does not receive full marks.
The template covers market sizing, competition, valuation, and investment implications and could produce a useful research outline. There is no representative deliverable or execution evidence, and charts, the Excel appendix, and external data still require substantial creation and verification, limiting direct usability.
The skill requires sourcing market-size data and distinguishing TAM hype from realistic addressable markets. Repository CI validates plugins and scans for secrets, but there is no test coverage for this skill's key paths or third-party execution evidence, warranting only limited credit.
Open a dimension to read why it scored that way
Evidence confidence：Low — Mostly static review, author material or a limited demo; useful for discovery, not high-risk decisions.
See the full review method →