Sector Landscape Research
Structure industry dynamics, competition, valuation, and investment themes in one research workflow.
The skill prescribes research content and source citation but performs no external action or obviously excessive operation, so no red-line risk is evident; it does not specify data flows, sensitive financial-data handling, user confirmation, dependency security, rollback, or source-verification procedures, so points are deducted.
The workflow is internally coherent and covers scope, market, competition, valuation, and output; however, it has no scripts, tests, input validation, exception handling, diagnosable failure feedback, or declared external-data dependencies. Static calibration therefore caps this below 10.
The name, scenarios, and trigger phrases are reasonably clear for sector overviews, initiations, and thematic research; non-fit boundaries, input format, trigger exclusions, Chinese-language support, and mainland-China reachability are unspecified, preventing a full score.
The document is readable and layered, while repository context supplies an Apache-2.0 license, CI validation, and contribution/update guidance; the skill itself lacks installation notes, examples, FAQs, versioning, changelog, and explicit maintenance ownership, so points are deducted.
The workflow can produce a market overview, competitive table, valuation summary, and charts, giving it practical core value; representative outputs, data-acquisition methods, and third-party verification are absent, so substantial research and review may still be required.
The skill requires citing market-size sources, and repository CI and security scans provide limited auditable evidence; there is no skill-specific key-path test suite, execution record, or independent reproduction evidence, so the score remains at or below 5.
- This is a static source review only; the skill was not executed and report quality was not independently verified.
- Financial data, valuations, and market sizes require independent professional validation of dates, methodology, and sources.
- Mainland-China data-source and network reachability are unspecified and should be validated before deployment.
- Add input/output templates, failure handling, source verification, sensitive-data rules, version history, and representative examples.
What it does & when to use it
Sector Overview creates industry and subsector landscape reports. It covers market size and growth, industry structure, key trends, competitive positioning, company comparisons, valuation context, and investment implications. It is intended for client reports, sector initiations, thematic research, and internal knowledge building. The skill defines a research workflow and deliverable structure, but provides no built-in data sources, scripts, or automated connectors.
It first defines the sector scope, research purpose, report depth, analytical angle, and company universe. It then organizes market size, historical and forecast growth, segmentation, industry structure, value chains, business models, barriers to entry, trends, risks, technology disruption, regulation, and M&A activity. For major companies, it structures revenue, growth, EBITDA margin, market share, differentiators, strategic positioning, recent developments, and valuation metrics. It concludes with an output plan covering market overview, competitive mapping, company comparison, valuation summary, investment implications, charts, and an Excel appendix.
- An investment banking researcher preparing a sector report for a client market-entry or target-identification assignment.
- An equity research analyst drafting a sector initiation or thematic research piece.
- An investment team comparing leading companies by competitive position, market share, and valuation.
- An internal research group building a structured knowledge base for a subsector.
Pros & cons
- Provides a complete workflow spanning scope definition, market analysis, competition, valuation, and investment implications.
- Explicitly requires separating TAM claims from realistic addressable markets and flagging stale data.
- Gives concrete structures for company comparisons, competitive positioning, and key charts.
- The SKILL.md includes no built-in data sources, web retrieval, MCP connectors, or calculation scripts.
- No test suite, sample deliverable, or automated output implementation is provided.
- Report quality depends on the user supplying or validating market, valuation, regulatory, and company data.
- Although it specifies Word, PowerPoint, and Excel deliverables, it does not document the tools or installation steps needed to generate them.
How to install
The skill is located at plugins/agent-plugins/pitch-agent/skills/sector-overview/SKILL.md. According to the README, in Cowork you can open Settings → Plugins → Add plugin, paste https://github.com/anthropics/financial-services, and select the relevant agents or verticals; you can also upload a zip containing a directory under plugins/. The README does not document a standalone installation command for this skill.
How to use
In an environment where the skill is loaded, provide a request that includes the sector and research purpose, for example: “Create a sector overview of the global payments industry for client pitch material, including market sizing, competitors, valuation context, and investment implications.” Trigger phrases include “sector overview,” “industry report,” “market landscape,” “sector analysis,” “industry deep dive,” and “thematic research.” Specific data sources and dates must be supplied by the user or supported separately by the runtime environment.