Sector Overview

OrganizationPopular

anthropics

sector-overview

Create comprehensive industry and sector landscape reports covering market dynamics, competitive positioning, key players, and thematic trends. Use for client requests, sector initiations, thematic research pieces, or internal knowledge building. Triggers on "sector overview", "industry report", "market landscape", "sector analysis", "industry deep dive", or "thematic research".

Overview

Publisher	anthropics
Repository	`financial-services`
Skill name	`sector-overview`
Stars	38.4K
Forks	5.5K
Bundled files	Instructions only
License	Apache-2.0
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by anthropics on GitHub. Read the source before you install it.

Installation

Install the Sector Overview AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/anthropics/financial-services/tree/main/plugins/agent-plugins/market-researcher/skills/sector-overview
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/anthropics/financial-services/tree/main/plugins/agent-plugins/market-researcher/skills/sector-overview

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/anthropics/financial-services.git /tmp/financial-services
mkdir -p .claude/skills
cp -r /tmp/financial-services/plugins/agent-plugins/market-researcher/skills/sector-overview .claude/skills/sector-overview

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Sector Overview in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Sector Overview on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Sector Overview is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Sector Overview

Workflow

Step 1: Define Scope

Sector / subsector: What industry and how narrowly defined?
Purpose: Client report, internal research, pitch material, idea generation
Depth: High-level overview (5-10 pages) or deep dive (20-30 pages)
Angle: Neutral landscape vs. thematic thesis (e.g., "AI infrastructure buildout")
Universe: Public companies only, or include private?

Step 2: Market Overview

Market Size & Growth

Total addressable market (TAM) with source
Historical growth rate (5-year CAGR)
Forecast growth rate and key assumptions
Market segmentation (by product, geography, end market, customer type)

Industry Structure

Fragmented vs. consolidated — top 5 market share
Value chain map — where does value accrue?
Business model types (subscription, transaction, licensing, services)
Barriers to entry (capital, regulatory, technical, network effects)

Key Trends & Drivers

Secular tailwinds (3-5 major trends)
Headwinds and risks
Technology disruption vectors
Regulatory developments
M&A activity and consolidation trends

Step 3: Competitive Landscape

Company Profiles (for top 5-10 players):

Company	Revenue	Growth	EBITDA Margin	Market Share	Key Differentiator

For each company, brief profile:

Business description (2-3 sentences)
Strategic positioning and moat
Recent developments (earnings, M&A, product launches)
Valuation snapshot (P/E, EV/EBITDA, EV/Revenue)

Competitive Dynamics

How do companies compete? (price, product, service, distribution)
Who is gaining/losing share and why?
Disruption risk from new entrants or adjacent players

Step 4: Valuation Context

Sector trading multiples (current and historical range)
Premium/discount drivers (growth, margins, market position)
Recent M&A transaction multiples
How does the sector compare to the broader market?

Step 5: Investment Implications

Where are the best risk/reward opportunities?
What thematic bets can be expressed through this sector?
Key debates in the sector (bull vs. bear arguments)
Catalysts that could change the sector narrative

Step 6: Output

Word document or PowerPoint with:
- Market overview and sizing
- Competitive landscape map
- Company comparison table
- Valuation summary
- Key charts: market growth, share trends, valuation history
Excel appendix with detailed company data

Important Notes

Source all market size data — cite the research firm or methodology
Distinguish between TAM hype and realistic addressable market
Sector overviews age fast — note the date and flag data that may be stale
Charts are essential — market size waterfall, competitive positioning matrix, valuation scatter plot
If for a client, tailor the "so what" to their specific situation (M&A target identification, competitive positioning, market entry)

Frequently asked questions

What does the Sector Overview AI skill do?

Why use Sector Overview on TypingMind?

Because you install it once and use it with any model. Sector Overview is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Sector Overview in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/anthropics/financial-services/tree/main/plugins/agent-plugins/market-researcher/skills/sector-overview. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Sector Overview?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Sector Overview?

As many as you like. As long as a model supports skills, you can use Sector Overview with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Sector Overview AI skill free?

Yes. It is published on GitHub by anthropics under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Sector Overview

Workflow

Step 1: Define Scope

Step 2: Market Overview

Step 3: Competitive Landscape

Step 4: Valuation Context

Step 5: Investment Implications

Step 6: Output

Important Notes

Frequently asked questions

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