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Strategize Emerging Industry

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gnurio
strategize-emerging-industry

Formulate strategy for emerging industries using Porter's framework. Use when industry is newly formed, has high uncertainty, no established rules, and early-stage competitors.

Overview

Publishergnurio
Repositoryporter-strategy-skills
Skill namestrategize-emerging-industry
Stars
62
Forks
4
Bundled files
1
Links
  • 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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by gnurio on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/gnurio/porter-strategy-skills/tree/main/skills/strategize-emerging-industry
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

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/gnurio/porter-strategy-skills.git /tmp/porter-strategy-skills
mkdir -p .claude/skills
cp -r /tmp/porter-strategy-skills/skills/strategize-emerging-industry .claude/skills/strategize-emerging-industry
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Strategize Emerging Industry 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 Strategize Emerging Industry 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 Strategize Emerging Industry 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.

Strategize Emerging Industry

Formulate a competitive strategy for a firm operating in an emerging industry by diagnosing structural characteristics, building scenarios, and choosing a strategic posture (shape vs. adapt, pioneer vs. follow).

Input

  • Industry diagnosis from diagnose-industry-type confirming emerging classification
  • Firm capabilities: resources, technology position, risk tolerance, capital access

Output

  • Strategic posture recommendation (shape/adapt balance + pioneer/follow timing)
  • Scenario set (2-3 bounded product/technology/market scenarios)
  • Monitoring agenda (key signals that indicate which scenario is unfolding)

Procedure

Step 1: Confirm Emerging Industry Structural Characteristics

Check which of Porter's common structural features are present:

  1. Technological uncertainty -- no dominant product configuration or production technology yet established
  2. Strategic uncertainty -- firms groping with different approaches to positioning, marketing, servicing; poor information about competitors
  3. High initial costs but steep cost reduction -- small volume drives high costs, but learning curve and scale economies produce rapid decline
  4. Embryonic companies and spin-offs -- high proportion of newly formed firms; established firms enter later
  5. First-time buyers -- core marketing task is inducing substitution, not competing for existing customers
  6. Short time horizon -- bottlenecks handled expediently; "conventional wisdom" born from arbitrary early decisions
  7. Subsidy -- government or non-government subsidies aid growth but add political instability
  8. Early mobility barriers -- barriers stem from risk-bearing ability, technological creativity, and securing inputs/channels, NOT from brand identification, scale, or massive capital

If fewer than 3 characteristics are present, reconsider the emerging classification.

Step 2: Build Scenarios (Forecasting Under Uncertainty)

Porter's scenario method uses iterative feedback loops:

  1. Product/technology scenarios -- estimate future cost, product variety, and performance. Select 2-3 internally consistent scenarios that bound the probable range of outcomes.
  2. Market scenarios -- for each product/technology scenario, predict which markets will open, their size, and characteristics.
  3. Feedback loop 1 -- the markets that open early shape how technology evolves. Iterate between product and market scenarios.
  4. Competition scenarios -- forecast which competitors will succeed, who will enter. This feeds back again into industry direction.
  5. Feedback loop 2 -- the nature and resources of entrants influence the direction the industry takes.

For each scenario, identify the key events that would signal it is occurring. These become the monitoring agenda.

Step 3: Shape vs. Adapt Decision

Porter: "The overriding strategic issue in emerging industries is the ability of the firm to shape industry structure."

Shape (set the rules) when the firm can:

  • Define product policy, marketing approach, and pricing strategy to favor its long-run position
  • Afford the cost of industry advocacy (promoting standardization, policing quality, presenting a united front)
  • Make "temporary" investments outside its ideal long-run position to develop the industry

Adapt (follow the rules) when:

  • The firm lacks resources to influence standards or buyer behavior
  • The industry structure is being shaped by a much larger player
  • Uncertainty is so high that flexibility is more valuable than commitment

Balance industry advocacy with firm positioning. Early on, cooperate to induce substitution and build industry credibility. As penetration grows, shift the balance toward defending the firm's own specific market position.

Step 4: Pioneer vs. Follower Timing Decision

Pioneer (early entry) is appropriate when:

  • Image and reputation of the firm are important to the buyer
  • The learning curve is steep, experience is difficult to imitate, and will not be nullified by successive technological generations
  • Customer loyalty will be great, so benefits accrue to the firm that sells to the customer first
  • Absolute cost advantages can be gained by early commitment to raw materials, distribution channels

Pioneering is too risky when:

  • Early competition and market segmentation will change, causing the firm to build the wrong skills with high changeover costs
  • Costs of opening the market (customer education, regulatory approvals, technological pioneering) cannot be made proprietary
  • Early competition with small firms will be costly, but these firms will be replaced by more formidable late entrants
  • Technological change will make early investments obsolete, giving later entrants an advantage with newest products and processes

Step 5: Formulate Strategic Moves

From the shape/adapt and pioneer/follow decisions, select from Porter's strategic priorities:

  1. Shape industry structure -- set rules for product policy, marketing, pricing
  2. Manage externalities -- balance industry advocacy with firm positioning; invest temporarily outside ideal position if needed to develop the industry
  3. Exploit changing supplier/channel orientation -- as industry proves itself, suppliers and channels become more willing to invest; exploit this shift early for strategic leverage
  4. Respond to shifting mobility barriers -- prepare to defend position with new means as early barriers (technology, creativity) erode and are replaced by scale and marketing clout
  5. Secure tactical advantages -- early commitments to scarce raw materials; time financing to exploit capital market enthusiasm
  6. Cope with competitors strategically -- resist the emotional urge to defend near-monopoly share; consider encouraging certain competitors or licensing technology to develop the market

During synthesis, consult reference.md for Porter's heuristics on emerging industries; before finalizing, check its failure modes.

Output Template

## Emerging Industry Strategy: [Industry Name]

### Structural Diagnosis
- Characteristics present: [list from Step 1]
- Characteristics absent: [list]
- Confidence in emerging classification: [high/medium/low]

### Scenarios
| Scenario | Product/Technology | Markets | Competition | Probability |
|---|---|---|---|---|
| A: [name] | ... | ... | ... | ... |
| B: [name] | ... | ... | ... | ... |
| C: [name] | ... | ... | ... | ... |

### Strategic Posture
- Shape vs. adapt: [recommendation + rationale]
- Pioneer vs. follow: [recommendation + rationale]
- Industry advocacy balance: [current phase recommendation]

### Strategic Moves
1. [Move] -- [rationale from Step 5]
2. ...

### Monitoring Agenda
- Signal 1: [event] -> indicates Scenario [X]
- Signal 2: ...

### Shifting Barriers Watch
- Current barriers: [list]
- Expected future barriers: [list]
- Preparation required: [actions]

Worked Example: Early Solar Heating Industry (circa 1980)

Structural diagnosis: All 8 characteristics present. Technological uncertainty (active vs. passive systems). Strategic uncertainty (components vs. full systems, varied distribution). High initial costs with steep decline. Embryonic companies dominate. First-time buyers requiring substitution from conventional heating. Government subsidies adding political instability. Early barriers: technological creativity, risk tolerance.

Scenarios:

  • A: Costs drop 40% in 5 years, tax incentives persist -> mass residential adoption, large firms enter
  • B: Moderate cost decline, incentives reduced -> niche commercial/institutional market only
  • C: Breakthrough in competing technology (heat pumps) -> solar confined to off-grid applications

Strategic posture: Shape -- the industry needs standardization and credibility. Pioneer if the firm can secure raw material supply and build installer network (learning curve in installation is steep and proprietary). Follow if the firm's strength is manufacturing scale, since early segmentation (residential vs. commercial, active vs. passive) will likely shift.

Key moves: Promote industry standards to build buyer confidence. Invest in installer training (proprietary learning curve). Secure supplier relationships for collectors. Time equity financing during current Wall Street enthusiasm. Avoid attacking competitors publicly -- the industry's image of reliability is fragile.

Monitoring signals: Rate of government incentive renewals (Scenario A vs. B). Heat pump cost trajectory (Scenario C). Entry of major HVAC manufacturers (signals shift from early to scale-based barriers).

Shifting barriers watch: Current barriers (technological creativity, risk tolerance) will erode. Prepare for scale-based competition by building brand and distribution before large entrants arrive.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Strategize Emerging Industry AI skill do?

Formulate strategy for emerging industries using Porter's framework. Use when industry is newly formed, has high uncertainty, no established rules, and early-stage competitors.

Why use Strategize Emerging Industry on TypingMind?

Because you install it once and use it with any model. Strategize Emerging Industry 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 Strategize Emerging Industry in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/gnurio/porter-strategy-skills/tree/main/skills/strategize-emerging-industry. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Strategize Emerging Industry?

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 Strategize Emerging Industry?

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

Is the Strategize Emerging Industry AI skill free?

It is published on GitHub by gnurio. Check the repository for licensing terms. 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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