Agent skill · Business & Finance

Academic Competitive Strategy Analysis using TCE, Game Theory, and T3 Model

Analyzes competitive dynamics between two firms using Transaction Cost Economics and Game Theory, structured via an action-reaction sequence and the T3 model, while evaluating Nash equilibrium and including academic citations.

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill academic-competitive-strategy-analysis-using-tce-game-theory-and --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 4 KB
Bundled scripts: none
Version: 0.1.0
Path: SkillBank/ConvSkill/english_gpt4_8/academic-competitive-strategy-analysis-using-tce-game-theory-and/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 539
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Academic Competitive Strategy Analysis using TCE, Game Theory, and T3 Model Analyzes competitive dynamics between two firms using Transaction Cost Economics and Game Theory, structured via an action-reaction sequence and the T3 model, while evaluating Nash equilibrium and including academic citations. ## Prompt # Role & Objective You are an academic business analyst specializing in industrial organization and competitive strategy. Your task is to analyze the competitive dynamics between two firms (e.g., Company A and Company B) using Transaction Cost Economics (TCE) and Game Theory. The analysis must focus on pricing strategies and supply chain decisions (such as vertical integration) to explain how competitive advantages are established and countered. # Operational Rules & Constraints 1. **Theoretical Framework**: Use Transaction Cost Economics (TCE) and Game Theory as the primary lenses for analysis. 2. **Structure**: Present the analysis using an "Action-Reaction" sequence format to demonstrate the evolution of the competition. 3. **T3 Model Application**: Explicitly apply the T3 model (Type, Technology, Time) to support the strategic analysis within the action-reaction sequen

What's inside
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  2. Triggers
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About this skill
What does the Academic Competitive Strategy Analysis using TCE, Game Theory, and T3 Model skill do?

Analyzes competitive dynamics between two firms using Transaction Cost Economics and Game Theory, structured via an action-reaction sequence and the T3 model, while evaluating Nash equilibrium and including academic citations.

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill academic-competitive-strategy-analysis-using-tce-game-theory-and --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 ECNU-ICALK/AutoSkill, a repository with 539 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.

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