本文へ移動
cccskills
無料GitHub で公開

"grad-coopetition"

"Apply the Co-opetition Value Net framework (Brandenburger and Nalebuff, 1996) to map cooperative and competitive dynamics in business relationships. Use this skill when the user needs to identify complementors, analyze the PARTS framework, or design strategies that simultaneously cooperate and compete with the same players.".

インストール方法を見る

含まれるファイル(4)

  • SKILL.md5.1 KB
  • examples/sample_scenario.md7.5 KB
  • references/coopetition-game-theory.md10.6 KB
  • references/parts-framework-guide.md15.1 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Co-opetition: The Value Net (Brandenburger & Nalebuff, 1996)

Overview

Co-opetition recognizes that business relationships are never purely competitive or purely cooperative. The Value Net model extends Porter's focus on rivalry by adding complementors — players whose products increase the value of yours. The PARTS framework (Players, Added value, Rules, Tactics, Scope) provides a structured approach to changing the game rather than just playing it.

When to Use

Trigger conditions:

  • User is analyzing a relationship that is simultaneously cooperative and competitive
  • User asks about strategic alliances with competitors
  • User needs to identify complementors or map all players in a value network
  • User mentions "frenemy", "coopetition", "complementors", or "value net"

When NOT to use:

  • For pure competitive analysis -> use Porter's Five Forces
  • For internal organizational balance -> use grad-ambidexterity
  • For international market entry mode -> use grad-oli

Assumptions

IRON LAW: Every Business Relationship Contains BOTH Cooperative
          and Competitive Elements

There is NO purely competitive or purely cooperative relationship.
A supplier cooperates (provides inputs) AND competes (captures margin).
A competitor competes (takes share) AND cooperates (grows the category).

Any analysis that labels a player as ONLY competitor or ONLY partner
is incomplete. Always map BOTH dimensions.
  • Business is a game — but players can change the game, not just play it
  • Value creation is cooperative; value capture is competitive
  • The same player can be a competitor AND a complementor simultaneously

Methodology

Step 1: Map the Value Net

Place the focal firm at the center and map four player types: Customers, Suppliers, Competitors (whose products DECREASE your value), and Complementors (whose products INCREASE your value). Key insight: a player can occupy multiple roles (Samsung supplies displays to Apple AND sells competing phones).

Step 2: Assess Added Value

For each player, calculate added value:

  • Added value = Total value of the game WITH the player MINUS total value WITHOUT the player
  • A player can never capture more than their added value
  • Strategies should aim to increase YOUR added value and manage others'

Step 3: Apply PARTS Framework

Systematically evaluate five levers to change the game:

LeverQuestionAction
PlayersWho is in the game? Should we add/remove players?Bring in new complementors, attract new competitors to reduce supplier power
Added valueHow can we increase our added value?Differentiate, build switching costs, create loyal customers
RulesWhat rules govern the game? Can we change them?Contracts, regulations, industry standards, MFN clauses
TacticsHow do perceptions shape the game?Signaling, commitments, transparency vs fog
ScopeWhat is the boundary of the game?Link or de-link games, expand or narrow scope

Step 4: Design Co-opetition Strategy

For each key relationship, specify:

  • Where to cooperate (value creation): joint R&D, standard setting, market expansion
  • Where to compete (value capture): pricing, customer acquisition, differentiation
  • Boundary rules: what information to share, what to protect

Output Format

# Co-opetition Analysis: {Focal Firm}

## Value Net Map
- Customers / Suppliers / Competitors / Complementors: {list each, note dual roles}

## Added Value Assessment
| Player | Added Value | Leverage |
|--------|-------------|----------|
| {Focal firm} | {assessment} | {high/medium/low} |

## PARTS Analysis
| Lever | Current State | Recommended Change |
|-------|---------------|-------------------|
| Players / Added value / Rules / Tactics / Scope | {current} | {action} |

## Co-opetition Strategy
- Cooperate on: {activities} | Compete on: {activities} | Boundary rules: {policy}

Gotchas

  • Complementor identification is the hardest part: Force yourself to ask: "Whose product makes mine more valuable?" The biggest insights hide here.
  • Dual roles create tension: When a partner is also a competitor, define explicit information boundaries.
  • Added value is dynamic: Every major move changes everyone's added value. Reassess after launches or market entries.
  • Cooperation without boundaries leads to knowledge leakage: Alliances need explicit IP firewalls.
  • PARTS is about changing the game: If your analysis only describes the current game, you missed the point.

References

  • For game theory foundations of co-opetition, see references/coopetition-game-theory.md
  • For PARTS framework detailed application guide, see references/parts-framework-guide.md

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

"Implement and select ad bidding strategies from manual CPC to automated target-CPA and target-ROAS. Use this skill when the user needs to choose a bidding strategy, set up automated bidding, or optimize bid parameters — even if they say 'what bidding strategy should I use', 'target CPA setup', or 'smart bidding configuration'.".

日本語の概要は準備中です。原文の説明を表示しています。

charlieviettq/awesome-agent-skill262026年7月20日 更新

"Optimize advertising budget allocation across campaigns using marginal returns analysis. Use this skill when the user needs to distribute budget across multiple campaigns, optimize spend pacing, or maximize overall ROAS under budget constraints — even if they say 'how to split my ad budget', 'campaign budget optimization', or 'diminishing returns on ad spend'.".

日本語の概要は準備中です。原文の説明を表示しています。

charlieviettq/awesome-agent-skill262026年7月20日 更新

"Build CTR prediction models for estimating ad click-through rates from features. Use this skill when the user needs to predict click probability, build an ad ranking model, or evaluate ad creative performance — even if they say 'predict click rate', 'ad relevance scoring', or 'which ad will get more clicks'.".

日本語の概要は準備中です。原文の説明を表示しています。

charlieviettq/awesome-agent-skill262026年7月20日 更新

"Implement Generalized Second Price auction for ad slot allocation and pricing. Use this skill when the user needs to understand search ad auctions, compute ad positions and costs-per-click, or analyze bidding dynamics — even if they say 'how does Google Ads auction work', 'ad rank calculation', or 'second price auction for ads'.".

日本語の概要は準備中です。原文の説明を表示しています。

charlieviettq/awesome-agent-skill262026年7月20日 更新

"Implement VCG mechanism for incentive-compatible ad slot allocation with truthful bidding. Use this skill when the user needs to design a truthful auction mechanism, compute externality-based payments, or understand why platforms may prefer GSP over VCG — even if they say 'truthful auction design', 'VCG payments', or 'incentive-compatible mechanism'.".

日本語の概要は準備中です。原文の説明を表示しています。

charlieviettq/awesome-agent-skill262026年7月20日 更新

"Explain blockchain fundamentals including distributed ledger architecture, consensus mechanisms, and block structure. Use this skill when the user needs to understand blockchain concepts, evaluate whether blockchain fits a use case, or design a blockchain-based solution — even if they say 'how does blockchain work', 'do I need blockchain', or 'distributed ledger'.".

日本語の概要は準備中です。原文の説明を表示しています。

charlieviettq/awesome-agent-skill262026年7月20日 更新

charlieviettq のスキルをすべて見る

このスキルの問題を報告する