Yao Game Theory Skill

SkillCommerce & finance

Lets your agent analyze strategic business decisions like pricing, negotiations, and competitive moves using game theory.

Available today. Use it from your connected AI after setup.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Yao Game Theory Skill skill

About this skill

Route CEO-facing competition, negotiation, channel, pricing, platform, M&A, financing, competitor-response, alliance, and regulator problems through an applied game-theory framework router when decisions depend on opponent reactions, credible commitments, signals, payoff/equilibrium logic, historica

What this skill tells your AI

The instructions your AI receives, as published by yaojingang/yao-open-skills in skills/yao-gametheory-skill/SKILL.md and read by ahel’s review.

Use This Skill For

  • convert CEO-facing strategic interactions into game theory reports
  • choose and combine game theory frameworks from references/framework-catalog.md
  • answer "对手可能怎么反应" and "我们的承诺动作是否可信"
  • use historical behavior and reference-class experience to adjust rationality and commitment probabilities
  • update prior reports when a player makes a new move
  • export synchronized Markdown, HTML, Word/DOCX, and PDF reports

Do Not Route Here

  • game theory homework, theorem proofs, or textbook explanation with no strategic report
  • generic strategy brainstorming where no player can react strategically
  • final legal, financial, investment, antitrust, or regulatory advice
  • manipulative, deceptive, coercive, or unlawful competitive tactics

Default Workflow

  1. Convert the request with references/intake-contract.md; use references/dynamic-iteration-loop.md for incomplete input or later player moves.
  2. Route through references/framework-catalog.md: select one primary framework and 2-4 secondary lenses.
  3. Instantiate the combination with references/game-model-playbook.md: players, strategies, payoffs, timing, beliefs, and equilibrium logic.
  4. Calibrate player rationality with real historical behavior and experience references before trusting payoff-matrix inference.
  5. Test commitments and signals with references/commitment-signal-checklist.md.
  6. Run references/strategic-hygiene-checklist.md, references/strategy-readiness-loop.md, and references/sensitivity-and-safety.md.
  7. Build framework selection, opponent reactions, payoff matrix, historical behavior calibration, readiness, sensitivity, next information, and update triggers.
  8. Run scripts/generate_report_bundle.py; finalize with references/strategic-report-contract.md and references/report-export-pipeline.md.

Output Contract

  • Produce an executive strategy report, not a theory lecture.
  • Put the recommendation, opponent reaction forecast, and credible-commitment call before technical sections.
  • Mark payoffs, probabilities, and assumptions as observed, estimated, or assumed.
  • Include frameworks, payoff matrix, reactions, equilibria, historical rationality calibration, commitment/signal checks, readiness, sensitivity, next information, update log, triggers, and caveats.
  • Default language is Simplified Chinese; generate PDF automatically when possible, otherwise keep HTML print-ready.

Reference Map

  • references/intake-contract.md: request-to-game-brief conversion
  • references/framework-catalog.md: game theory framework library and AI application router
  • references/game-model-playbook.md: players, strategies, payoffs, timing, equilibrium reasoning
  • references/commitment-signal-checklist.md: credibility and signal-quality checks
  • references/dynamic-iteration-loop.md: multi-turn and opponent-update loop
  • references/strategy-readiness-loop.md: readiness score and remaining-gap loop
  • references/strategic-hygiene-checklist.md: strategic assumption hygiene checks
  • references/sensitivity-and-safety.md: stress tests and safety boundaries
  • references/strategic-report-contract.md: required report sections and schema alignment
  • references/report-export-pipeline.md: artifact generation and print/PDF rules
  • scripts/generate_report_bundle.py: report builder and exporter
  • templates/report.schema.json: structured report schema
  • evals/trigger_cases.json: route positives, negatives, and near-neighbor cases

Signals

GitHub stars
1k
Forks
147
Last commit
Aug 2026

ahel review

  • K6info
    bundled executables the agent is told to run

Automated review, not a security audit. Ruleset v1+k2.

Advanced
Item type
skill
Key
yao-gametheory-skill
Source
github.com/yaojingang/yao-open-skills