Yao Game Theory Skill
SkillCommerce & financeLets 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.
No other account needed.
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
- Convert the request with
references/intake-contract.md; usereferences/dynamic-iteration-loop.mdfor incomplete input or later player moves. - Route through
references/framework-catalog.md: select one primary framework and 2-4 secondary lenses. - Instantiate the combination with
references/game-model-playbook.md: players, strategies, payoffs, timing, beliefs, and equilibrium logic. - Calibrate player rationality with real historical behavior and experience references before trusting payoff-matrix inference.
- Test commitments and signals with
references/commitment-signal-checklist.md. - Run
references/strategic-hygiene-checklist.md,references/strategy-readiness-loop.md, andreferences/sensitivity-and-safety.md. - Build framework selection, opponent reactions, payoff matrix, historical behavior calibration, readiness, sensitivity, next information, and update triggers.
- Run
scripts/generate_report_bundle.py; finalize withreferences/strategic-report-contract.mdandreferences/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 conversionreferences/framework-catalog.md: game theory framework library and AI application routerreferences/game-model-playbook.md: players, strategies, payoffs, timing, equilibrium reasoningreferences/commitment-signal-checklist.md: credibility and signal-quality checksreferences/dynamic-iteration-loop.md: multi-turn and opponent-update loopreferences/strategy-readiness-loop.md: readiness score and remaining-gap loopreferences/strategic-hygiene-checklist.md: strategic assumption hygiene checksreferences/sensitivity-and-safety.md: stress tests and safety boundariesreferences/strategic-report-contract.md: required report sections and schema alignmentreferences/report-export-pipeline.md: artifact generation and print/PDF rulesscripts/generate_report_bundle.py: report builder and exportertemplates/report.schema.json: structured report schemaevals/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