yao-gametheory-skill
Route CEO-facing competition, negotiation, channel, pricing, platform, M&A, financing, competitor-response, alliance, and regulator problems through an…
Skill by yaojingang
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/yaojingang-yao-gametheory-skill
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: documents, frontend, finance, legal
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/yao-gametheory-skill
What's inside
- Skill name
yao-gametheory-skill- Description
- 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, historical behavior, dynamic updates, or Markdown/HTML/Word/PDF report export. Do not use for textbook tutoring, proofs, gambling, generic brainstorming, or final legal/financial/regulatory advice.
- License
- MIT
- Instructions
- 54 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (31)
- README.en.md
- README.md
- SKILL.md
- interface.yaml · agents/
- semantic_config.json · evals/
- trigger_cases.json · evals/
- opponent_update.template.json · input/
- price_war_case.json · input/
- manifest.json
- commitment-signal-checklist.md · references/
- dynamic-iteration-loop.md · references/
- framework-catalog.md · references/
- game-model-playbook.md · references/
- intake-contract.md · references/
- report-export-pipeline.md · references/
- sensitivity-and-safety.md · references/
- strategic-hygiene-checklist.md · references/
- strategic-report-contract.md · references/
- strategy-readiness-loop.md · references/
- README.md · reports/
- artifact-design-profile.md · reports/
- bayesian-inspired-upgrade-plan.md · reports/
- design-summary.md · reports/
- output-risk-profile.md · reports/
- price-war-case.canonical.json · reports/
- price-war-case.docx · reports/
- price-war-case.html · reports/
- price-war-case.md · reports/
- price-war-case.pdf · reports/
- generate_report_bundle.py · scripts/
- report.schema.json · templates/
SKILL.md (first lines)
# Yao Game Theory Skill ## 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
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Signals
- Stars
- 1,324
- Forks
- 144
- Open issues
- 0
- Last commit (this folder)
- May 12, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/yaojingang/yao-open-skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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yao-gametheory-skill. Agent Mart. https://agentmart.dev/skills/yaojingang-yao-gametheory-skill (last updated 2026-10-24)