The Art Of Strategy
The Art Of Strategy from bookforge-ai/bookforge-skills.
Skills in this plugin
10- ▌ Negotiation Strategist · bookforge-ai bundleApply the complete game-theoretic bargaining framework to any negotiation. Use this skill when a user needs to structure a negotiation, determine who has leverage, calculate the fair split, or decide whether to make a concession or walk away. Triggers include: user is preparing for a salary negotiation, contract renegotiation, partnership deal, M&A term sheet, or labor negotiation and wants to know what number to open with and why; user wants to determine the 'pie' — the true surplus that is actually at stake between the two parties, not the headline dollar figures; user needs to identify and quantify their Best Alternative to a Negotiated Agreement (BATNA) or the other side's BATNA before entering talks; user wants to know how to improve their bargaining position before the negotiation starts (raise your BATNA, lower theirs); user must decide whether to bundle multiple issues together or separate them; user is weighing whether to actually strike, walk out, or threaten to do so, and wants to understand the co
- ▌ Voting System Strategist · bookforge-ai bundleAnalyze, design, or defend against voting system manipulation. Use this skill when a user needs to evaluate how a voting or election procedure will behave strategically — including which candidate or option will actually win under a given system, how an agenda-setter can engineer an outcome, whether a preference cycle makes the 'true will' of the group unknowable, how to choose the voting rule best suited to a group's goals, or when a voter should vote strategically rather than sincerely. Triggers include: user is designing a committee, board, or organizational voting process and wants to know which system is fairest or hardest to manipulate; user suspects the order of votes or the choice of voting method is being used against them; user needs to predict who wins under plurality, runoff, Condorcet pairwise, Borda count, or approval voting; user wants to know whether their group's preferences form a cycle that makes any outcome unstable; user is a voter or participant wondering whether to vote sincerely or str
- ▌ Incentive Scheme Designer · bookforge-ai bundleDesign and diagnose incentive contracts for situations where effort is unobservable (moral hazard). Use this skill when a user needs to motivate a contractor, employee, co-founder, or agent whose actions cannot be directly monitored; when a user is deciding between a fixed salary, piece-rate, equity share, bonus, or fine structure; when a user needs to set the bonus level so that high-quality effort is in the agent's self-interest; when a user must satisfy both the participation constraint (agent accepts the deal) and the incentive compatibility constraint (agent exerts the desired effort); when a user wants to diagnose why an existing incentive scheme is failing — through sandbagging, gaming, effort diversion, or lack of effort; when a user is deciding between carrots and sticks and needs to understand when each is preferred; when a user suspects financial incentives are crowding out intrinsic motivation (Gneezy/Rustichini effect); when a user manages people performing multiple tasks and needs to know whethe
- ▌ Nash Equilibrium Analyzer · bookforge-ai bundleFind Nash equilibria in simultaneous-move games by constructing payoff matrices, eliminating dominated strategies (Rules 2-3), mapping best responses (Rule 4), and calculating mixed strategy proportions using the indifference principle (Rule 5). Use this skill when two or more players choose actions simultaneously without seeing each other's moves — pricing decisions, product launches, competitive bids, penalty kicks, resource allocation conflicts — and you need to identify stable strategy configurations, calculate exact mixing proportions for zero-sum conflicts, or select among multiple equilibria using focal-point analysis.
- ▌ Auction Bidding Strategist · bookforge-ai bundleApply the complete game-theoretic auction framework to determine the optimal bid in any auction format. Use this skill when a user is preparing to bid in an English (ascending) auction, a Japanese auction, a Vickrey (second-price sealed-bid) auction, a Dutch (descending-clock) auction, or a standard sealed-bid first-price auction, and wants the game-theoretically correct strategy rather than guesswork. Triggers include: user is deciding how much to bid in a competitive tender, procurement auction, real estate auction, eBay auction, spectrum license auction, or corporate acquisition; user is worried about overbidding and wants to know how to set a ceiling; user suspects they may be falling into the winner's curse — winning but regretting the price paid; user must classify whether the auction involves private values (each bidder's value is independent) or common values (the item has a single underlying value that all bidders are estimating), because the correct strategy differs sharply between the two; user is
- ▌ Prisoners Dilemma Resolver · bookforge-ai bundleDiagnose whether a multi-player conflict is a prisoners' dilemma and design a cooperation mechanism to resolve it. Use when parties are locked in a mutually destructive pattern even though all would benefit from cooperation — price wars, overfishing, arms races, advertising spirals, commons depletion, collective action failures. Distinguishes prisoners' dilemmas (dominant strategy to defect) from coordination problems (no incentive to deviate once aligned) and tailors the remedy accordingly. Produces a structured cooperation design plan: diagnosis, payoff assessment, discount-rate threshold calculation, mechanism selection from a resolution menu (self-enforcement through repeated play, tit-for-two-tats, mutual promises with escrow, linkage, reputation systems, third-party enforcement, Ostrom commons governance), and implementation checklist. Use when someone says 'everyone would be better off if we all cooperated but no one does', 'we keep undercutting each other even though it hurts everyone', 'how do we sto
- ▌ Strategic Situation Analyzer · bookforge-ai bundleClassify any strategic situation and route to the right game-theory skill. Use this skill whenever a user describes any situation involving multiple decision-makers whose outcomes depend on each other's choices. Triggers include: user says 'I'm not sure how to think about this strategically'; user faces a competitive or cooperative decision and doesn't know where to start; user asks which game theory concept applies to their situation; user describes a negotiation, competition, auction, vote, or incentive design problem and wants to know the right framework; user asks 'is this a prisoners' dilemma?'; user wants to understand whether their situation calls for cooperation or competition; user has a business, political, or personal strategic dilemma and needs a diagnostic before diving into analysis; user says 'what kind of game am I playing?'; user describes any interaction where their best action depends on what others will do; user is unsure whether to look for dominant strategies, equilibria, or use backward
- ▌ Strategic Commitment Designer · bookforge-ai bundleDesign credible strategic moves — commitments, threats, and promises — to change the game in your favor before play begins. Use this skill when a user needs to lock in a position and prevent backtracking; deter an adversary from an unwanted action; compel a counterpart to take a desired action; make a negotiation stance, policy, or business pledge actually believable; or structure incentive mechanisms that hold even when renegotiation is tempting. Triggers include: user wants to commit to a course of action in a way that others will believe; user is setting a credible deterrent threat (e.g., retaliation policy, penalty clause, price floor); user must compel action by a deadline and needs the right move type and deadline design; user suspects their threat or promise will be dismissed as a bluff; user needs to choose between issuing a threat vs. a promise for deterrence or compellence; user wants to practice brinkmanship and needs to calibrate the risk level; user is designing a contract or commitment mechanism
- ▌ Backward Reasoning Game Solver · bookforge-ai bundleSolve sequential-move strategic games using backward induction. Use this skill when a user faces a multi-stage decision or negotiation where players alternate moves and each person's best action depends on what others will do later. Triggers include: user needs to determine the optimal opening move in a turn-based game or negotiation; user wants to know whether they can guarantee a win or favorable outcome before the game starts; user must sequence two risky actions and does not know which to attempt first; user is analyzing a multi-stage political, business, or competitive scenario where one party moves, the other responds, and so on; user has a finite-horizon sequential game with known player preferences and needs the game-theoretic solution; user suspects their opponent can anticipate their moves and wants to reason from end-states backward to their first action; user is building a game tree and needs to prune it to find dominant paths; user has a combinatorial takeaway game (like Nim variants) and wants t
- ▌ Information Asymmetry Strategist · bookforge-ai bundleDiagnose and resolve information asymmetry in strategic interactions using four mechanisms: signaling, screening, signal jamming, and countersignaling. Use this skill when a user needs to credibly communicate private information to an uninformed counterpart; when a user needs to elicit honest information from a better-informed counterpart without being able to verify their claims; when a user suspects they are on the receiving end of signal jamming or adverse selection and wants to see through it; when a user is designing a pricing scheme, contract structure, hiring process, or product menu and needs to induce self-selection among different customer or candidate types; when a user wants to know whether to signal their quality, countersignal by staying silent, or jam an opponent's signals; when a user needs to apply Bayes' rule to update beliefs after observing an opponent's action in a mixed-strategy game; when a user faces Akerlof-style market collapse risk and wants to identify signaling or screening remedi