15 tagged bayesian, measured the same way as everything else here.
Browse within: decision-making 8multi-armed-bandit 8
romainsimon/skills-for-decision-making
Skill Claude CodeCodex
Splits scarce time, budget or traffic across competing products, channels, campaigns or variants by treating them as a multi-armed bandit - Thompson sampling over beta posteriors, with optimism for anything not yet tried enough to judge. Use when deciding what to work on next, how to divide a marketing budget, which…
romainsimon/skills-for-decision-making
Skill Claude CodeCodex
Turns a vague "what should we do about X" into a scored decision - explicit actions, an explicit unknown, an explicit prior, and one utility scale - then picks by maximum expected utility and checks the result for framing effects. Use when facing a choice between options under uncertainty, when a decision has stalled…
romainsimon/skills-for-decision-making
Skill Claude CodeCodex
Turns past decisions into calibrated judgment - scoring old predictions against what happened, assigning credit for delayed results, and separating a bad decision from a good decision that lost. Use during a retrospective, postmortem, quarterly or monthly review, when reviewing decisions taken 30+ days ago, when…
Skill Claude CodeCodex
Author: Dr. Aneesh Joseph Implementation: Claude (Anthropic) Version: 2.2 | December 2025.
Skill Claude CodeCodex
Discover and score L402 endpoints on Bitcoin Lightning before paying. Use when an agent needs to call a paid API and wants a Bayesian trust posterior + offline-verifiable Nostr assertion. Bitcoin-pure, no x402/EVM.
Skill Claude CodeCodex
End-to-end Simba MMM workflow over MCP — upload a dataset, create and poll a Bayesian model, and read results correctly (section semantics, channel naming, attribution/Overlap rules, context-size controls). Use when building or analyzing an MMM through the Simba MCP tools.
Skill Claude CodeCodex
Run Simba budget optimizations correctly over MCP — payload conventions (percent bounds, laydown/CPM arrays), revenue vs profit objectives, polling by runid, interpreting decision vs comparison columns, and curating run history. Use when optimizing budgets or reading optimizer results through the Simba MCP tools.
Skill Claude CodeCodex
Simba prior-override payload conventions for createmodel — smart-default merging, strict field rejection, the half-saturation/half-marginal/half-life anchor families and which combinations are invalid. Use before constructing any priors[] override through the Simba MCP tools.
Skill Claude CodeCodexCursor
The scientific thinking protocol for AI agents. Use when facing complex, ambiguous, or high-stakes questions where guessing is costly — technical design decisions, architecture choices, debugging theories, data claims, security judgments, or any answer the agent is tempted to give confidently without evidence.…