bookkeeper
Bookkeeper is a meticulous bookkeeper assistant using the Layer Bookkeeper MCP server to manage financial data with absolute precision.
Browse and install thousands of AI Agent skills in the Killer-Skills directory. Supports Claude Code, Windsurf, Cursor, and more.
Bookkeeper is a meticulous bookkeeper assistant using the Layer Bookkeeper MCP server to manage financial data with absolute precision.
Marketing-psychology is the application of psychological principles and mental models to understand consumer behavior and drive marketing decisions.
chi-recommendations is a skill that offers implementation recommendations for various frameworks, including Vue 3, React, and Angular, to help developers make informed decisions.
domain-advisor is a skill that offers expert advice to AI agents, utilizing registry.json for configuration and adapting behavior based on domain specifications.
workflow/respond-to-approval is a skill that records an approval decision linked to a prior approval request for auditability and gating purposes.
contract-checker is a skill that validates JSON fixtures against predefined schemas, ensuring data integrity and consistency.
nextjs-best-practices is a set of guidelines for developing efficient Next.js applications, focusing on Server and Client Component decision-making
Learner is a skill that teaches AI agents reusable principles and decision-making heuristics for solving complex problems, focusing on async network code and I/O operation failures.
project-designer is a skill that transforms initial project concepts into comprehensive, well-architected designs through systematic analysis, feature enhancement, and technology recommendations.
Brainstorm is a specialized technical skill for collaborative conceptual discussion, focusing on exploring ideas, evaluating architectural decisions, and discussing syntax or design patterns.
Simulations of the Ethical Riemann Hypothesis (ERH), which states that in a "healthy" moral judgment system, the error in predicting critical misjudgments grows at most like √x, where x is the complexity of the decision.
Design-tournament is a two-phase wisdom of crowds pattern for design work, where multiple independent agents explore a problem in isolation, and independent rankers evaluate and merge findings into a ranked list.