Explore our collection of Agent Skills to enhance your AI workflow.
Analyzes and remediates excessive interdependence between software components to improve maintainability and reduce architectural debt.
Architects autonomous AI agent systems using structured reasoning patterns, memory management, and resilient tool integration.
Calibrates the burden of proof for assertions based on their implausibility to ensure rigorous decision-making and debugging.
Quantifies the accuracy of probabilistic predictions to improve decision-making and calibration through systematic feedback.
Deconstructs complex human experiences and reactions into five distinct components to improve decision-making and reduce cognitive bias.
Provides a structured framework to identify and neutralize cognitive biases that lead to skewed professional judgments.
Organizes software into Model, View, and Controller layers to ensure clean separation of concerns and improved code maintainability.
Conducts deep code organization and modularity audits using parallel multi-agent inspection and XDG-compatible reporting.
Guides the design and evaluation of essential communication tools that create long-term user retention through practical necessity and real-world identity anchoring.
Distinguishes between abstractions and reality to identify outdated documentation, misaligned plans, and model-reality gaps.
Implements and guides the application of the eleven Gang of Four behavioral patterns to optimize object communication and responsibilities.
Orchestrates the end-to-end lifecycle of AI capabilities by routing between documentation codification and manual skill authoring.
Implements Stuart Candy's framework for creating tangible, immersive future scenarios through artifacts and interactive situations.
Resolves complex strategic paradoxes by treating apparent contradictions as complementary parts of a unified whole.
Audits source code for security vulnerabilities and enforces production-grade safety standards across the development lifecycle.
Facilitates UNESCO-designed learning-by-doing methodologies to uncover hidden assumptions and expand strategic imagination through structured experimentation.
Implements Toyota’s 7-step strategic planning system to align executive vision with frontline execution using structured cascading and PDCA cycles.
Evaluates and improves user interfaces using Jakob Nielsen’s 10 foundational usability principles for interaction design.
Implement autonomous maintenance, repair, and optimization patterns to eliminate external intervention in systems and software.
Generates platform-specific prompts and interactive UI components from universal widget definitions across Telegram, OpenAI Canvas, MCP, and CLI.
Identifies and overcomes the seven systemic learning disabilities that prevent teams from adapting and solving root-cause problems.
Writes, migrates, and debugs unit tests using Apple's modern Swift Testing framework with @Test macros and #expect assertions.
Solves complex problems by identifying and mapping structural parallels from successful solutions in unrelated domains.
Analyzes the gap between factual observations and prescriptive actions to ensure logical and ethical decision-making.
Implements a goal-setting framework using qualitative objectives and quantitative key results to align teams and drive outcome-based progress.
Refines project forecasts and probability estimates through continuous, evidence-based adjustments to avoid anchoring and overreaction.
Evaluates financial decisions by calculating Net Present Value (NPV) and discounting future cash flows to determine current investment worth.
Applies the physics of momentum to project management and habit formation to overcome inertia and build sustainable progress.
Categorizes product features based on customer satisfaction and investment to drive strategic roadmap decisions.
Implements structured customer interview methodologies to uncover genuine user insights and validate product assumptions through strategic empathy.
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