Explore our collection of Agent Skills to enhance your AI workflow.
Converts web pages into clean, LLM-friendly Markdown and provides customizable summarization levels directly within Claude Code.
Integrates the OpenAI Agents SDK with You.com MCP servers to provide agents with advanced web search and crawling capabilities.
Standardizes Vercel AI SDK plugin development with patterns for tool configuration, schema validation, and You.com API integration.
Transforms vague user prompts into high-quality, structured instructions optimized for AI models using industry best practices.
Enhances Clojure development by providing semantic code navigation and similarity search via CIDER embeddings.
Analyzes complex software problems as interconnected systems with feedback loops and emergent behaviors.
Implements the Observe-Orient-Decide-Act loop for rapid decision-making in dynamic software development and incident response scenarios.
Implements robust Python testing strategies using pytest, mocking, and property-based testing patterns.
Guides decision-making by defining boundaries of expertise to prevent errors in unfamiliar domains.
Calculates geodesic paths, spherical trigonometry, and Riemannian manifold metrics for complex navigation and spatial modeling.
Automates AI coding agents in non-interactive environments for CI/CD pipelines, scripting, and large-scale code transformations.
Applies Herbert Simon’s Bounded Rationality framework to help developers make efficient, 'good enough' decisions under real-world constraints.
Implements multi-layer data validation strategies to prevent deep execution failures and ensure structural system integrity.
Diagnoses recurring technical and organizational problems using Senge's systems thinking frameworks to identify root causes and high-leverage solutions.
Evaluates architectural decisions and system resilience through structured hypothetical scenarios and mental models.
Facilitates long-term strategic decision-making by projecting future perspectives to minimize lifetime regrets.
Implements comprehensive security testing strategies including SAST, DAST, and manual penetration testing patterns.
Extracts tacit engineering knowledge through guided interviews to generate structured, agent-readable steering documentation.
Identifies and prevents potential failure points by systematically approaching problems from the opposite perspective.
Transforms product requirement documents and feature specifications into structured, actionable development roadmaps with task decomposition and dependency mapping.
Identifies project risks by using prospective hindsight to imagine future failures and work backward to find their causes.
Dispatches a specialized subagent to perform comprehensive code reviews against implementation plans and technical requirements.
Applies entrepreneurial effectuation principles to navigate uncertain projects by focusing on available means and acceptable loss rather than fixed goals.
Navigates and selects the optimal mental model or critical thinking framework based on your specific problem domain and complexity.
Applies structured cognitive frameworks and decision-quality checklists to identify and mitigate subconscious biases in strategic thinking and technical planning.
Standardizes agent behavior and prevents context drift by generating self-reinforcing CLAUDE.md files with immutable law blocks.
Applies Kahneman's Dual-Process Theory to optimize decision-making by balancing intuitive responses with deliberate analytical processing.
Implements a rigorous framework for systematic problem analysis, defensible decision-making, and proactive risk assessment.
Conducts rigorous root cause investigations for bugs and system failures using an enhanced 5 Whys framework with built-in bias guards.
Enables bidirectional conversion between Lisp S-expressions and algebraic databases (ACSets) using OCaml-inspired serialization patterns.
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