Explore our collection of Agent Skills to enhance your AI workflow.
Executes a comprehensive suite of validation checks to ensure project integrity and multi-agent system consistency.
Verifies deterministic cross-language consistency and strong parallelism invariance across 15+ programming environments.
Synthesizes multi-framework AI perspectives into a unified reasoning model using category theory, compression laws, and causal inference.
Validates and automates Riehl-Shulman covariant fibrations for directed type theory within synthetic infinity-categories.
Provides headless access to University of Toronto student and alumni Outlook accounts via IMAP/SMTP with secure OAuth2 authentication.
Implements Schmidhuber's compression-based intrinsic reward to drive curiosity and exploration in learning systems.
Provides expert guidance on implementing the Nostr protocol, managing decentralized events, and adhering to standard Nostr Implementation Possibilities (NIPs).
Automates the creation of Zellij tabs and panes for shell commands, nested Claude sessions, and GitHub issue development.
Facilitates exploratory abductive inference through iterative hypothesis-test loops within a multi-language REPL environment.
Manages ATProto records and Bluesky content through a streamlined CLI interface.
Analyzes OpenStreetMap road networks and geographic data using topological graph structures and GF(3) validation.
Enhances Clojure development by providing semantic code navigation and similarity search via CIDER embeddings.
Synthesizes category theory, compression-driven intelligence, and generative flow networks into a unified framework for advanced AI research and reasoning.
Accelerates high-scale backend development using Rama's 100x efficiency combined with deterministic Gay.jl color streams for visual debugging and data flow tracing.
Resumes interrupted development tasks by locating, validating, and summarizing parked handoff documents.
Implements advanced Möbius inversion on posets and lattices to solve complex combinatorial, graph-theoretic, and number-theoretic problems.
Generates high-quality AI imagery and design assets using optimized Midjourney prompts and Discord workflows.
Facilitates collaborative AI reasoning by integrating OpenAI's Codex CLI for second opinions on code architecture, security analysis, and design decisions.
Enforces a mandatory quality gate to review proposed responses for accuracy, alignment, and proper skill usage before delivery.
Compare database schemas and data structures using algebraic databases and persistent homology coverage analysis.
Compares complex data structures like DuckDB and LanceDB using algebraic databases and category-theoretic analysis.
Orchestrates repository navigation and AI skill management through Emacs-based transient menus and ClojureScript scripting.
Implements von Holst’s reafference theory to distinguish self-generated AI interactions from external anomalies and security threats.
Automates Android application testing and visual quality assurance using emulator control and screenshot analysis.
Transforms feature descriptions into structured Linear projects and prioritized issues for seamless project planning and AI-driven development.
Builds high-quality Model Context Protocol (MCP) servers to enable seamless LLM interaction with external APIs and services.
Implements Bengio's Generative Flow Networks for diverse, reward-proportional sampling in molecule design and causal discovery.
Facilitates cross-domain knowledge synthesis using propagator-based networks to bridge conceptual gaps between different fields of study.
Verifies infinite system behaviors and observational equivalence using coalgebraic bisimulation and stream analysis.
Maintains repository health by identifying and removing technical debt, stale artifacts, and redundant code using validated cleanup workflows.
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