Explora nuestra colección completa de Habilidades de Claude que extienden las capacidades de los agentes de IA.
Prevents agent actions by verifying minimal skill coverage using ε-machine causal state modeling.
Powers high-performance categorical geospatial operations using SedonaDB's O(log n) spatial indexing and GeoACSets.jl semantics.
Manages complex topological structures and graph-based computational models using category theory principles.
Simplifies academic research by automating paper discovery, metadata extraction, and BibTeX bibliography management.
Evaluates monoidal functors for string diagrams to generate tensor networks, quantum circuits, and executable Python code.
Synthesizes Patrick Kenny's discrete active inference framework with K-Scale's JAX/MuJoCo stack for predictive robot control.
Analyzes contract formation, validity, and performance obligations under the Indian Contract Act 1872 and related statutes.
Formalizes and analyzes bidirectional observation relationships between agents using sheaf-theoretic consistency and structured decompositions.
Gates agent actions using ε-machine causal state inference to ensure verified skill coverage before task execution.
Manages complex task dependencies for AI agents using a lightweight, Git-synced issue tracking system.
Analyzes how ideas and behaviors spread through social networks using interperspectival network analysis and second-order connectivity.
Streams, broadcasts, and replays terminal sessions using libghostty-vt, asciinema, and web-based terminal tools.
Builds production-grade multi-agent systems, AgentOS runtimes, and MCP server integrations for advanced agentic AI development.
Performs semantic diffing and triadic verification on Model Context Protocol (MCP) specifications to detect breaking changes and validate compliance.
Coordinates complex, cross-domain debugging investigations by spawning specialized expert agents to identify root causes across full-stack architectures.
Calculates precise legal limitation periods and filing deadlines under the Indian Limitation Act 1963.
Sonify deterministic color streams and data patterns using mathematical category theory and Mazzola's Topos of Music.
Automates the creation of isolated, Docker-based lab environments for deep technical learning and hands-on backend practice.
Explores DuckDB and DuckLake schemas using ergodic random walks and triadic agent coordination to ensure full data reachability.
Optimizes developer flow state and shipping velocity by tracking real-time productivity metrics and mitigating engineering bottlenecks.
Automates the capture and analysis of browser console, network, and performance logs to streamline AI-led web application debugging.
Implements Darwin Gödel Machine patterns to enable autonomous, self-improving AI agent architectures through open-ended evolution and lifelong learning.
Automates large-scale document processing and entity extraction using investigative journalism methodologies.
Discovers mathematical theorems and proof patterns by integrating spectral gap analysis with random walk theory.
Visualizes and verifies formal Lean 4 proofs by transforming abstract code into intuitive, paper-like proof trees.
Develops modern Shopify themes using Online Store 2.0 architecture, JSON templates, and modular Liquid sections.
Provides comprehensive access to the Org-mode manual for advanced document structuring, task management, and topological organization.
Transforms complex datasets into immersive auditory experiences using the Erie sonification grammar and multi-agent collaboration.
Streamlines academic research by searching scholarly databases, extracting metadata from identifiers, and generating validated BibTeX entries.
Greets users with a welcoming, standardized message to demonstrate basic interaction capabilities within Claude Code.
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