Explorar Todas las Habilidades de Claude
Explora nuestra colección completa de Habilidades de Claude que extienden las capacidades de los agentes de IA.
Test Fixture Path Manager
Configures and manages custom directory paths for test fixtures to streamline automated testing workflows.
HuLa Full-Stack Development
Accelerates cross-platform application development for the HuLa IM project using Rust, Vue 3, and Tauri v2.
Obsidian Bases Manager
Generates and manages dynamic database-style views within Obsidian vaults using .base files and YAML configurations.
JSON Canvas for Obsidian
Generates and modifies visual JSON Canvas files for Obsidian to create mind maps, flowcharts, and organized research boards.
Obsidian Flavored Markdown
Generates and edits content using Obsidian-specific syntax including wikilinks, callouts, Mermaid diagrams, and YAML properties.
Rowan: Quantum Chemistry & Molecular Simulation
Automates advanced quantum chemistry workflows and protein-ligand modeling using a cloud-based Python API.
ISO 13485 Documentation Assistant
Simplifies the ISO 13485 certification process by providing gap analysis tools, mandatory procedure templates, and comprehensive QMS documentation guidance for medical device manufacturers.
K-Dense Web Integration
Connects Claude to the K-Dense Web platform for advanced, end-to-end scientific research workflows and multi-agent AI collaboration.
MATLAB & Octave Scientific Computing
Performs advanced numerical computing, matrix operations, and scientific visualizations using MATLAB and GNU Octave syntax.
GraphQL Architecture & Optimization
Architects secure, high-performance GraphQL APIs with a focus on type safety, N+1 query prevention, and robust schema design.
Beads
Manages complex, multi-session coding tasks using a graph-based issue tracker to maintain persistent context across conversation compaction cycles.
Data Layer Architecture Management
Standardizes the implementation of data fetching, caching, and storage patterns for complex Next.js applications.
QMD Markdown Knowledge Search
Searches personal markdown knowledge bases and documentation using a local hybrid search engine combining BM25 and vector semantic search.
Atomic Agents Configuration
Orchestrates and configures modular, structured AI agents using the Atomic Agents framework for robust LLM applications.
Atomic Agents Context Providers
Injects dynamic, runtime data into AI agent system prompts to enable context-aware decision making and information sharing.
Atomic Prompt Design
Generates structured, effective system prompts for AI agents using a modular architecture of background identity, processing steps, and output instructions.
Atomic Agents Schema Designer
Defines robust, type-safe data contracts and Pydantic-based schemas for AI agents using the Atomic Agents framework.
Atomic Agents Release Manager
Automates the end-to-end release lifecycle for atomic-agents, including version bumping, PyPI publishing, and GitHub release generation.
Atomic Agents Tool Development
Simplifies the creation, configuration, and orchestration of robust, schema-driven tools for Atomic Agents applications.
Atomic Agents Project Structure
Scaffolds and organizes modular AI agent projects using standardized directory layouts and configuration patterns.
LLM Project Methodology
Guides the end-to-end development of LLM-powered applications, from task evaluation and pipeline design to cost estimation and agent architecture.
Context Optimization Expert
Optimizes LLM context windows through strategic compaction, observation masking, and partitioning to reduce token costs and improve agent performance.
Multi-Agent Architecture Patterns
Designs and implements robust multi-agent systems using supervisor, swarm, and hierarchical patterns to optimize context management and reasoning.
Advanced LLM Evaluation
Implements production-grade LLM-as-a-judge patterns to evaluate model outputs using structured rubrics, bias mitigation, and pairwise comparison techniques.
Context Compression Strategies
Optimizes AI agent performance and token usage by implementing advanced context summarization and management strategies for long-running sessions.
Context Engineering Fundamentals
Master the core principles of AI context management to optimize agent performance and token efficiency.
Context Degradation Diagnostics
Diagnoses and mitigates performance failures in agentic systems caused by large context windows, attention loss, and information noise.
BDI Mental State Modeling
Transforms external RDF context into agent mental states to enable cognitive reasoning, explainability, and semantic interoperability in multi-agent systems.
Agent Performance Evaluation
Measures and optimizes AI agent performance through multi-dimensional rubrics, LLM-as-judge methodologies, and robust testing frameworks.
Agent Memory Systems
Implements sophisticated multi-layer memory architectures for AI agents to persist state, track entities, and maintain temporal knowledge across sessions.
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