Explorar Todas las Habilidades de Claude
Explora nuestra colección completa de Habilidades de Claude que extienden las capacidades de los agentes de IA.
Content Marketing & SEO Strategist
Generates SEO-optimized marketing content and maintains brand consistency through automated voice analysis and platform-specific frameworks.
Skill Creator
Guides the development and packaging of new skills that extend Claude's capabilities with specialized knowledge and workflows.
Slack GIF Creator
Creates custom animated GIFs and emojis optimized for Slack using a flexible toolkit of animation primitives and validators.
Skill Creation and Sharing
Creates, validates, packages, and automatically shares new Claude skills with your team on Slack.
Angular Modernization
Automates the transformation of legacy Angular components into modern architectures using official CLI migrations and Bitwarden-specific coding patterns.
GitHub Workflow Automation
Orchestrates advanced GitHub Actions workflows and AI-driven CI/CD pipelines through intelligent swarm coordination and autonomous repository management.
Stream Chain
Executes multi-step agent workflows where each stage's output serves as context for the next to facilitate complex data transformations and sequential task processing.
AgentDB Memory Patterns
Implements high-performance persistent memory and pattern-learning capabilities for stateful AI agents using AgentDB.
GitHub Project Management
Automates GitHub issue tracking, project board synchronization, and agile sprint planning using intelligent multi-agent swarm coordination.
Swarm Orchestration
Orchestrates complex multi-agent systems using advanced coordination patterns, dynamic topologies, and shared memory to handle distributed AI workflows at scale.
Hooks Automation
Coordinates, validates, and optimizes development workflows through automated pre- and post-operation hooks with intelligent state management and pattern learning.
GitHub Code Review
Orchestrates multi-agent code reviews on GitHub to provide deep security, performance, and architectural analysis within pull requests.
AgentDB Vector Search
Provides high-performance semantic vector search and intelligent document retrieval to power RAG systems and semantic search engines.
Hive Mind Advanced
Orchestrates complex multi-agent swarms using hierarchical coordination, consensus-based decision making, and persistent collective memory.
ReasoningBank AgentDB
Implements adaptive learning and experience replay for agents using a high-performance vector database to optimize decision-making over time.
GitHub Release Management
Orchestrates comprehensive software releases using AI swarm coordination for automated versioning, testing, and multi-platform deployment.
Flow Nexus Platform
Orchestrates intelligent agent swarms, manages secure code sandboxes, and handles application deployment within the Flow Nexus ecosystem.
Flow Nexus Swarm
Orchestrates cloud-based AI agent swarms and event-driven workflows for complex, distributed task execution.
Performance Analysis
Identifies performance bottlenecks and generates actionable optimization recommendations for intelligent multi-agent swarms.
ReasoningBank Intelligence
Implements adaptive learning and meta-cognitive capabilities to enable AI agents to recognize patterns and optimize strategies through continuous experience.
AgentDB Performance Optimization
Optimizes AgentDB vector database performance through quantization, HNSW indexing, and advanced caching strategies to reduce memory footprint and search latency.
Verification & Quality Assurance
Ensures codebase reliability and agent output quality through real-time truth scoring, automated verification checks, and instant rollback capabilities.
SPARC Methodology
Implements a structured multi-agent development framework for systematic software engineering from requirements to deployment.
Agentic Jujutsu
Provides quantum-resistant, self-learning version control for AI agents to enable lock-free concurrent development and intelligent multi-agent coordination.
Advanced Swarm Orchestration
Orchestrates sophisticated multi-agent swarms using diverse topologies and strategies for complex research, development, and testing workflows.
AgentDB Learning
Implements and trains reinforcement learning algorithms to create self-improving autonomous agents using the AgentDB plugin system.
AgentDB Advanced Features
Manages high-performance distributed AI database operations with low-latency synchronization, hybrid vector search, and advanced similarity metrics.
Flow Nexus Neural
Trains and deploys custom neural network architectures across distributed sandbox environments.
Pair Programming
Facilitates collaborative AI development through multiple partnership modes, real-time quality monitoring, and integrated testing workflows to improve code quality and developer productivity.
GitHub Multi-Repo Coordination
Orchestrates complex development workflows and maintains consistency across multiple GitHub repositories using AI swarm intelligence.
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