Explorar Todas las Habilidades de Claude

TanStack Start Full-Stack Development

Accelerates full-stack React development using TanStack Start for server functions, file-based routing, and Cloudflare Workers deployment.

Lightfriend Yew Page Creator

Streamlines the creation of new WebAssembly frontend pages and routing within the Lightfriend Yew framework.

Skill Assessor

Orchestrates multi-agent evaluations of newly created Claude Code skills to determine optimal auto-trigger configurations based on safety, frequency, and token efficiency.

Xcode & iOS MCP Configuration

Streamlines iOS development workflows by configuring Model Context Protocol (MCP) session defaults for Xcode projects and simulators.

React Native Animations Expert

Implements high-performance mobile animations using Reanimated 3 and Gesture Handler to create fluid, 60fps user experiences.

AgentDB Performance Optimization

Optimizes AgentDB vector databases through quantization, HNSW indexing, and advanced caching to maximize search speed and minimize memory overhead.

Coolify Deployment

Deploys applications to Coolify using best practices to ensure zero-downtime releases and production stability.

Coolify Deployment

Deploys applications to Coolify using systematic best practices and verification checklists to ensure zero-downtime production stability.

Coolify Deployment Expert

Automates and manages high-reliability deployments to Coolify while enforcing industry best practices for production stability.

Advanced Swarm Orchestration

Orchestrates multi-agent swarms for distributed research, full-stack development, and automated testing using the Claude Flow framework.

Prompt Refinement TCRO

Transforms vague user inputs into structured, high-performance prompts using the TCRO framework and phase-specific clarification.

Text Cleanup & Slop Removal

Removes AI-generated verbosity, conversational fillers, and redundant comments to improve information density and clarity.

Text Cleanup & Slop Removal

Removes AI-generated verbosity, conversational filler, and redundant code comments to improve information density.

Differential TAD Analysis

Performs differential topologically associating domain (TAD) analysis to identify significant chromatin architecture changes between experimental conditions using HiCExplorer.

Incentive Prompting

Boosts AI response quality by 45-115% using research-backed incentive framing and expert persona techniques.

Continuous Development Loop (Ralph Wiggum)

Automates repetitive development tasks through a continuous iteration loop with objective completion criteria and safety caps.

Flow Nexus Swarm Orchestrator

Orchestrates complex AI agent swarms and event-driven workflows using the Flow Nexus cloud platform.

GitHub User Explorer

Retrieves comprehensive GitHub user and organization profile data including repository counts, follower statistics, and account metadata.

Coder Memory Store

Captures and retrieves hard-won coding patterns and architectural lessons in a persistent vector database.

GitHub Multi-Repo Orchestrator

Automates cross-repository synchronization, dependency alignment, and architectural standardization using AI swarm orchestration.

Prompt Refinement & TCRO Structuring

Transforms vague user inputs into highly structured, high-performance specifications using the TCRO framework and phase-specific clarification.

Global Methylation Profiling

Performs genome-wide DNA methylation analysis to characterize patterns, genomic feature distributions, and sample similarities from sequencing data.

GitHub Release Management

Automates the entire GitHub release lifecycle using AI swarms for intelligent versioning, multi-platform deployment, and rollback orchestration.

Verification & Quality Assurance

Ensures codebase reliability through automated truth scoring, quality verification, and instant git-based rollback systems.

Code Review

Provides comprehensive guidelines and best practices for conducting high-quality code reviews and writing constructive feedback.

Smart Intent Detection for Rails

Analyzes developer prompts to automatically suggest optimized Rails workflows and route tasks to specialized utility agents.

Hi-C Compartment Shift Analysis

Performs A/B compartment shift analysis between Hi-C samples using PC1 eigenvector values and replicate-aware statistical methods.

Comprehensive Research Orchestrator

Orchestrates multi-phase research across codebases and documentation to provide evidence-backed insights and architectural synthesis.

AI Prompt Refinement & TCRO Structurer

Transforms ambiguous user input into high-precision, structured TCRO prompts to maximize AI output quality and consistency.

Incentive Prompting Optimizer

Enhances AI response quality by 45-115% through research-backed techniques like expert personas and stakes-based framing.