AI 에이전트 기능을 확장하는 Claude 스킬의 전체 컬렉션을 살펴보세요.
Deploys Juicebox integrations to production cloud environments using standardized infrastructure-as-code and secret management patterns.
Initializes a standardized project structure for financial underwriting and quant development using the DRIVER methodology.
Creates distinctive, production-grade frontend interfaces with high-quality aesthetics that avoid generic AI-generated looks.
Captures and retrieves durable project-specific knowledge to prevent context loss and build institutional memory within Claude Code.
Monitors and verifies active Neovim instances, socket paths, and connection status for seamless editor integration.
Architects and implements production-grade Supabase solutions including advanced PostgreSQL RLS, Auth flows, and Edge Functions.
Implements defense-in-depth Kubernetes security through network isolation, RBAC enforcement, and pod security standards.
Enforces strict type safety principles in TypeScript and Python by eliminating the use of any/Any types and implementing robust type guards.
Orchestrates complex development workflows by intelligently routing ambiguous user requests to the most appropriate specialized skills.
Monitors project progress and recommends next steps for financial engineering workflows.
Lists all active Neovim instances across your system with project directories and process details.
Provides comprehensive visibility into the current development environment by aggregating directory paths, Git status, and active Neovim instances.
Guides the initial discovery and definition phase of financial engineering projects through integrated research and vision alignment.
Synchronizes SpecWeave specifications and increments with JIRA Epics, stories, and subtasks to ensure seamless project management and traceability.
Manages and updates session tracking preferences, including prompt verbosity, source logging, and export locations.
Automates complex time-series forecasting pipelines including trend analysis, seasonality detection, and multi-model predictions.
Optimizes Clay API integrations through advanced caching, request batching, and connection pooling strategies.
Restores development context and progress from previous Claude Code sessions to ensure seamless workflow continuity.
Guides the creation of high-quality programming tutorials and educational content using established pedagogical principles and code-first learning strategies.
Facilitates structured, multi-stage analytical thinking and qualitative research synthesis through explicit step-by-step reasoning sequences.
Generates interactive, publication-quality Python charts and dashboards for data exploration and presentation.
Automates the continuous improvement of Claude Code skills by analyzing telemetry patterns and applying performance-enhancing updates.
Benchmarks and validates Nablarch-specific AI skills using isolated sub-agent execution to ensure high-precision performance and regression detection.
Automates the logical restructuring of local directories and removes file clutter using context-aware analysis.
Automates the generation and quality assurance of single-page web applications based on design specifications.
Drafts competitive research proposals for major funding agencies including NSF, NIH, DOE, and DARPA with agency-specific compliance.
Automatically generates and maintains a comprehensive documentation catalog of active Model Context Protocol (MCP) tools and servers.
Automates hyperparameter tuning and model selection using intelligent search strategies like Bayesian optimization.
Optimizes Perplexity API integrations through automated load testing, Kubernetes auto-scaling, and capacity planning.
Generates formatted bibliographies, methodology reports, and development timelines from tracked Claude activity and sources.
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