jta
Agentic AI-powered JSON i18n file translator with auto-terminology, format preservation, and incremental updates to streamline global software deployment.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
519 skills found
Agentic AI-powered JSON i18n file translator with auto-terminology, format preservation, and incremental updates to streamline global software deployment.
Python library for geospatial vector data analysis. Perform spatial joins, geometric operations, coordinate transformations, and mapping using GeoPandas, shapely, and interactive tools.
Command-line interface for controlling Bluesound and NAD audio players, enabling multi-room playback, grouping, and volume management.
Securely manage CI/CD secrets with Vault, AWS Secrets Manager, and environment-specific patterns. Prevent credential leakage, implement rotation, and enforce least-privilege access for pipelines.
Comprehensive reference for GrepAI configuration, detailing the .grepai/config.yaml schema, embedder settings, storage backends, and optimization parameters.
Perform internet searches using the Zhipu AI web search API to retrieve real-time information, news, and current data.
A unified document processing gateway for PDF parsing, text extraction, conversion, and document manipulation across multiple local and cloud providers.
Toolkit for testing local web applications using Playwright, featuring server lifecycle management, automated DOM inspection, and browser automation workflows.
Integrate with REST APIs to manage authentication, execute HTTP requests, and process JSON responses seamlessly within your development workflow.
Expert AWS solution architecture for startups focusing on serverless, scalable, and cost-effective cloud infrastructure with modern DevOps practices and IaC.
Standardized React UI patterns for loading states, error handling, and data fetching to ensure consistent UX and robust component architecture.
Bayesian modeling and probabilistic programming with PyMC. Build hierarchical models, perform MCMC sampling (NUTS), variational inference, and conduct rigorous model comparison using LOO and WAIC.