Coding & Development

agent-skills is a repository designed to equip AI coding assistants with expert-level WordPress knowledge. It comprises portable bundles of instructions, checklists, and scripts that guide AI assistants (such as Claude, Copilot, Codex, and Cursor) in understanding WordPress development patterns, avoiding common pitfalls, and adhering to best practices. The skills cover various aspects of WordPress development, including Gutenberg blocks, block themes, plugin development, REST API, interactivity API, and performance optimization. These skills were generated using advanced AI models and then reviewed and refined by WordPress contributors, ensuring accuracy and relevance. The tool aims to address issues like AI assistants generating outdated WordPress patterns or missing critical security considerations.

Rocketnotes is a versatile, AI-powered markdown editor designed to enhance document creation and management. It integrates advanced LLM capabilities, allowing users to chat with their documents, receive copilot-like text completions, and utilize voice-to-text transcriptions for efficient note-taking. The tool supports hierarchical document organization with drag-and-drop functionality, code syntax highlighting, and embedding of mathematical formulas (Katex) and diagrams (Mermaid). A standout feature is its Zettelkasten with agentic archiving, where an AI agent intelligently files snippets into relevant existing documents. Users can choose between 100% local operation via Docker and Ollama for privacy, or cloud-based deployment, with multi-LLM support including OpenAI, Anthropic, and Together AI models. It also offers semantic search, document sharing, and a Neovim plugin for integrated note-taking.

Olvy is designed for product teams to efficiently manage user feedback, accelerating product development. It unifies customer feedback from various sources like Slack, Discord, Twitter, Telegram, Play Store, user interviews, and surveys into a single workspace. Leveraging state-of-the-art AI, Olvy automates the process of turning raw feedback into actionable insights. Key features include an AI Auto Listener Agent that intelligently identifies genuine feedback, AI-powered analysis for sentiment and thematic understanding, and tools to ask questions of qualitative data. It also offers integrations with CRMs and Zapier, and provides AI-generated reports and summaries to empower data-driven decision-making.

Doclific is an open-source internal documentation tool designed to help developers and teams create beautiful, maintainable technical documentation directly within their codebase. It provides a Notion-like rich text editor supporting headings, lists, and code blocks, alongside powerful features like ERD diagramming and interactive whiteboarding for architecture designs. A key differentiator is its AI integration, which automatically adds documentation skills to Cursor and Claude AI assistants, enabling AI-powered documentation creation and editing. Doclific runs entirely on your machine, ensuring speed and data privacy, and allows for smart code snippets that automatically update with git changes, preventing scattered and outdated documentation.

apple-docs-mcp functions as a Model Context Protocol (MCP) server, specifically designed to integrate Apple Developer Documentation with AI assistants such as Claude, Cursor, VS Code, Windsurf, Zed, Cline, and Amazon A Developer CLI. It offers intelligent search across various Apple frameworks like SwiftUI, UIKit, Foundation, and ARKit, providing full access to Apple's JSON API for documentation, Swift/Objective-C APIs, and WWDC videos with transcripts. Developers can explore framework indexes, technology catalogs, and sample code libraries, making it an invaluable resource for AI-powered development environments. The tool also tracks documentation updates, beta APIs, and platform compatibility, enhancing the efficiency of accessing Apple's extensive developer resources.

Userdoc is an AI-powered platform designed to revolutionize software requirements and documentation. It enables modern teams to move faster and build better software by streamlining the creation of user stories, epics, non-functional requirements, acceptance criteria, and technical specifications. The tool can also reverse-engineer existing codebases into crystal clear functional specs, saving hours of manual documentation. Userdoc supports full change tracking, similar to Git for requirements, and helps surface forgotten knowledge within legacy systems. It also assists in creating AI development plans, coding standards, and integrates with AI code editors, ensuring AI coding agents build the right thing and stay on track. Userdoc is SOC2 Type II Compliant, ensuring enterprise-grade security.

WRITER is an enterprise AI platform designed to empower large organizations to scale agentic workflows with control and compliance. It enables teams to build, activate, and supervise AI agents grounded in company data and fueled by WRITER’s enterprise-grade LLMs. The platform helps ensure all content is on-brand and compliant, transforming important business processes for the AI era. Key features include WRITER Agent for delegating tasks, AI Studio for integrating with existing IT systems, and a Knowledge Graph for embedding company context and standards. WRITER offers solutions for various industries and departments, focusing on measurable outcomes and streamlined IT approvals.

ProjIntel.ai is an AI-powered project intelligence platform designed for engineering teams, offering a comprehensive solution to information fragmentation and knowledge loss in software projects. It acts as a collective memory and documentation brain, connecting features, documentation, code snippets, issues, tasks, and commit history into one intelligent, searchable hub. Key features include an AI chat interface for instant answers, codebase embedding for deep analysis, and a real-time project status dashboard. The platform also provides AI-driven risk analysis to identify bottlenecks and technical debt, semantic search capabilities, and multi-format support for various documents and code repositories. It integrates seamlessly with tools like Jira, GitHub, GitLab, Bitbucket, Trello, Asana, and Notion, aiming to save time, preserve knowledge, and accelerate onboarding for new team members.

openai-quickstart is an open-source project designed as a comprehensive guide for understanding and implementing large language models (LLMs) with practical examples using LangChain for Generative AI applications. It serves as a one-stop learning resource, covering theoretical foundations, development basics, and hands-on examples. The project delves into the internal workings of LLMs like BERT and GPT series, including their architecture and training methods. It also provides quick-start guides for OpenAI's Embedding, GPT-3.5, and GPT-4 models, along with best practices for function calling and ChatGPT plugins. Users can learn to develop GenAI applications such as AutoGPT, RAG-chatbot, and machine translation through instances and tutorials. Additionally, it covers the LLM technology stack, including data privacy, GPU selection, Hugging Face, and ChatGLM usage.

video2docs is an AI-powered tool designed to streamline the creation of technical documentation from app walkthrough videos. It automatically converts video content into structured documentation, eliminating the need for manual transcription or audio narration. This tool is particularly useful for developers, product managers, and technical writers who need to quickly generate how-to guides, tutorials, or user manuals. Its key differentiator is the ability to function without audio, relying solely on visual cues from the video. The platform is web-based, requiring no software installations or browser extensions, making it accessible and easy to integrate into existing workflows for efficient documentation automation.

TestScribe AI is an innovative SaaS application that leverages artificial intelligence to revolutionize the documentation process for software teams. It automates the creation of comprehensive test plans, technical documentation, and support guides, allowing engineers to focus on building and testing software. The platform boasts hyper-accelerated delivery, generating complete documents in minutes, and ensures consistent accuracy by analyzing application context to uncover potential edge cases. Users maintain complete specification control, with seamless editing and integration into existing workflows. Key features include app management, test flow generation from screenshots, and AI-powered support and developer documentation. TestScribe AI aims to significantly reduce the time and cost associated with manual documentation.

The Preset AI empowers photographers to elevate their photo editing instantly through a wide range of versatile Lightroom presets and custom brushes. Designed for all photography styles, from portraits to landscapes and lifestyle, the tool simplifies the editing process, saving users time while enhancing image quality to a professional level. It caters to both hobbyists and professionals, providing meticulously designed presets for stunning results and user-friendly products. The platform also offers image editing techniques and photography resources, aiming to transform photography with quick and brilliant enhancements.

Haladir is an operational AI layer designed for global logistics, specifically targeting 3PLs and distributors. It unifies data from diverse systems such as WMS, TMS, YMS, OMS, LMS, IMS, ERP, WOS, EDI, and WCS/WES into a single queryable operational graph. The platform deploys event-driven AI agents with execution authority to automate tasks like releasing fulfillment waves, directing picking and packing, assigning docks, and resolving exceptions. Furthermore, Haladir embeds solver-grade optimization and machine learning capabilities, including vehicle routing, multi-echelon inventory optimization, mixed-integer programming, demand forecasting, ETA prediction, pick-path optimization, labor forecasting, and shift scheduling, directly into core operations.

Git Digest is an AI-powered code reporting tool designed to transform how development teams manage and understand their codebase. It automates the generation of comprehensive code change summaries, delivering them directly to team leaders and founders via email or Slack notifications. By leveraging advanced AI and natural language processing, Git Digest analyzes code changes, categorizes them, and surfaces critical insights, effectively replacing traditional daily standups. This approach saves valuable development time, improves team alignment, and bridges the communication gap between technical and business stakeholders. The tool also offers analytics and velocity trends, multi-user organization accounts, and seamless integration with GitHub, making it suitable for teams of any size looking to boost productivity and streamline their development workflow.

Bootcamp is an open-source resource designed to help developers master Milvus, a vector database, through an interactive learning journey. It offers a comprehensive collection of tutorials and demos that guide users through diverse Milvus use cases, including Retrieval-Augmented Generation (RAG), Semantic Search, Hybrid Search, and Recommendation Systems. The platform enables users to build their own demos to see Milvus in action and discover how it integrates with other tools and frameworks. Bootcamp also provides evaluation methods to test and optimize applications, making it an invaluable tool for enhancing projects with seamless integration and optimization. It supports a wide range of unstructured data applications such as reverse image search, audio search, molecular search, video analysis, question and answer systems, and natural language processing.

Clueso is an AI-powered platform designed to streamline the creation of product videos, documentation, and training content. It takes raw screen recordings and uses AI to enhance them into polished videos with features like perfect video scripts, lifelike AI voiceovers, smart auto-zooms, and beautiful captions. Beyond video, Clueso can automatically generate step-by-step articles and how-to guides from your video content, complete with built-in screenshot editing and GIF conversion. The tool supports branding with customizable templates and offers translation into over 40 languages, making it ideal for global teams. Clueso significantly reduces production time, allowing users to create high-quality content in a fraction of the time traditionally required.

Planr is an AI-powered system design tool that streamlines the process of turning initial concepts into professional, detailed system designs. It acts as a comprehensive platform for creating, storing, and exporting all your system designs, making them ready for use with various building tools. Planr facilitates natural conversations about your ideas and requirements, asking pertinent questions to refine understanding and offer suitable options. It generates a core system design, which can then be viewed and managed on a FreeStyle Canvas, allowing for feature editing, creation, and removal. Users can further expand on each feature in detail and export complete or partial designs, providing AI building tools with necessary context for development. All designs are stored in a dedicated directory for easy access.

Stenography is an AI-powered code processing tool designed to enhance developer productivity and code security. It offers features such as automatically populated documentation explanations, making it easier for developers to understand and maintain codebases. The tool also provides Stack Overflow search suggestions directly within the development environment, streamlining the problem-solving process. Available through a Chrome Extension and API access, Stenography aims to integrate seamlessly into existing workflows. It offers tiered pricing plans based on the number of invocations, catering to individual developers and teams, with an emphasis on maintaining code privacy and offering early access to new features.

elasticsearch-labs is a comprehensive GitHub repository offering executable Python notebooks, sample applications, and resources for leveraging the Elastic platform in search and AI applications. It guides users on employing Elasticsearch as a vector database for storing embeddings and powering advanced search experiences like hybrid and semantic search. The repository supports building use cases such as retrieval augmented generation (RAG), summarization, and question answering (QA). It also showcases Elastic's out-of-the-box capabilities like the Elastic Learned Sparse Encoder and reciprocal rank fusion (RRF) for best-in-class results without extensive training. Furthermore, it demonstrates integrations with popular projects like OpenAI, Hugging Face, and LangChain, positioning Elasticsearch as a robust backbone for LLM-powered applications.

Ticketify v5 is an AI-powered tool designed for developers to instantly generate professional project management tickets. It converts plain text ideas, bug reports, or feature requests into structured tickets suitable for platforms such as Jira, Linear, Trello, and Asana. Users can select ticket types (Bug, Task, Story, Epic) and customize output parameters like formality, technical detail, text volume, and urgency. The tool utilizes state-of-the-art large language models fine-tuned for software development contexts, aiming to eliminate manual overhead and bring clarity to development workflows. While currently generating plain text for easy copy-pasting, direct API integrations are actively being developed.

SchemeFlow is an AI system specifically designed for professional-grade engineering applications, focusing on infrastructure. It aims to significantly accelerate the creation of engineering reports, thereby saving both time and cost for civil engineering and environmental companies. By leveraging artificial intelligence, SchemeFlow streamlines the technical delivery process, allowing engineers to produce high-quality reports more efficiently. This tool is built to enhance productivity and reduce operational expenses within the engineering sector, providing a specialized solution for report generation and technical documentation.

Lenify is an AI-powered desktop development suite designed to streamline the entire software development lifecycle. It provides a robust IDE with capabilities for building, deploying, and collaborating on projects. The suite offers intelligent code completion, real-time collaboration features, and seamless Git integration to enhance productivity. Developers can work with various technologies including React, Node.js, and Python. Lenify aims to provide a comprehensive environment for modern web development, offering project templates and terminal integration within its desktop application. It is available across Windows, macOS, and Linux, making it a versatile tool for a wide range of developers.

i18nlocale is an AI-powered translation tool designed to simplify the localization of applications. It leverages artificial intelligence to translate application content into more than 200 languages, making it suitable for global deployment. The tool supports a range of common file formats, including JSON, YAML, and JavaScript/TypeScript, ensuring compatibility with diverse development workflows. A key differentiator is its focus on data security, as it keeps all translation files on the user's local device, preventing sensitive information from being uploaded to external servers. This approach enhances privacy and control over proprietary application content during the localization process.

Lingo.dev, formerly Replexica, is a localization engineering platform designed for teams to manage and automate their translation workflows. It enables the configuration of localization engines that maintain glossaries, brand voice, and per-locale model chains, ensuring terminology consistency across every locale and release. The platform supports calling these engines from backend code, CLI, CI/CD, or MCP, integrating localization directly into the development process. Key features include Retrieval Augmented Localization (RAL) to re-localize only changed content with context, professional localization infrastructure with steps like source refinement, context enrichment, LLM translation, and optional human post-editing. It also offers automated quality scoring, glossary enforcement, and human review when needed, providing measurable quality metrics.