30 open-source projects similar to atxp-dev/atxp, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Atxp alternative.
Agent-skills is a collection of structured instructions and behavioral personas designed to standardize how AI coding agents perform engineering tasks. It functions as a workflow orchestrator that maps natural language intent to repeatable technical sequences and verification checklists. The project distinguishes itself through the use of specialized markdown-defined roles, such as security auditors or test engineers, to apply targeted domain expertise. It employs an evidence-based verification model that requires runtime data or passing tests as mandatory exit criteria to ensure AI-generated
Ilya Sutskever的认知操作系统。不是语录合集,是可运行的思维框架。
乔布斯.skill — Steve Jobs的认知操作系统。6个心智模型 8条决策启发式 完整表达DNA。由女娲.skill生成。
This project provides a standardized framework for extending the functional range of artificial intelligence agents through a registry of modular, declarative instructions. It enables agentic workflow automation by allowing developers to define task-specific behaviors and operational constraints that guide how agents interact with external tools and execute multi-step processes. The system distinguishes itself through a directory-based discovery model and a plugin-registry architecture that facilitates the distribution of specialized workflows. By utilizing a schema-driven specification that
A plugin marketplace for Claude Code. Install only the plugins you need to run git workflows, code review, spec-driven development, and autonomous agents from inside your Claude Code session.
This project serves as a centralized directory and resource hub for extending the functional capabilities of AI agents. It provides a structured collection of tools and integration patterns that enable large language models to interact with external software platforms, facilitating autonomous task execution and data retrieval across a wide range of business applications. The repository distinguishes itself by standardizing communication between AI models and external services through the Model Context Protocol. It utilizes declarative skill manifests and machine-readable tool-calling schemas
Northstar: AI-powered daily business briefing skill for OpenClaw/ClawHub
PM skill for Claude Code, Codex, Cursor, and Windsurf: diagnose SaaS metrics, critique PRDs, plan roadmaps, run discovery, and coach PM career transitions.
gstack is an AI agent framework and development workflow system designed to automate the software development lifecycle. It coordinates specialized AI personas to manage tasks across product design, engineering management, and quality assurance, transforming product intent into technical specifications and final releases. The project is distinguished by its deep integration of headless browser automation and semantic code memory. It utilizes a persistent Chromium daemon for web scraping and visual auditing, and implements a searchable knowledge base that logs architectural decisions and repos
Open-source Claude skills for GEO, AI discoverability, and developer GTM workflows. Built for developer-focused companies that want their documentation to be found, parsed, and cited by AI systems.
This project is an automation suite comprising an AI visual asset generator, a browser-based social publisher, an Electron resource extractor, and a Markdown content transformer. It functions as a content automation pipeline that uses large language models to generate text and images for distribution across social media platforms. The system distinguishes itself through specialized visual generation capabilities, producing professional infographics, slide decks, educational comics, and SVG diagrams via structured prompts. It also features a dedicated workflow for extracting resources from Ele
This project is a scientific agent framework and workflow orchestrator designed to extend large language models with specialized tools for genomic, chemical, and biological research. It provides a system for planning research hypotheses and executing automated workflows by integrating scientific databases with dynamic code execution. The framework includes a cheminformatics modeling suite for predicting molecular bioactivity and performing virtual screening, alongside a bioinformatics analysis toolkit for processing genomic sequences and single-cell data. It also features an academic document
LinkedIn automation skills for AI agents – sales, social selling, data extraction, and more.
Cognitive wellness infrastructure for AI agents.
ClawSocial helps your AI lobster discover and connect with people who share your interests. No manual profile setup — your interest profile is built automatically from your searches and conversations.
This project is a framework for packaging and installing standardized capabilities, scripts, and instructions that LLM agents execute to perform complex tasks. It functions as a tool orchestrator and skill framework, bundling instructions and resources into portable formats that agents discover and use for repeatable workflows. The system distinguishes itself through a manifest-driven discovery process, allowing agents to identify available capabilities and their execution parameters. It supports the deployment of these modular capability sets into isolated runtime environments using remote U