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This project is a library of prompt-based skill definitions and functional extensions for AI assistants. It provides a system for automating product management tasks and strategic workflows by integrating specialized capabilities into coding agents and command line interfaces.
The main features of phuryn/pm-skills are: Agent Skill Definitions, AI Product Management Automations, AI Product Management, AI Assistants, Universal Interfaces, Assistant Skill Integrations, LLM Skill Repositories, Automated Management Workflows.
Projects with overlapping indexed features include: deanpeters/product-manager-skills — This project is a collection of standardized knowledge bases and competency models that define professional… datawhalechina/vibe-vibe — vibe-vibe is an LLM agent engineering framework and toolchain optimizer designed for orchestrating multi-agent… easychen/lean-side-bussiness — This project is a comprehensive software entrepreneurship curriculum and solopreneurship business playbook designed… voltagent/awesome-claude-code-subagents — This project provides a framework for managing multi-agent systems, designed to automate complex software development,… tlbootcamp/tlroadmap — tlroadmap is an engineering leadership roadmap and management curriculum designed to guide the transition from… garrytan/gstack — gstack is an AI agent framework and development workflow system designed to automate the software development…
This project is a collection of standardized knowledge bases and competency models that define professional methodologies for product management practitioners and artificial intelligence agents. It provides a structured framework of professional skills and knowledge to ensure a consistent level of output quality across product discovery, strategy, and stakeholder alignment. The repository focuses on specialized frameworks for large language model product management, including guidelines for assessing artificial intelligence readiness, context engineering, and the orchestration of multi-agent
vibe-vibe is an LLM agent engineering framework and toolchain optimizer designed for orchestrating multi-agent systems. It serves as a comprehensive guide and methodology for transforming conceptual ideas into deployed applications through agentic software engineering. The project focuses on the orchestration of specialized AI agent roles with defined collaboration boundaries and iterative feedback loops. It provides frameworks for toolchain optimization, including the selection and evaluation of protocols that extend model capabilities and the design of standardized tool interfaces. The sys
This project is a comprehensive software entrepreneurship curriculum and solopreneurship business playbook designed for developers. It provides a strategic framework for building, validating, and monetizing side businesses using lean startup methodology and a systematic product development approach. The project distinguishes itself by offering specific guides for digital monetization and career anti-fragility, helping software engineers transition from employment to self-employment. It focuses on turning technical skills into scalable digital assets, paid communities, and independent software
This project provides a framework for managing multi-agent systems, designed to automate complex software development, infrastructure, and business workflows. It functions as a multi-agent workflow orchestrator that routes tasks to domain-specific workers while maintaining state persistence and infrastructure automation. By leveraging large language models, the system decomposes high-level objectives into actionable plans, ensuring that complex operations are executed with consistency and reliability. The framework distinguishes itself through its hierarchical agent registry and policy-driven