Skip to content
store
prioritization-frameworks

Self-hosted alternatives to prioritization-frameworks

5 self-hosted AI Skills apps to use instead, best rated first.

Top picks

  1. C

    claude-to-deerflow

    Get

    claude-to-deerflow is an agent skill that lets an assistant send messages and questions to a running DeerFlow instance through its HTTP API. DeerFlow is an AI agent platform built on LangGraph that orchestrates sub-agents for research, code

    Self-hosted

  2. O

    open-notebook

    Get

    open-notebook is an agent skill for organising research with Open Notebook, a self-hosted alternative to NotebookLM. It arranges sources, notes and AI conversations into research notebooks. Sources can be PDFs, web pages, audio, video and O

    Self-hosted

  3. R

    Reactive Resume

    Get

    Reactive Resume is a free and open-source resume builder for writing resumes and cover letters, checking the work, and tracking job applications. You create a free account, import an existing resume or start from scratch, and see the finish

    Open sourceSelf-hosted

  4. S

    self-hosted-funnel-launch

    Get

    Self-hosted funnel launch is an agent skill that takes a funnel from an empty install to published on infrastructure you control, using the Autonnel funnel builder, which is licensed Apache-2.0. The result covers a landing page, checkout, a

    Self-hosted

  5. G

    get-convex/convex-backend

    Get

    Convex is an open-source reactive database for web app developers. It combines a database, a place to write server functions in pure TypeScript, and client libraries that keep the app's data live, so screens update as the data changes. Beca

    Self-hosted

About prioritization-frameworks

P

prioritization-frameworks

Reference guide to 9 prioritization frameworks

prioritization-frameworks is a reference guide to nine prioritization frameworks, with their formulas, guidance on when to use each one, and templates. The frameworks include RICE, ICE, Kano, MoSCoW and Opportunity Score, among others. Its core principle is that a team should never let customers design solutions, and should prioritize problems or opportunities rather than features. For the Opportunity Score, which the guide recommends for prioritizing customer problems, the team surveys customers on the importance and satisfaction of each need, normalized to a zero to one scale, and uses formulas such as current value, which is importance multiplied by satisfaction, and the opportunity score, which is importance multiplied by one minus satisfaction. The guide helps you choose the right framework for your situation. It is useful when a team cannot agree on what to build next, or when it wants a consistent method. The skill is part of the pm-skills collection by phuryn and is listed on skills.sh as free.

View prioritization-frameworksAll AI Skills apps
Price
Free
Made by
phuryn
Category
AI Skills
Website
github.com/phuryn/pm-skills/prioritization-frameworks