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user-segmentation

Open source alternatives to user-segmentation

24 open source AI Skills apps to use instead, best rated first.

Top picks

  1. G

    github-ops

    Launch

    github-ops is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It manages a GitHub repository with a focus on community health, CI reliability and the experience of contributors. It covers triaging issues by classify

    Open source

  2. O

    opensource-pipeline

    Launch

    opensource-pipeline is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It prepares a private project for safe public release through a three-stage pipeline. The fork stage strips secrets from a copy. The sanitise st

    Open source

  3. A

    andrej-karpathy-skills

    Launch

    andrej-karpathy-skills is a single CLAUDE.md file from the multica-ai project that is meant to improve how Claude Code behaves on coding tasks. It is derived from Andrej Karpathy's public observations about LLM coding pitfalls. The file dis

    Open source

  4. M

    microsoft/markitdown

    Launch

    markitdown-mcp is the MCP server package for MarkItDown, Microsoft's tool for converting many file formats to Markdown for language models. It is a lightweight server that runs over stdio, Streamable HTTP or SSE, and exposes one tool, conve

    Open source

  5. O

    od-contribute

    Launch

    od-contribute is an agent skill in the OpenDesign project that provides a guided, one-click contribution flow to the OpenDesign repository, written so that people without a coding background can send a real pull request. It is locked to the

    Open source

  6. G

    github-deep-research

    Launch

    github-deep-research is an agent skill from the DeerFlow project that researches a single GitHub repository in several rounds and writes a report in Markdown. It is for requests that need more than a README summary, such as a comprehensive

    Open source

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About user-segmentation

U

user-segmentation

Segment users from feedback data based on behavior, JTBD, and needs

user-segmentation is an agent skill that divides a user base into at least three distinct segments based on behavior and needs, rather than demographics alone. It analyzes diverse user feedback to surface groups that are hidden in a single average, using jobs to be done, behaviors and motivations as the basis for each segment. The skill acts as a behavioral researcher and data analyst, working through the analysis step by step so each segment is justified by the evidence. You provide the feedback data, and the skill returns the segments with their characteristics and what each one needs from the product. It is useful when a team wants to target groups differently, when it suspects that one product is serving several different kinds of customer, or when it is deciding where to focus its strategy. The skill is part of the pm-skills collection by phuryn and is listed on skills.sh as free.

View user-segmentationAll AI Skills apps
Price
Free
Made by
phuryn
Category
AI Skills
Website
github.com/phuryn/pm-skills/user-segmentation