Updated 1d ago
by retentioneering
retentioneering-tools
Python toolkit, MCP server, and agent skills for reproducible, auditable clickstream and event log analytics. Helps AI agents, data scientists and analysts build, validate, and cross-check product analytics, quantitative UX, customer journeys, graph-based user flows, behavioral segmentation, A/B tests, process mining models, Markov chain simulation
933 GitHub stars (933)
+14 in 20 days
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- 2 skills (2 skills found in its SKILL.md files)
- 140 forks (140 forks)
- 1d ago last update (Last updated 1d ago)
Install
Skills CLI
npx skills add retentioneering/retentioneering-tools
Asks which skills and agents to install. Just one: npx skills add retentioneering/retentioneering-tools --skill retentioneering-contributing — add -g for every project.
Claude Code
git clone https://github.com/retentioneering/retentioneering-toolscp -r "retentioneering-tools/.agents/skills/retentioneering-contributing" ~/.claude/skills/
Copies the retentioneering-contributing skill into ~/.claude/skills/ for every project (use .claude/skills/ for one project). Repeat for the other skills listed below.
Plugin
/plugin marketplace add retentioneering/retentioneering-tools
Run inside Claude Code if the repository ships a plugin marketplace, then pick plugins from /plugin.
Skills can run code on your machine — read the SKILL.md first.
What it does
In the author's own words, from each skill's SKILL.md.
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retentioneering-contributing
Help the user turn their Retentioneering ideas, friction reports, bug findings, or feature needs into high-quality upstream contributions: from capturing and validating the idea, through minimal reproductions and issue drafts, to preparing, testing, and submitting a pull request that follows this repository's conventions. Use when the user says they found a bug, wants a feature, wrote a workaroun…
.agents/skills/retentioneering-contributing/SKILL.md on GitHub (opens in a new tab) -
retentioneering-product-analytics
Analyze event logs, clickstreams, user paths, product funnels, retention, behavioral segments, transition graphs, step matrices, sequence patterns, and customer journeys using Retentioneering. Use when the user provides CSV, Parquet, pandas, or database event data containing user, event, and timestamp columns, or asks why users convert, churn, loop, abandon a flow, or follow particular product pa…
.agents/skills/retentioneering-product-analytics/SKILL.md on GitHub (opens in a new tab)
No skill matches that filter.
Review before you install
A skill is a set of instructions and scripts your agent will follow, and it can run code on your machine. Read the SKILL.md and any scripts first — this listing is not a security review.