retentioneering-tools
✅ Recently maintainedPython 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
Python · Apache-2.0 · Last push 2026-11-02
Official repository & installation ↗🧩 Skills in this repository
Uses are declared in source documents. Stars and maintenance belong to the parent repository. Check host, dependency and licensing requirements.
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 workaround worth upstreaming, or asks how to contribute, open an issue, or make a PR to retentioneering-tools.
.agents/skills/retentioneering-contributing/SKILL.md · Apache-2.0 · 2026-11-03Requires a git checkout of retentioneering-tools, Python >= 3.11 with uv, and Node.js only when JS/widget code is touched. The gh CLI is optional but recommended for PR submission.
License source ↗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 paths.
.agents/skills/retentioneering-product-analytics/SKILL.md · Apache-2.0 · 2026-11-03Requires Python >= 3.11 and Retentioneering 5.x. Designed for local CSV, Parquet, and pandas event logs. Network access is not required for local analysis.
License source ↗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 workaround worth upstreaming, or asks how to contribute, open an issue, or make a PR to retentioneering-tools.
.claude/skills/retentioneering-contributing/SKILL.md · Apache-2.0 · 2026-11-03Requires a git checkout of retentioneering-tools, Python >= 3.11 with uv, and Node.js only when JS/widget code is touched. The gh CLI is optional but recommended for PR submission.
License source ↗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 paths.
.claude/skills/retentioneering-product-analytics/SKILL.md · Apache-2.0 · 2026-11-03Requires Python >= 3.11 and Retentioneering 5.x. Designed for local CSV, Parquet, and pandas event logs. Network access is not required for local analysis.
License source ↗GitValue · Value evidence
Unscored · Evidence coverage 0%
Provisional rubric; documentation and runtime testing are separate. Missing evidence does not imply low value.
Star history
View historical data
| Date | Stars |
|---|---|
| 2026-10-05 | 920 |
| 2026-10-06 | 920 |
| 2026-10-07 | 920 |
| 2026-10-08 | 925 |
| 2026-10-09 | 927 |
| 2026-10-10 | 929 |
| 2026-10-11 | 930 |
| 2026-10-12 | 931 |
| 2026-10-13 | 932 |
| 2026-10-14 | 933 |
| 2026-10-15 | 933 |
| 2026-10-16 | 934 |
| 2026-10-17 | 934 |
| 2026-10-18 | 934 |
| 2026-10-19 | 935 |
| 2026-10-20 | 935 |
| 2026-10-21 | 936 |
| 2026-10-22 | 936 |
| 2026-10-23 | 937 |
| 2026-10-24 | 938 |
| 2026-10-25 | 939 |
| 2026-10-26 | 941 |
| 2026-10-27 | 942 |
| 2026-10-28 | 942 |
| 2026-10-29 | 943 |
| 2026-10-30 | 943 |
| 2026-10-31 | 943 |
| 2026-11-01 | 943 |
| 2026-11-02 | 943 |
| 2026-11-03 | 943 |
Get the project
git clone https://github.com/retentioneering/retentioneering-tools.gitCloning downloads the source. For dependencies and installation, follow the project README.
Related projects & alternative candidates
Related domains do not imply feature parity. Review official documentation and licenses.
Anthropic's public Agent Skills repo with Python examples showing how to give agents reusable skills.
★ 186,874ponytailMakes AI coding agents think like a lazy senior dev, favoring YAGNI: the best code is code you never wrote.
★ 183,091awesome-llm-appsA collection of over 100 open-source AI agent and RAG app examples for reference.
★ 143,779