product-analytics SKILL.md skillA
product-analytics from yonatangross/orchestkit is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add yonatangross/orchestkit/product-analytics@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- yonatangross/orchestkit
- Path
src/skills/product-analytics/SKILL.md- Versions recorded
- 5
- Latest version
- v1.0.0, committed Aug 29, 2026
- First version recorded
- Jun 20, 2026
- Size
- 7,181 bytes
- Repository stars
- 299
- License
- MIT
A/B test evaluation, cohort retention analysis, funnel metrics, and experiment-driven product decisions. Use when analyzing experiments, measuring feature adoption, diagnosing conversion drop-offs, or evaluating statistical significance of product changes.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Product Analytics Frameworks for turning raw product data into ship/extend/kill decisions. Covers A/B testing, cohort retention, funnel analysis, and the statistical foundations needed to make those decisions with confidence. ## Quick Reference | Category | Rules | Impact | When to Use | |----------|-------|--------|-------------| | [A/B Test Evaluation](#ab-test-evaluation) | 1 | HIGH | Comparing variants, measuring significance, shipping decisions | | [Cohort Retention](#cohort-retention) | 1 | HIGH | Feature adoption curves, day-N retention, engagement scoring | | [Funnel Analysis](#funnel-analysis) | 1 | HIGH | Drop-off diagnosis, conversion optimization, stage mapping | | [Statistical Foundations](#statistical-foundations) | 1 | HIGH | p-value interpretation, sample sizing, confidence intervals | **Total: 4 rules across 4 categories** ## A/B Test Evaluation Load `rules/ab-test-evaluation.md` for the full framework. Quick pattern: ```markdown ## Experiment: [Name] Hypothesis: If we [change], then [primary metric] will [direction] by [amount] because [evidence or reasoning]. Sample size: [N per variant] — calculated for MDE=[X%], power=80%, alpha=0.05 …
Read the whole file at its exact version.
How to install
mdr add yonatangross/orchestkit/product-analytics@sha256:2983d38e6aa2786aThe line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_arrrytypxzb4msbw)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Jun 20, 2026 and Aug 29, 2026, about one every 18 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.0 latest | 2026-08-29 | 2aed0b0 | 7,181 B | A | view · diff |
| v1.0.0 | 2026-08-01 | 0ed071d | 7,181 B | A | view · diff |
| v1.0.0 | 2026-07-25 | 47b78fb | 7,178 B | A | view · diff |
| v1.0.0 | 2026-07-10 | 10a2d30 | 7,178 B | A | view · diff |
| v1.0.0 | 2026-06-20 | 5700399 | 7,178 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (7181 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
yonatangross/orchestkit · 299 stars · license MIT · pushed 2026-11-07 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_arrrytypxzb4msbw GET https://markdownregistry.com/api/v1/resolve?ref=yonatangross/orchestkit/product-analytics GET https://markdownregistry.com/api/v1/blob/2983d38e6aa2786a42f58263e2745e39e86a7c0189daa68888e966cc5a36810a
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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