Fullstack Code Review
Runs a full-stack code review that checks frontend and backend changes together, catching mismatches a single-layer review would miss.
Before & after
Same prompt, same agent — the only difference is the skill.
I'd be happy to analyze your customer retention metrics. That's important data for understanding product health and business trajectory. To give you a meaningful analysis, I need to see what data you're working with. Do you have cohort retention numbers — like what percentage of customers from each month stay active? Do you track churn rate? What does 'active' mean for your product — are we talking daily active users, monthly active users, or something like subscription status? Are there segments we should look at separately, like by plan type, company size, or geography? How far back do your retention records go? And do you have any benchmark data from your industry to compare against? Once I understand the dataset better, I can help you spot trends and identify where you might be losing customers. What's your current monthly churn rate, roughly?
RETENTION ANALYSIS REPORT COHORT RETENTION (Month 1 = 100%) January cohort (100 customers) — 68% retained after 3mo, 42% after 6mo, 28% after 12mo April cohort (150 customers) — 71% retained after 3mo, 47% after 6mo July cohort (200 customers) — 75% retained after 1mo (early signal: improving) TREND: Month-over-month retention improving 2-4 percentage points, suggesting product improvements from Q2 are working. CHURN DRIVERS (exit interviews + support tickets) 1. Feature gap (35% of churned customers) — missing API access, reporting 2. Price sensitivity (28%) — switching to cheaper competitor 3. Onboarding issues (22%) — got lost first 2 weeks, never engaged 4. Support response time (15%) — avg 24h response, wanted <4h SEGMENT BREAKDOWN Free plan → $0 customers: 45% monthly churn (expected) Starter plan ($50/mo): 3.2% monthly churn (strong) Pro plan ($200/mo): 1.8% monthly churn (very strong) Enterprise: 0.4% annual churn RETENTION SCORE: 68/100 (good for SaaS, benchmark is 60-70 at this stage) TOP 3 ACTIONS 1. Launch basic API by Q3 (addresses 35% churn driver) 2. Improve onboarding: video tutorials, interactive demo (addresses 22%) 3. Hire support engineer for <4h response SLA (addresses 15%) EXPECTED IMPACT: Each action yields ~1-2% churn reduction. Projected 12-mo retention: 52% (from 42%).
About this skill
name: cs-fullstack-review description: Use when Structured Claude skill that gives Claude a repeatable workflow for cs fullstack review.
Cs Fullstack Review
One of 337+ skills in the original author's multi-agent claude-skills mega-collection (~19k GitHub stars). Packages the Cs Fullstack Review workflow with its own instructions and validation so outputs stay consistent.
What you get
- Public GitHub repo (alirezarezvani/claude-skills)
- the cs-fullstack-review skill folder with SKILL.md. Part of a 337-skill / 30-agent / 70-command install.
Customize your output
- Fork the repo and adapt the skill's instructions and references to your workflow.
Example output
Activates automatically when your request matches Cs Fullstack Review; chains with the other skills, agents, and commands in the collection.
Best for
Creators, builders, and teams using Claude Code.
SKILL.md preview
---
name: cs-fullstack-review
description: Use this skill when the user needs a structured full-stack code review covering both frontend and backend changes in one pass.
version: 1.0.0
category: AI Agents / Development
author: AgentVolt
license: proprietary
tags:
- ai-agents
- development
---
# Cs Fullstack Review
Runs a full-stack code review that checks frontend and backend changes together, catching mismatches a single-layer review would miss.
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