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rshankras
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store-signals

Converts App Store reviews, analytics, sales, and crash data into a metric-tagged product backlog.

696|66|Updated Oct 29, 2025
Search Tags:#product backlog#retention#hypothesis tracking#Analytics#aso#app store connect#app reviews
One-click install
npx skills add https://github.com/rshankras/claude-code-apple-skills --skill store-signals
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: store-signals
Source: https://github.com/rshankras/claude-code-apple-skills/tree/main/skills/growth/store-signals
Command: npx skills add https://github.com/rshankras/claude-code-apple-skills --skill store-signals

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

After shipping an app, developers struggle to turn scattered App Store signals — reviews, retention analytics, sales reports, crash diagnostics — into a prioritized plan for the next version, and rarely verify whether last cycle's changes actually moved the metrics they targeted.

Core Features & Use Cases

  • Signal aggregation: Pulls reviews, analytics reports, sales data, crash/performance diagnostics, beta feedback, and listing metadata from App Store Connect in read-only mode.
  • Metric-tagged backlog: Clusters feedback into themes, scores items by impact × confidence ÷ effort, filters against product positioning, and appends a dated backlog to ROADMAP.md plus a hypothesis ledger in SIGNALS.md.
  • Loop closure: Compares each shipped hypothesis's target metric against its recorded baseline and verdicts it WIN, REGRESSION, or NEUTRAL before planning the next cycle.
  • Use Case: Two weeks after shipping v1.3, run the skill to check whether the settings-crash fix improved crash-free rate, cluster the 40 newest reviews into themes, and produce a ranked backlog for the next version.

Quick Start

Analyze my live app's App Store signals and turn them into a prioritized backlog for the next version.

Frequently Asked Questions about store-signals

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I turn App Store reviews into a product backlog?▼

The skill pulls recent reviews from App Store Connect, deduplicates them into recurring themes with frequency counts, scores each by impact × confidence ÷ effort, and appends a dated, metric-tagged backlog section to ROADMAP.md.

How to verify if an app update improved retention or ratings?▼

Each backlog item is logged in SIGNALS.md with a target metric, frozen baseline, and check-after date. On the next run, the skill compares the current metric against that baseline and marks the hypothesis WIN, REGRESSION, or NEUTRAL.

Does this skill modify App Store Connect metadata or respond to reviews?▼

No. It is strictly read-only on App Store Connect — it never edits metadata, pricing, or review responses. Every proposed change is surfaced, gated on explicit approval, and routed to a separate command.

What App Store Connect data sources does it analyze?▼

It reads reviews and ratings, analytics reports (retention, funnel, acquisition), sales reports, crash and performance diagnostics, TestFlight beta feedback, and listing metadata via the asc-metadata MCP tools.

Can it analyze multiple apps in a portfolio at once?▼

Yes. Portfolio mode runs signal gathering across every app returned by list_apps, then ranks which app to invest in next based on the biggest fixable revenue, retention, or rating gap.

What are the limitations for newly launched apps?▼

With small sample sizes the skill flags low confidence and leans on qualitative review analysis instead of statistics. Also, freshly configured analytics reports are empty until Apple delivers data in the next cycle.

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