Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add rshankras/claude-code-apple-skills --skill marketing-strategygit clone --depth 1 https://github.com/rshankras/claude-code-apple-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/rshankras/claude-code-apple-skills/marketing-strategy)<a href="https://agentmods.dev/skills/rshankras/claude-code-apple-skills/marketing-strategy"><img src="https://agentmods.dev/badge/skills/rshankras/claude-code-apple-skills/marketing-strategy/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/rshankras/claude-code-apple-skills/marketing-strategy"><img src="https://agentmods.dev/badge/skills/rshankras/claude-code-apple-skills/marketing-strategy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00047 | $0.02123 |
| Opus 5 | $0.00023 | $0.01061 |
| Sonnet 5 | $0.00009 | $0.00425 |
| Haiku 4.5 | $0.00005 | $0.00212 |
Grade A, and why
marketing-strategy scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 229 lines — stays where its author put it; the contents beside it link to each section on GitHub.
App Store Marketing Strategy
Analyzes your app's type, monetization model, audience, and lifecycle stage, then builds a tailored promotional strategy using Apple's App Store features. Calls relevant sub-skills to generate implementation code and metadata.
When This Skill Activates
Use this skill when the user:
- Asks "how should I market my app?" or "what App Store features should I use?"
- Wants a promotional strategy for launch, growth, or re-engagement
- Mentions "App Store promotion", "user acquisition", or "app marketing"
- Wants to increase downloads or reduce churn
- Asks about in-app events, custom product pages, or win-back offers
- Is preparing for a major update or seasonal campaign
- Wants to get featured on the App Store
Process
Phase 1: App Profile Collection
Gather information via AskUserQuestion:
1. App Identity
- App name and one-line description
- App Store category (primary + secondary)
- Platform(s): iOS, macOS, iPadOS, watchOS, visionOS
2. Monetization Model
- Free (ad-supported)
- Freemium (free + IAP/subscription)
- Paid upfront
- Subscription only
- Free (no monetization yet)
3. Target Audience
- Primary demographic (age, role, context)
- Secondary audience (if any)
- Geographic focus
4. Lifecycle Stage
- Pre-launch (building / TestFlight)
- Launch (first 30 days)
- Growth (active, adding users)
- Mature (stable user base, seeking retention)
- Re-engagement (declining, need to win back users)
5. Current State
- Monthly active users (approximate)
- Existing promotional features already configured
- Upcoming updates or milestones
- Marketing budget (none / small / moderate)
Phase 2: Strategy Analysis
Read decision-matrix.md to map the app profile to recommended features.
The decision matrix evaluates these dimensions:
- Monetization model → Which offer types apply
- Lifecycle stage → Which tactics are highest priority
- App category → Which featuring angles work
- Audience segments → Whether custom product pages help
- Content/events → Whether in-app events fit
- Minimum eligibility thresholds → Whether the app has sufficient scale for each feature
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 229 lines · 47 tokens per session scan A dca86395777b
marketing-strategy is a skill published in the GitHub repository rshankras/claude-code-apple-skills (719 stars, last pushed 1mo ago), licensed MIT. It adds 47 tokens to every session and 2,123 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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