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 productgit 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/product)<a href="https://agentmods.dev/skills/rshankras/claude-code-apple-skills/product"><img src="https://agentmods.dev/badge/skills/rshankras/claude-code-apple-skills/product/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/product"><img src="https://agentmods.dev/badge/skills/rshankras/claude-code-apple-skills/product.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high System Prompt Leakage · line 41 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
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 | $0.00054 | $0.01041 |
| Opus 5 | $0.00027 | $0.00521 |
| Sonnet 5 | $0.00011 | $0.00208 |
| Haiku 4.5 | $0.00005 | $0.00104 |
Grade A, and why
product-development 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 6d 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 — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Development Expert
Comprehensive product development guidance for iOS/macOS apps. This skill orchestrates the entire product lifecycle from idea validation to App Store release.
When This Skill Activates
Use this skill when the user:
- Has an app idea and wants to validate it
- Needs market research or competitive analysis
- Wants to generate product specifications
- Needs architecture or UX design documents
- Is preparing for App Store submission
- Wants to plan beta testing or TestFlight strategy
- Needs localization strategy or market expansion planning
- Wants end-to-end product planning
Available Modules
Read relevant module files based on the user's needs:
Phase 0: Idea Discovery
idea-generator/ Brainstorm and rank app ideas via 5 lenses.
- Developer profile elicitation (skills, interests, constraints)
- Five brainstorming lenses (skills, problem-first, technology-first, market gap, trend-based)
- Feasibility filtering and scoring
- Ranked shortlist of 3-5 ideas with
next_stepcommands
app-namer/ Turn a chosen idea into validated, App-Store-ready name candidates.
- Branded vs. descriptive vs. hybrid archetypes, paired with a subtitle
- App Store display rules (30-char limit, Home-Screen truncation, name/subtitle interplay)
- Validation gauntlet: App Store Connect name, trademark knockout, domain/.app, social handle, linguistic safety
- Ranked shortlist with scores and a "reserve now" action; feeds
app-store/keyword-optimizer
Discovery & Validation
product-agent/ AI-powered product discovery and validation.
- Idea validation and assessment
- MVP scoping
- Market opportunity analysis
market-research/ Deep market analysis.
- Market sizing (TAM/SAM/SOM)
- Growth trends and maturity
- Entry barriers and distribution channels
- Revenue potential
competitive-analysis/ Competitor deep dive.
- Feature comparison matrices
- Pricing analysis
- Strengths/weaknesses
- Differentiation opportunities
Specification Generation
What ships with it
23 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.
- app-namer/naming-strategies.md 7.4 KB
- app-namer/SKILL.md 13 KB
- app-namer/validation-checklist.md 6.6 KB
- architecture-spec/SKILL.md 37 KB
- beta-testing/SKILL.md 19 KB
- competitive-analysis/examples/analysis-output.json 7.8 KB
- competitive-analysis/SKILL.md 11 KB
- idea-generator/examples/idea-shortlist.json 5.7 KB
- idea-generator/SKILL.md 18 KB
- implementation-guide/SKILL.md 54 KB
- implementation-spec/SKILL.md 35 KB
- localization-strategy/SKILL.md 23 KB
- market-research/examples/market-analysis.json 6.5 KB
- market-research/SKILL.md 12 KB
- prd-generator/SKILL.md 19 KB
- product-agent/examples/discovery.json 3.6 KB
- product-agent/examples/usage-patterns.md 4.9 KB
- product-agent/REFERENCE.md 6.2 KB
- product-agent/SKILL.md 9.5 KB
- release-spec/SKILL.md 51 KB
- test-spec/SKILL.md 47 KB
- ux-spec/SKILL.md 60 KB
- WORKFLOW.md 25 KB
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.
- 6d ago First seen · 163 lines · 54 tokens per session scan A a016527571f6
product-development is a skill published in the GitHub repository rshankras/claude-code-apple-skills (710 stars, last pushed 1mo ago), licensed MIT. It adds 54 tokens to every session and 1,041 once invoked, about $0.0003 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 2026-09-03.
Other skills, from other repositories
android-development
Android development with Kotlin, Jetpack Compose, and modern Android architecture. Use when building Android apps, implementing Material Design, or following Android best practices.
flutter-development
Cross-platform development with Flutter and Dart for iOS, Android, Web, Desktop, and embedded. Use when building Flutter apps, implementing Material/Cupertino design, or optimizing Dart code.
ios-development
Comprehensive guide for building native Apple platform applications.
kotlin-multiplatform
KMP/CMP shared business logic, Compose Multiplatform, expect/actual, Ktor, SQLDelight, and platform-specific implementations. Use when building cross-platform Kotlin applications for Android, iOS, desktop, or web.
flame-harness-admob
Phase 7 — analyze the game, decide a rewarded-ad strategy, guide manual AdMob ad-unit creation, and inject googlemobileads + ATT/UMP consent code.
flame-harness-submit
Phase 10 — upload store text metadata + categories via fastlane, then pause with exact manual steps for the final iOS review submission and Android production promotion.