go-to-market
Planning guide for app marketing, ASO, and launch communications for the Finance application.
Install
mkdir -p .claude/skills/go-to-market && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/15092" && unzip -o skill.zip -d .claude/skills/go-to-market && rm skill.zipInstalls to .claude/skills/go-to-market
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Go-to-market strategy, marketing, and launch planning for the Finance app. Use for topics related to app store optimization, launch communications, content strategy, user acquisition, or growth planning.Key capabilities
- →Define App Store Optimization (ASO) strategies for titles and keywords
- →Develop core messaging pillars for product communication
- →Analyze competitive positioning of features
- →Formulate pricing strategies and tiers
- →Plan content calendars with specific angles
- →Outline platform-specific content considerations
How it works
The skill provides structured frameworks and examples for various go-to-market aspects, including ASO, messaging, competitive analysis, and content planning, to guide strategy development.
Inputs & outputs
When to use go-to-market
- →Defining ASO keywords
- →Planning launch communications
- →Strategy for mobile app growth
About this skill
Go-to-Market Skill
Trigger: launch plan, ASO/store copy, positioning, growth channels, content calendar, review strategy.
Inputs: product value prop, target audience, platforms in scope, launch date, screenshots/assets, constraints.
Related: monetization (pricing/tier strategy), privacy-compliance (privacy claims),
i18n-localization (localized copy), project-management (release tracking).
Out of scope
- Pricing tiers, subscriptions, IAP, and revenue metrics → use
monetization. - Issue lifecycle, milestones, and release readiness → use
project-management. - Privacy/regulatory wording behind claims → use
privacy-compliance. - Translation and localized store copy mechanics → use
i18n-localization.
Method
- Define audience — who has the problem, what they use today, and why now.
- Position clearly — one primary promise, 2–4 proof points, and honest constraints.
- Prepare store assets — title, subtitle, keywords, description, screenshots, preview media, and review prompts for the platforms in scope.
- Plan launch waves — pre-launch list building, beta/social proof, launch-day publishing, and post-launch follow-up.
- Choose channels — prioritize channels where the audience already gathers; start organic before paid unless budget is explicit.
- Instrument learning — track activation, retention, conversion, and review quality without collecting unnecessary personal data.
- Close the loop — turn feedback themes into issues and release notes.
Messaging matrix
| Audience | Lead message | Proof |
|---|---|---|
| New users | Clear outcome with low setup friction | Onboarding screenshots, first-run flow |
| Power users | Control, reliability, and exportability | Advanced features, transparent docs |
| Privacy-conscious users | Data use is limited, explained, and optional | Privacy policy, settings, export/delete controls |
| Switchers | Familiar outcome with fewer pain points | Migration guide, comparison without trashing competitors |
| Teams/families/groups | Shared value without shared credentials | Roles, permissions, collaboration model |
Launch checklist
- Store/listing copy matches the product's current capabilities.
- Screenshots show real flows with fake data only.
- Privacy, AI, and security claims are reviewed by
privacy-compliancewhere relevant. - Landing page, waitlist/email, press kit, social posts, and release notes are ready.
- Support and review-response owners are named for the first 48 hours.
- Feedback issues use the repo's labels/templates and link to the launch milestone.
Growth metrics
| Metric | Use |
|---|---|
| Activation | Did users reach the first meaningful outcome? |
| Retention | Do users come back after the initial session? |
| Conversion | Do free/trial users choose the paid path, if any? |
| Review quality | Are low-star reviews actionable and answered? |
| Channel ROI | Which channels produce retained users, not just installs? |
Safety
Do not overclaim capabilities, fabricate testimonials, use competitor trademarks misleadingly, or publish privacy/security claims without review. Use fake data in all assets.
Output
A concise GTM plan with positioning, assets, launch timeline, channels, metrics, and issue-ready follow-up tasks.
When not to use it
- →When pricing tiers, IAP, subscriptions, and revenue analytics are the focus
- →When issue lifecycle, milestones, and release tracking are the focus
- →When privacy claims and regulatory wording are the focus
Limitations
- →Does not cover pricing tiers, IAP, subscriptions, and revenue analytics
- →Does not cover issue lifecycle, milestones, and release tracking
- →Does not cover privacy claims and regulatory wording
How it compares
This skill offers predefined templates and examples for go-to-market elements, providing a structured approach compared to starting from scratch for each marketing component.
Compared to similar skills
go-to-market side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| go-to-market (this skill) | 0 | 1mo | No flags | Intermediate |
| paid-ads | 15 | 6mo | No flags | Intermediate |
| marketing-ideas | 0 | 5mo | No flags | Beginner |
| content-trend-researcher | 30 | 9mo | Review | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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