app-marketing-context

app-marketing-context is a skill for Claude Code, Codex from AppKittie/aso-mcp-skills. It costs 74 tokens per session (859 once invoked), scanned A, original, MIT.

A setup workflow for creating a shared context document about a mobile app. Other AppKittie workflows can use it to understand the app, its audience, goals, competitors, and positioning.

In plain words
What is it for?
Use it before other AppKittie workflows to record app identity, target users, user problems, platforms, competitors, and differentiators.
Why use it?
It prevents repeated explanations and keeps later app-store research and recommendations consistent with the same product information.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it before other AppKittie workflows to record app identity, target users, user problems, platforms, competitors, and differentiators.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/appkittie/aso-mcp-skills/app-marketing-context
Install

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.

Any agent
npx skills add AppKittie/aso-mcp-skills --skill app-marketing-context
Clone the repo
git clone --depth 1 https://github.com/AppKittie/aso-mcp-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for app-marketing-context

README.md
[![agentmods](https://agentmods.dev/badge/skills/appkittie/aso-mcp-skills/app-marketing-context/github.svg)](https://agentmods.dev/skills/appkittie/aso-mcp-skills/app-marketing-context)
Your own site
<a href="https://agentmods.dev/skills/appkittie/aso-mcp-skills/app-marketing-context"><img src="https://agentmods.dev/badge/skills/appkittie/aso-mcp-skills/app-marketing-context/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.

agentmods 80×15 button for app-marketing-context

Your own site · 80×15
<a href="https://agentmods.dev/skills/appkittie/aso-mcp-skills/app-marketing-context"><img src="https://agentmods.dev/badge/skills/appkittie/aso-mcp-skills/app-marketing-context.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 74 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 859 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00074 $0.00859
Opus 5 $0.00037 $0.00430
Sonnet 5 $0.00015 $0.00172
Haiku 4.5 $0.00007 $0.00086

Measured 12d ago against content hash 6bf7b43bd0d8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

app-marketing-context 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 12d 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.

skills/app-marketing-context/SKILL.md · 110 lines

How it starts

The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.

App Marketing Context

You are setting up a shared context document that all AppKittie skills will reference. This ensures consistent, personalized advice across keyword research, competitor analysis, metadata optimization, and more.

When to Use

Run this skill:

  • First time using AppKittie skills for a specific app
  • When the app's strategy changes (new target market, repositioning)
  • When competitors shift significantly

Information to Gather

Ask the user for each section. If they have an App Store ID, use get_app_detail to pre-fill what you can.

1. App Identity

  • App name (brand)
  • App Store ID (numeric) or slug
  • One-sentence description — what does the app do?
  • Target platform — iOS only, or also Android?

2. Target Audience

  • Primary audience — who is the main user?
  • Secondary audience — any secondary segments?
  • User problems — what pain points does the app solve?
  • User language — how do users describe their problem? (important for keywords)

3. Competitive Landscape

  • Direct competitors — apps that do the same thing (list 3–5)
  • Indirect competitors — apps that solve the same problem differently
  • Key differentiators — what makes this app unique?

4. Current Performance

Use get_app_detail if available:

  • Downloads/month (estimated)
  • Revenue/month (estimated)
  • Rating and review count
  • Current keywords (if known)
  • Running ads? Use search_apps for Meta/Apple presence signals and search_ads(appSlug) for creative records

5. Goals

  • Primary goal — downloads, revenue, ratings, brand awareness?
  • Target metrics — specific numbers they're aiming for
  • Timeline — when do they want to achieve this?
  • Budget — any ad budget or is it organic only?

Output Format

Generate an app-marketing-context.md file:

# App Marketing Context

## App
- **Name:** [name]
- **App Store ID:** [id]
- **Description:** [one-sentence]
- **Category:** [primary genre]
- **Price:** [free/paid/subscription]

## Audience
- **Primary:** [description]
- **Secondary:** [description]
- **Pain points:** [list]
- **Language:** [how users describe the problem]

## Competitors
| App | Strengths | Weaknesses |
|-----|-----------|-----------|
| [comp1] | [strengths] | [weaknesses] |

## Current Performance
- **Downloads/mo:** [est.]
- **Revenue/mo:** [est.]
- **Rating:** [★] ([count] reviews)
- **Known keywords:** [list]

## Goals
- **Primary:** [goal]
- **Target:** [metrics]
- **Timeline:** [timeframe]
- **Budget:** [amount or "organic only"]

## Notes
[Any additional context]

Read the full file on GitHub · 110 lines

Changes

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.

  1. 12d ago First seen · 110 lines · 74 tokens per session scan A 6bf7b43bd0d8

Subscribe to this mod's changes

app-marketing-context is a skill published in the GitHub repository AppKittie/aso-mcp-skills (6 stars, last pushed yesterday), licensed MIT. It adds 74 tokens to every session and 859 once invoked, about $0.0004 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 2026-08-31.

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