> ## Documentation Index
> Fetch the complete documentation index at: https://docs.appgoat.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Playbooks as prompts

> The AppGoat playbooks are bundled with the MCP server as prompts, so clients that show prompts can run them as slash commands.

The server bundles the AppGoat [playbooks](https://appgoat.ai/playbooks) as MCP prompts, so clients that show prompts can run them as slash commands. Clients without prompt support get the same text from the `list_playbooks` tool. Every client runs the playbook as a prompt of the hosted AppGoat MCP server.

> **[App audit (lite)](https://appgoat.ai/playbooks/app-audit-lite)**
>
> `/app-audit-lite` · \~25–40 credits per run
>
> Runs a quick App Store / Google Play audit of one app with live AppGoat data – listing quality, ratings trend, recent complaints, keyword rankings, competitors and their recent changes – and ends with a prioritized fix list.

> **[Find app ideas](https://appgoat.ai/playbooks/find-app-ideas)**
>
> `/find-app-ideas` · \~150–250 credits per run
>
> Finds underserved App Store / Google Play niches with live AppGoat data – search demand (keyword popularity) against weak supply (low ratings, abandoned incumbents, few strong apps) – and returns a ranked shortlist of app ideas with evidence and user pain points.

> **[ASO keywords → metadata rewrite](https://appgoat.ai/playbooks/aso-keywords-metadata-rewrite)**
>
> `/aso-keywords-metadata-rewrite` · \~40–80 credits per run
>
> Researches App Store / Google Play keywords for one app with live AppGoat data (current ranks, competitor keyword gaps, popularity, difficulty, relevance) and rewrites the title, subtitle, keyword field and description within the store character limits.

> **[Competitor digest](https://appgoat.ai/playbooks/competitor-digest)**
>
> `/competitor-digest` · \~15–55 credits per run
>
> Writes a weekly competitor digest for one App Store / Google Play app from an AppGoat competitor watch – what each competitor changed (title, subtitle, description, screenshots, icon), price and in-app purchase changes, new versions with release-note summaries, rating and chart moves, keyword gains and losses against the user's app, keyword gaps and review themes – and ends with 3 recommended actions linked to other playbooks. Sets up or reuses the competitor\_set watch.

> **[Reviews → GitHub issues](https://appgoat.ai/playbooks/reviews-to-github-issues)**
>
> `/reviews-to-github-issues` · \~2–10 credits per run
>
> Turns recent negative App Store / Google Play reviews into deduplicated GitHub issues – one issue per problem topic, with linked and quoted reviews, new reviews added as comments to the existing issue instead of duplicates. Uses AppGoat review data and the gh CLI (or the GitHub MCP server).

> **[Reply to every review](https://appgoat.ai/playbooks/reply-to-every-review)**
>
> `/reply-to-every-review` · \~1–3 + 1 per posted reply credits per run
>
> Drafts a reply to every unanswered App Store and Google Play review of the user's own app, in the app's voice, through their connected App Store Connect / Play Console account – each reply is a dry run with a before/after diff and AppGoat guardrail scores (policy, tone, claims), and only the replies the user approves are posted.

> **[Apple Ads optimizer](https://appgoat.ai/playbooks/apple-ads-optimizer)**
>
> `/apple-ads-optimizer` · \~5–8 per campaign + 1 per applied change credits per run
>
> Optimizes the user's Apple Ads (Search Ads) campaigns through their connected Apple Ads account – reads the last 14 days of keyword and search term reports, raises bids on keywords that convert under the target CPA (capped +30% per run), lowers or pauses keywords that spend without installs, adds converting search terms as exact keywords and wasteful ones as negatives – every change a dry run with a diff the user approves.

> **[Localization push](https://appgoat.ai/playbooks/localization-push)**
>
> `/localization-push` · \~35–60 per locale + 1 per applied change credits per run
>
> Localizes the user's own App Store / Google Play listing into new languages through their connected App Store Connect or Play Console account – picks target locales from markets with demand, researches the keywords people actually search in each country with AppGoat, writes a localized name, subtitle, keyword field and promotional text (Play title, short and full description) within the store limits, and pushes each locale as a dry run with a before/after diff the user approves.


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