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From RevenueCat
Displays RevenueCat project status summary: apps by platform, products, entitlements, offerings, webhooks. Highlights issues like unattached products, empty offerings, or apps without products. Useful for config audits.
How this skill is triggered — by the user, by Claude, or both
Slash command
/RevenueCat:revenuecat-statusThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Get a quick overview of your RevenueCat project configuration.
Get a quick overview of your RevenueCat project configuration.
This command provides a summary of your RevenueCat project including:
/revenuecat-status [project_name]
Arguments:
project_name (optional): Name of the project to show status for. If not provided, shows status for all accessible projects.Can be referenced as $ARGUMENTS in the skill.
Use the RevenueCat MCP server for all tool calls.
When the user invokes this skill, perform the following steps:
Parse Arguments (from $ARGUMENTS)
project_name (optional)Get Projects
list-projects tool to retrieve all accessible projectsproject_name is specified in arguments, filter projects by name (case-insensitive partial match)project_name provided, show status for all projectsGather Statistics for Each Project For each project (filtered or all), use the following tools:
list-appslist-productslist-entitlementslist-offeringslist-webhook-integrationsPresent Summary Format the results as a clear status report:
📊 RevenueCat Project Status
============================
Project: {project_name} ({project_id})
📱 Apps: {count}
- {app_name} ({platform})
...
📦 Products: {count}
- {product_identifier} ({type})
...
🔑 Entitlements: {count}
- {entitlement_name}
...
🎁 Offerings: {count}
- {offering_name} (current: yes/no)
...
🔗 Webhooks: {count}
- {webhook_name} → {url}
...
Highlight Issues (if any)
npx claudepluginhub revenuecat/ai-toolkit --plugin RevenueCatSearches MemPalace before answering questions about past work, people, projects, or prior decisions. Returns verbatim stored content instead of guessing from model memory.
Guides Payload CMS config (payload.config.ts), collections, fields, hooks, access control, APIs. Debugs validation errors, security, relationships, queries, transactions, hook behavior.
Implements vector databases with Pinecone, Weaviate, Qdrant, Milvus, pgvector for semantic search, RAG, recommendations, and similarity systems. Optimizes embeddings, indexing, and hybrid search.