A sophisticated recommendation and organization engine for mobile applications that tracks user preferences and experiences locally.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install apps
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install apps using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Apps?
The Apps skill is a powerful addition to the Openclaw Skills ecosystem, designed to help users navigate the complex world of mobile applications across iOS and Android platforms. It functions as a personalized digital librarian that not only suggests the best tools for your specific needs but also maintains a deep history of your app preferences, previous trials, and curated favorites using local Markdown files.
By prioritizing user-defined constraints—such as avoiding subscription-based models or focusing on specific categories like productivity and finance—this skill ensures that every recommendation is relevant and actionable. It eliminates the frustration of repetitive suggestions and helps users build a structured wishlist and favorites library, all while keeping data stored safely within the local environment.
Apps Use Cases
- Finding top-rated mobile apps that match specific pricing preferences like one-time purchases or free-to-use models.
- Keeping a detailed log of applications you have already tested to avoid redundant downloads and trials.
- Comparing similar apps within a category to understand specific tradeoffs in features, privacy, and pricing.
- Maintaining a structured wishlist of apps to try later when new needs or interests arise.
How Apps Works
- The skill begins by scanning the local ~/apps/ directory to load user preferences from memory.md, including platform and pricing constraints.
- When a query is received, it cross-references the request against tried.md to filter out previously disliked or tested applications.
- It generates a curated list of recommendations, providing a transparent breakdown of pros, cons, and the specific pricing model for each app.
- Following the interaction, the skill proactively updates local files like favorites.md or wishlist.md based on user feedback.
- It organizes all saved data into a standardized taxonomy, ensuring your app library remains easy to navigate as it grows.
Apps Setup
To get started with this skill in your Openclaw Skills environment, you need to initialize the storage directory:
mkdir -p ~/apps
Once the directory is created, you can begin by telling the agent your platform preferences (iOS or Android) and any specific dislikes regarding app monetization (e.g., "I prefer apps without subscriptions").
Apps Data Schema & Taxonomy
The skill organizes data within the ~/apps/ directory using the following file structure:
| File | Purpose |
|---|---|
memory.md |
Tracks global preferences, platform choice, and general dislikes. |
favorites.md |
Stores highly-rated apps organized by category (e.g., Productivity, Finance). |
tried.md |
A log of tested apps with specific notes on why they were kept or discarded. |
wishlist.md |
A simple queue of apps the user intends to explore in the future. |
Apps Advanced Features
- Context-aware filtering that respects complex user constraints such as "no-subscription" or "privacy-focused" requirements.
- Cross-platform management for users who maintain both iOS and Android devices simultaneously.
- Detailed tradeoff analysis frameworks that go beyond simple star ratings to explain the "why" behind a recommendation.
- Proactive memory management that automatically refines the local knowledge base during natural conversation.
SKILL.md
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