A personal movie assistant for tracking Letterboxd activity, managing watchlists, and retrieving film data through AI-driven commands.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install letterboxd-tracker
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 letterboxd-tracker 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 Letterboxd Tracker?
The Letterboxd Tracker is a specialized integration designed for the Openclaw Skills ecosystem. It enables AI agents to interact directly with Letterboxd profiles, fetching user statistics, diary entries, and detailed film information. By bridging the gap between conversational AI and movie databases, this skill allows cinephiles to manage their cinematic journey using natural language queries rather than manual navigation.
This tool is built to enhance the capabilities of AI agents by providing structured access to movie metadata and personal user activity. Whether you are looking for specific film details or want to summarize your recent watching habits, this skill provides a seamless bridge to the Letterboxd platform.
Letterboxd Tracker Use Cases
- Monitoring Letterboxd profile statistics like total films watched and review counts.
- Retrieving a list of recently watched movies from a specific user's diary.
- Accessing and managing a user's watchlist for planning future viewings.
- Fetching in-depth movie details including directors, ratings, and descriptions using URL slugs.
How Letterboxd Tracker Works
- The user provides a natural language query related to a Letterboxd profile or movie.
- The AI agent identifies the appropriate command based on the request intent, such as lb_user for stats or lb_movie for details.
- The skill executes a Python script leveraging the letterboxdpy library to fetch data from the platform.
- The retrieved data is returned to the agent, which then formats the information into a readable response for the user.
Letterboxd Tracker Setup
To get started with this addition to your Openclaw Skills library, you must install the necessary Python dependency:
pip install letterboxdpy
Ensure your agent has the lb_tool.py script configured to handle the execution of the Letterboxd commands.
Letterboxd Tracker Data Schema & Taxonomy
The Letterboxd Tracker organizes information into specific entities based on the query type:
| Entity | Data Fields |
|---|---|
| User Profile | Watched count, reviews, lists, favorite films |
| Diary/Watchlist | Movie titles, watch dates (for diary), and list limits |
| Movie Details | Title, release year, Letterboxd rating, directors, and plot summary |
Letterboxd Tracker Advanced Features
- Customizable result limits for diary and watchlist queries to optimize response length.
- Deep integration with movie URL slugs for precise metadata retrieval.
- Multi-user support allowing agents to switch between different Letterboxd handles within a single session.
- Seamless compatibility with other Openclaw Skills for creating complex movie-related automated workflows.
SKILL.md
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