Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Content Creation
letterboxd-companion
Your personal movie assistant. Track what you watch, check your lists, and get movie info from Letterboxd instantly.
skill openclawclawhub Free
Your personal movie assistant. Track what you watch, check your lists, and get movie info from Letterboxd instantly.
โฌ 0 downloads โ
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- lb_tool.py, README.md, requirements.txt, SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- tamil-9421
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Letterboxd Skill
This skill allows the agent to retrieve information about movies or user activity from Letterboxd.
Setup
pip install letterboxdpy
Usage
Use this when the user asks about: Their Letterboxd profile stats Movies they've watched recently Their watchlist Specific movie details
lb_user
command: python lb_tool.py user "{{username}}" description: Gets user profile stats (watched count, reviews, lists, favorites) parameters: username: The Letterboxd username
lb_diary
command: python lb_tool.py diary "{{username}}" [limit] description: Gets recently watched movies from user's diary parameters: username: The Letterboxd username limit: Optional, default 10
lb_watchlist
command: python lb_tool.py watchlist "{{username}}" [limit] description: Gets movies in user's watchlist parameters: username: The Letterboxd username limit: Optional, default 10
lb_movie
command: python lb_tool.py movie "{{slug}}" description: Gets movie details (title, year, rating, directors, description) parameters: slug: Movie URL slug (e.g., vikram-2022, the-batman)
Examples
User: "How many movies have I watched on Letterboxd?" Agent: (Calls lb_user with username="tamilventhan") User: "What movies did I watch recently?" Agent: (Calls lb_diary with username="tamilventhan") User: "Show my watchlist" Agent: (Calls lb_watchlist with username="tamilventhan") User: "Tell me about the movie Vikram" Agent: (Calls lb_movie with slug="vikram-2022")
Category context
Writing, remixing, publishing, visual generation, and marketing content production.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs1 Scripts1 Files
- SKILL.md
- README.md
- lb_tool.py
- requirements.txt