From sundial-org-awesome-openclaw-skills-4
Searches movies, TV shows, and people via TMDb API; retrieves cast, ratings, streaming availability; discovers trending/recommendations; manages personalized preferences and watchlists via CLI.
npx claudepluginhub joshuarweaver/cascade-ai-ml-agents-misc-2 --plugin sundial-org-awesome-openclaw-skills-4This skill uses the workspace's default tool permissions.
Comprehensive movie and TV information with streaming availability, recommendations, and personalization.
Guides Next.js Cache Components and Partial Prerendering (PPR) with cacheComponents enabled. Implements 'use cache', cacheLife(), cacheTag(), revalidateTag(), static/dynamic optimization, and cache debugging.
Guides building MCP servers enabling LLMs to interact with external services via tools. Covers best practices, TypeScript/Node (MCP SDK), Python (FastMCP).
Generates original PNG/PDF visual art via design philosophy manifestos for posters, graphics, and static designs on user request.
Comprehensive movie and TV information with streaming availability, recommendations, and personalization.
Set environment variable:
TMDB_API_KEY: Your TMDb API key (free at themoviedb.org)# Search movies
uv run {baseDir}/scripts/tmdb.py search "Inception"
# Search TV shows
uv run {baseDir}/scripts/tmdb.py search "Breaking Bad" --tv
# Search people (actors, directors)
uv run {baseDir}/scripts/tmdb.py person "Christopher Nolan"
# Full movie info
uv run {baseDir}/scripts/tmdb.py movie 27205
# With cast
uv run {baseDir}/scripts/tmdb.py movie 27205 --cast
# TV show details
uv run {baseDir}/scripts/tmdb.py tv 1396
# By name (searches first, then shows details)
uv run {baseDir}/scripts/tmdb.py info "The Dark Knight"
# Find streaming availability
uv run {baseDir}/scripts/tmdb.py where "Inception"
uv run {baseDir}/scripts/tmdb.py where 27205
# Specify region
uv run {baseDir}/scripts/tmdb.py where "Inception" --region GB
# Trending this week
uv run {baseDir}/scripts/tmdb.py trending
uv run {baseDir}/scripts/tmdb.py trending --tv
# Recommendations based on a movie
uv run {baseDir}/scripts/tmdb.py recommend "Inception"
# Advanced discover
uv run {baseDir}/scripts/tmdb.py discover --genre action --year 2024
uv run {baseDir}/scripts/tmdb.py discover --genre sci-fi --rating 7.5
# Get personalized suggestions (uses Plex history + preferences)
uv run {baseDir}/scripts/tmdb.py suggest <user_id>
# Set preferences
uv run {baseDir}/scripts/tmdb.py pref <user_id> --genres "sci-fi,thriller,drama"
uv run {baseDir}/scripts/tmdb.py pref <user_id> --directors "Christopher Nolan,Denis Villeneuve"
uv run {baseDir}/scripts/tmdb.py pref <user_id> --avoid "horror,romance"
# View preferences
uv run {baseDir}/scripts/tmdb.py pref <user_id> --show
# Add to watchlist
uv run {baseDir}/scripts/tmdb.py watchlist <user_id> add 27205
uv run {baseDir}/scripts/tmdb.py watchlist <user_id> add "Dune: Part Two"
# View watchlist
uv run {baseDir}/scripts/tmdb.py watchlist <user_id>
# Remove from watchlist
uv run {baseDir}/scripts/tmdb.py watchlist <user_id> rm 27205
If the Plex skill is available, suggest command pulls recent watch history to inform recommendations.
If ppl skill is available, preferences are stored as notes on the user's contact for persistence across sessions.
Common genres for --genre filter: