Stats
Actions
Tags
From movies-for-ai-agents
First-run configuration for the movies-for-ai-agents plugin. Use when the user says "set up movies-for-ai-agents", "configure movies", "first run", "add my TMDB key", "set up my movie profile", or when any other movies-for-ai-agents skill calls an MCP tool that reports "TMDB API key not configured". Captures the TMDB API key and, optionally, a brief taste-priming pass (favorite genres, directors, a few favorite movies) so later recommendations work out of the gate.
How this skill is triggered — by the user, by Claude, or both
Slash command
/movies-for-ai-agents:setupThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
You are setting up the `movies-for-ai-agents` plugin for the user. This is a one-time flow that writes to user-global storage at `~/.claude/data/movies-for-ai-agents/` (follows the user across every Claude Code project).
You are setting up the movies-for-ai-agents plugin for the user. This is a one-time flow that writes to user-global storage at ~/.claude/data/movies-for-ai-agents/ (follows the user across every Claude Code project).
Check current status. Call the config_status MCP tool. If configured: true, tell the user it's already set up, show the summary, and ask if they want to re-prime their taste profile. Otherwise proceed.
Explain briefly (1–2 sentences) what the plugin does and that a free TMDB API key is required. Link the URL. Mention that IMDb ratings and richer discovery filters come from imdbapi.dev automatically — no extra key needed.
Ask for the TMDB API key. Accept either a TMDB v3 API key or a v4 read access token. When the user provides it, call config_set_api_key with apiKey. The tool performs a live smoke-test — if it errors, surface the error and ask them to retry.
Offer taste-priming (optional). Say something like "Want to spend 30 seconds priming your taste profile? I'll ask 3 quick questions and recommendations will work better from the start." If yes, ask:
preferences_set with likedGenres, dislikedGenres.preferences_set with favoriteDirectors.movies_search to resolve it to a TMDB ID, confirm the match if ambiguous, then call preferences_set with favoriteMovies: [ids...].If they decline, skip priming — preferences fill in naturally as they watch things over time (the movies-journal skill handles that).
Confirm. Call config_status again and show the result. Tell them they can now:
~/.claude/data/movies-for-ai-agents/config.json (chmod 600). Alternatively, the user can set TMDB_API_KEY in their environment — env var takes precedence over the stored value.TMDB_API_KEY already set, skip the key prompt and jump straight to taste-priming.Searches 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.
npx claudepluginhub jcodesmore/jcodesmore-plugins --plugin movies-for-ai-agents