magnus919_agent-skills/trakt/SKILL.md

name, description, license, compatibility, metadata

name	description	license	compatibility	metadata
trakt	Discover and compare Trakt.tv trending, popular, and anticipated movies and shows, and manage user-scoped history and watchlists from the terminal. Do not use this skill for general TMDb catalog metadata, credits, images, or provider lookups; use `tmdb` for those tasks.	MIT	Requires TRAKT_CLIENT_ID, Python 3.8+, and requests. Public discovery reads use an application Client ID; OAuth is only needed for user-scoped operations.	tags sources trakt, media-discovery, movies, tv-shows, trending, api-client https://docs.trakt.tv/docs/required-headers

Trakt media discovery

Use this skill to inspect what is being watched, what is broadly popular, and what is anticipated. It is a read-only discovery surface, not a catalog metadata service.

Setup and authentication

Register an app at Trakt OAuth applications and export its Client ID:

export TRAKT_CLIENT_ID="YOUR_TRAKT_CLIENT_ID"

Every request must send trakt-api-key: <client id> together with the mandatory companion header trakt-api-version: 2, plus JSON content type and a descriptive User-Agent. Public discovery endpoints use the key header, not Authorization: Bearer. OAuth bearer tokens are for endpoints marked OAuth-required or for user-scoped lists, history, collection, watchlist, and mutations; a bearer token does not replace the key/version pair.

Essential commands

All six discovery commands accept --page N alongside --limit N; both default to 1 and 10 respectively and are forwarded to the API's query string.

Trending: watched in the last 24 hours

trakt movie trending --limit 20
trakt tv trending --limit 20 --page 2 --json

Trending responses wrap each media object in movie or show and include a watchers count.

Popular: broad popularity ranking

trakt movie popular --limit 25 --json
trakt tv popular --page 2 --limit 25

Popular is a ranking based on rating percentage and number of ratings, not a personalized recommendation.

Anticipated: upcoming interest

trakt movie anticipated --page 3 --limit 10
trakt tv anticipated --limit 10 --json

Anticipated reflects list appearances and upcoming interest. It is not the same as a release calendar.

Global flags can appear before or after the resource: --json, --dry-run, --quiet, and --verbose.

Pipeline recipes

Trending handoff to another tool

1. Run trakt --json movie trending --limit 20.
2. Unwrap .movie, retaining .watchers as the watch signal.
3. Pass an available .movie.ids.tmdb or .movie.ids.imdb to a downstream tool; do not assume a missing ID can be synthesized.

trakt --json movie trending --limit 20 |
  jq '.movies[] | {title: (.movie.title // .title), year: (.movie.year // null), watchers: (.watchers // null), ids: (.movie.ids // .ids)}'

Compare discovery signals

Fetch matching pages of trending, popular, and anticipated (e.g. --page 1 for each), then label each dataset before combining it. Trending is recent watching, popular is broad ranking, and anticipated is upcoming interest.

Page through anticipated until the feed ends

Loop --page, read pagination.page_count from JSON output to pick the stop page, and break early if a page returns no items:

for p in $(seq 1 "$(trakt --json movie anticipated --page 1 --limit 100 | jq -r '.pagination.page_count')"); do
  trakt --json movie anticipated --page "$p" --limit 100 |
    jq --arg p "$p" '{page: ($p|tonumber), pagination: .pagination,
                      movies: [.movies[] | {title: (.movie.title // .title), year: (.movie.year // null)}]}'
done

Keep per-page output as labeled NDJSON; merge afterwards. On 429, wait out Retry-After before continuing the loop.

JSON and pagination

--json emits an object with a movies or shows array (trending entries retain their wrapper) plus a pagination object whose keys mirror the API's X-Pagination-* headers: page, limit, page_count, item_count. Pagination keys are ints when the headers were present and the object is empty {} when they were absent, so jq like .pagination.page_count // 1 degrades safely. Human output appends a Page N of M line when the headers are present and stays silent otherwise. The API defaults to page 1 with limit 10 for compatibility; set both explicitly for reproducible automation, and stop at page_count rather than assuming a short page is the end.

Known gotchas

• Header pair is mandatory: sending trakt-api-key without trakt-api-version: 2 (or vice versa) can yield an invalid-request/authentication-style failure. The bundled script injects both on every live request.
• 401 versus 403: 401 commonly indicates an OAuth requirement or invalid authorization; 403 indicates an invalid or unapproved application key. Do not retry either blindly.
• Rate limits: on 429, honor Retry-After and inspect X-Ratelimit. Use bounded retries; transient 502/503/504 responses may be retried with backoff.
• OAuth refresh: access tokens last seven days and refresh tokens are single-use. Replace the stored refresh token after a successful refresh; invalid_grant requires reauthorization.
• Trakt is not TMDb: Trakt IDs and discovery rankings are not TMDb metadata. Use the tmdb skill for credits, images, provider metadata, and catalog enrichment.
• Trending shape: read .movie or .show before title/IDs, while preserving watchers.
• Pagination is per invocation: one CLI call fetches exactly one page (--page); loop invocations reading pagination.page_count rather than expecting the script to follow links itself.

When to use

Use Trakt for current watching signals, broad popularity, anticipated interest, and identifiers that feed a media workflow.

When not to use

Do not use Trakt for TMDb catalog metadata, credits, images, provider availability, or for writing a user's lists without an explicit OAuth-enabled workflow. Use tmdb for metadata and a dedicated authenticated operation for mutations.

Reference files

File	Topic
references/auth-and-request-contract.md	Required headers, OAuth boundary, errors, and rate limits
references/discovery-endpoints.md	Endpoint semantics, filters, response shapes, and pagination
references/recipes-and-operations.md	Pipelines, jq normalization, and operational handling

Available script and prerequisites

• scripts/trakt is an executable Python CLI using only stdlib and requests.
• --dry-run works without a Client ID and never performs network I/O.
• Live discovery requires TRAKT_CLIENT_ID; tests are mock-only.