SKILL.md essential commands show --page usage, add a seq/jq page-loop
recipe driven by the pagination.page_count field of the JSON output
(with 429 Retry-After handling), and document that --json emits
movies/shows plus the normalized pagination object whose keys mirror
X-Pagination-* headers, degrading to {} when headers are absent; human
output notes the Page N of M footer rule. References state
per-invocation paging and the same degradation fallback. Evals replace
the header-only pagination case with an executable loop case and a
second-page trending case asserting --page, pagination keys, and array
preservation. README Quick Start and test-table rows updated to match.
Co-authored-by: factory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>
2.0 KiB
Trakt — Media Discovery Signals in the Terminal
Why Install This Skill
Give your agent a reliable way to answer "what is everyone watching?" without confusing a current Trakt discovery ranking with a metadata catalog. The skill covers movies and shows that are trending, broadly popular, or anticipated, and produces JSON that can feed media automation.
Public discovery reads need an application Client ID, not a user login. OAuth boundaries, required headers, pagination, rate-limit behavior, and the difference between Trakt IDs and TMDb metadata are documented so workflows fail clearly instead of silently mixing services.
What You Get
| Path | Purpose |
|---|---|
SKILL.md |
Command guide, recipes, gotchas, and routing |
scripts/trakt |
Executable CLI with JSON and dry-run modes |
scripts/test_trakt.py |
Offline pytest and unittest suite, including header injection and pagination |
references/auth-and-request-contract.md |
Required headers, OAuth boundary, and errors |
references/discovery-endpoints.md |
Trending/popular/anticipated semantics and paging |
references/recipes-and-operations.md |
jq pipelines and rate-safe operations |
evals/evals.json |
Six representative usage-quality cases |
Quick Start
export TRAKT_CLIENT_ID="YOUR_TRAKT_CLIENT_ID"
trakt movie trending --limit 10
trakt --json tv anticipated --page 2 | jq '.pagination'
Create a free Client ID at trakt.tv/oauth/applications. Preview commands with trakt --dry-run --json movie popular without credentials or network access.
Triggers
Load this skill for Trakt API discovery, trending movies or shows, popular rankings, anticipated releases, watch-signal pipelines, or Trakt pagination and authentication questions. Do not use it for TMDb catalog metadata, credits, images, or provider lookups.
Requirements
- Python 3.8 or newer
requests- A Trakt application Client ID in
TRAKT_CLIENT_IDfor live reads - No OAuth login is needed for the public discovery commands