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worldjen-skills
worldjen-skills contient 7 skills collectées depuis moonmath-ai, avec une couverture métier par dépôt et des pages de détail sur le site.
Skills dans ce dépôt
Benchmark or evaluate an entire AI model. Create, list, inspect, and compare WorldJen Bench runs — large-scale evaluation across many prompts and dimensions, executed on a GPU worker queue. Invoke ONLY when the target is a whole model — a model id, a checkpoint, a Hugging Face repo, "the model", "my model", comparing two models, tracking drift across model versions, or gating CI on a model's benchmark. To score an individual clip, video, or image, use `worldjen-score` instead, NOT this skill. Backed by `worldjen bench create / list / get / cancel / delete / logs / csv / videos / download-videos`. NOT for runner host setup (use `worldjen-runner`) or ranking clips that share a prompt (use `worldjen-rank`).
Install or upgrade the WorldJen SDK and CLI in the active Python environment. Use when setting up `worldjen` for the first time, switching between core and runner installs, verifying the install, or upgrading to the latest `worldjen` / `worldjen[runner]` release (auto-restarts the runner systemd service so it picks up the new version). NOT for runner host registration (see `worldjen-runner`), benchmark run lifecycle (see `worldjen-bench`), or upgrading the worldjen-skills plugin itself (see `worldjen-update`).
Fetch the public WorldJen leaderboard. Use when the user wants model rankings, available evaluation dimensions, or a comparison of top entries. No auth required.
Rank or compare several generated clips that share one prompt into a leaderboard. Upload candidate videos or images to the user-scoped Rank session and get them sorted best-to-worst; the session locks to the first prompt (server-enforced). Invoke ONLY when the user explicitly asks to rank, sort, compare, or pick the best among multiple clips, variants, or candidates for the same prompt. Backed by `worldjen rank get/upload/current/reset`. For raw scores on a single clip use `worldjen-score`; for benchmarking an entire AI model use `worldjen-bench`.
Set up and operate the WorldJen runner host — the GPU worker daemon that pulls evaluation jobs and executes them. Use when registering, starting, stopping, or inspecting a Linux+systemd machine that runs WorldJen jobs. NOT for evaluation run lifecycle (use `worldjen-bench` for that).
Score an individual generated clip, video, or image. Upload one (or a few) media files to the user-scoped Score session and get raw per-dimension quality scores back, with optional custom prompt and dimension selection. This is the DEFAULT for "score it / score this / score these" whenever the target is a piece of media — a clip, video, image, shot, frame, generation, or output — and NOT an entire AI model. Use for quick feedback on a generation, A/B-ing two clips, or inspecting evaluator scores without a full benchmark. If it is unclear whether "it" means a single clip or a whole model, ask the user before scoring. Backed by `worldjen score get/reset/upload`. For ranking several clips that share a prompt use `worldjen-rank`; for benchmarking an entire model use `worldjen-bench`.
Upgrade the worldjen-skills plugin to the latest release. Use when an `UPGRADE_AVAILABLE` banner appears in another skill's preamble, or when the user asks to update / upgrade the worldjen skills.