How do I install the Video Teaser skill?

Run npx skillmds@latest add nanoodlecom/video-teaser in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Video Teaser safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Video Teaser?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Video Teaser free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Video Teaser?

nanoodlecom (@nanoodlecom) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Video Teaser by nanoodlecom — Agent Skill

Name: Video Teaser
Author: nanoodlecom

Video Teaser

Turn a one-liner into a short video clip — an LLM expands the line into a cinematic shot description, then a text-to-video model renders a 5-second teaser. Use when the user wants a short video, teaser, clip, or animated shot from a sentence.

nanoodlecom 0d281d2 2 files · 3.9 KB Updated Sep 17, 2026

File contents

Video teaser

Runs the bundled nanoodle workflow workflows/video-teaser.noodle-graph.json against the NanoGPT API: a one-liner (Tagline) feeds an LLM that writes a single cinematic shot description, which feeds a text-to-video model that renders a 5-second 480p clip (Teaser). Requires Node.js >= 20 and the nanoodle npm package (npx nanoodle fetches it).

API key

The run needs a NanoGPT API key. Prefer NANOGPT_API_KEY already in the environment. Otherwise pass --env-file <path-to-.env> (this CLI: --env-file overrides ambient env).

Never print the key.

Run

From this skill's directory (or prefix paths if running from elsewhere). Replace the Tagline value with the user's line:

npx nanoodle run workflows/video-teaser.noodle-graph.json \
  --input "Tagline=a slow cinematic drone shot over a misty mountain valley at sunrise" \
  --out ./teaser-out

Add --env-file .env only when the key is not already exported. Add --json for a structured result (paths, costUsd, remainingBalance). Video generation typically takes a few minutes — don't kill the run early.

Optional overrides (each raises cost — see Cost below):

--input "Shot writer=<custom shot-writer instructions>"
--set "n3.resolution=720p"      # sharper (about $0.08/run) — 1080p about $0.12
--set "n3.duration=10"          # longer clip (roughly doubles the video cost)
--set "n3.aspect=9:16"          # portrait

Inspect the interface anytime with:

npx nanoodle inspect workflows/video-teaser.noodle-graph.json

Inputs

Key	Required	What to pass
`Tagline`	yes	The one-line concept for the clip
`Shot writer`	no	Custom instructions for the shot-writing LLM (its system prompt)

Shot writer is the node name shown in the editor. It replaces that node's system prompt.

Outputs

Media is saved under --out as Teaser.<ext> — extension follows the video MIME (usually mp4). Use the path the CLI prints on the Teaser: line; do not hard-code the extension.
With --json, the path is in outputs.Teaser.

Cost

Each run costs about $0.06 in NanoGPT credit at the default 5 seconds / 480p (ltx-2-19b bills per second by resolution; the LLM step is a fraction of a cent). Higher resolution or 10-second clips cost proportionally more. Runs spend real credit — tell the user before running repeatedly.

---name: video-teaserdescription: Turn a one-liner into a short video clip — an LLM expands the line into a cinematic shot description, then a text-to-video model renders a 5-second teaser. Use when the user wants a short video, teaser, clip, or animated shot from a sentence.---# Video teaserRuns the bundled nanoodle workflow `workflows/video-teaser.noodle-graph.json` against theNanoGPT API: a one-liner (`Tagline`) feeds an LLM that writes a single cinematic shotdescription, which feeds a text-to-video model that renders a 5-second 480p clip(`Teaser`). Requires Node.js >= 20 and the `nanoodle` npm package (`npx nanoodle` fetchesit).## API keyThe run needs a NanoGPT API key. Prefer `NANOGPT_API_KEY` already in the environment.Otherwise pass `--env-file <path-to-.env>` (this CLI: `--env-file` overrides ambient env).Never print the key.## RunFrom this skill's directory (or prefix paths if running from elsewhere). Replace the`Tagline` value with the user's line:```shnpx nanoodle run workflows/video-teaser.noodle-graph.json \ --input "Tagline=a slow cinematic drone shot over a misty mountain valley at sunrise" \ --out ./teaser-out```Add `--env-file .env` only when the key is not already exported. Add `--json` for astructured result (paths, costUsd, remainingBalance). Video generation typically takes afew minutes — don't kill the run early.Optional overrides (each raises cost — see Cost below):```sh--input "Shot writer=<custom shot-writer instructions>"--set "n3.resolution=720p" # sharper (about $0.08/run) — 1080p about $0.12--set "n3.duration=10" # longer clip (roughly doubles the video cost)--set "n3.aspect=9:16" # portrait```Inspect the interface anytime with:```shnpx nanoodle inspect workflows/video-teaser.noodle-graph.json```## Inputs| Key | Required | What to pass ||-----|----------|--------------|| `Tagline` | yes | The one-line concept for the clip || `Shot writer` | no | Custom instructions for the shot-writing LLM (its system prompt) |`Shot writer` is the node name shown in the editor. It replaces that node's system prompt.## Outputs- Media is saved under `--out` as `Teaser.<ext>` — extension follows the video MIME (usually `mp4`). **Use the path the CLI prints on the `Teaser:` line**; do not hard-code the extension.- With `--json`, the path is in `outputs.Teaser`.## CostEach run costs about **$0.06** in NanoGPT credit at the default 5 seconds / 480p(`ltx-2-19b` bills per second by resolution; the LLM step is a fraction of a cent).Higher resolution or 10-second clips cost proportionally more. Runs spend real credit —tell the user before running repeatedly.

Frequently asked questions