How do I install the Poster Generator skill?

Run npx skillmds@latest add nanoodlecom/poster-generator-2 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 Poster Generator 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 Poster Generator?

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 Poster Generator free to use?

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

Who published Poster Generator?

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

Poster Generator by nanoodlecom — Agent Skill

Name: Poster Generator
Author: nanoodlecom

Poster Generator

Generate a poster image from a short idea — an LLM expands the idea into a detailed image prompt, then an image model renders it. Use when the user asks for a poster, illustration, or promo image from a one-line concept.

nanoodlecom Updated Sep 22, 2026

File contents

Poster generator

Runs the bundled nanoodle workflow workflows/poster.noodle-graph.json against the NanoGPT API: a text input (Idea) feeds an LLM that writes a vivid image prompt, which feeds an image model that renders the poster (Poster). Requires Node.js >= 20 and the nanoodle npm package (npx nanoodle fetches it).

API key

The run needs a NanoGPT API key. Use whichever is available:

NANOGPT_API_KEY already set in the environment — prefer this; no extra flags.
A .env file containing NANOGPT_API_KEY=... — pass --env-file <path> only when the key is not already in the environment. (With this CLI, --env-file overrides ambient NANOGPT_API_KEY.)

Never print the key.

Run

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

npx nanoodle run workflows/poster.noodle-graph.json \
  --input "Idea=a cozy ramen shop on a rainy night" \
  --out ./poster-out

Add --env-file .env only when the key is not already exported. For a machine-readable payload (paths, cost, balance), add --json.

Optional style override (the workflow also exposes this input):

--input "System prompt=<custom image-prompt writer instructions>"

Inspect the interface anytime with:

npx nanoodle inspect workflows/poster.noodle-graph.json

Inputs

Key	Required	What to pass
`Idea`	yes	The poster concept, one line is enough
`System prompt`	no	Custom instructions for the prompt-writing LLM

Outputs

Media is saved under --out as Poster.<ext> where <ext> follows the image MIME (often jpg or png). Use the path the CLI prints on the Poster: line — do not hard-code .png.
With --json, the path is in outputs.Poster (and cost/balance in the same object).
The CLI also prints total cost (and remaining balance when the API reports it) to stderr.

Cost

Each run costs about $0.04 in NanoGPT credit (the image step, nano-banana-2-lite, dominates; the LLM prompt-writing step is a fraction of a cent). Runs spend real credit — tell the user before running repeatedly.

---name: poster-generator-2description: Generate a poster image from a short idea — an LLM expands the idea into a detailed image prompt, then an image model renders it. Use when the user asks for a poster, illustration, or promo image from a one-line concept.---# Poster generatorRuns the bundled nanoodle workflow `workflows/poster.noodle-graph.json` against the NanoGPTAPI: a text input (`Idea`) feeds an LLM that writes a vivid image prompt, which feeds animage model that renders the poster (`Poster`). Requires Node.js >= 20 and the `nanoodle`npm package (`npx nanoodle` fetches it).## API keyThe run needs a NanoGPT API key. Use whichever is available:- `NANOGPT_API_KEY` already set in the environment — prefer this; no extra flags.- A `.env` file containing `NANOGPT_API_KEY=...` — pass `--env-file <path>` only when the key is not already in the environment. (With this CLI, `--env-file` overrides ambient `NANOGPT_API_KEY`.)Never print the key.## RunFrom this skill's directory (or prefix paths if running from elsewhere). Replace the `Idea`value with the user's concept:```shnpx nanoodle run workflows/poster.noodle-graph.json \ --input "Idea=a cozy ramen shop on a rainy night" \ --out ./poster-out```Add `--env-file .env` only when the key is not already exported. For a machine-readablepayload (paths, cost, balance), add `--json`.Optional style override (the workflow also exposes this input):```sh--input "System prompt=<custom image-prompt writer instructions>"```Inspect the interface anytime with:```shnpx nanoodle inspect workflows/poster.noodle-graph.json```## Inputs| Key | Required | What to pass ||-----|----------|--------------|| `Idea` | yes | The poster concept, one line is enough || `System prompt` | no | Custom instructions for the prompt-writing LLM |## Outputs- Media is saved under `--out` as `Poster.<ext>` where `<ext>` follows the image MIME (often `jpg` or `png`). **Use the path the CLI prints on the `Poster:` line** — do not hard-code `.png`.- With `--json`, the path is in `outputs.Poster` (and cost/balance in the same object).- The CLI also prints total cost (and remaining balance when the API reports it) to stderr.## CostEach run costs about **$0.04** in NanoGPT credit (the image step, `nano-banana-2-lite`,dominates; the LLM prompt-writing step is a fraction of a cent). Runs spend real credit —tell the user before running repeatedly.

Frequently asked questions