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poster-generator

Skill2 starsChanged 22 days agoMITView on GitHub

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.

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    1. howardz27/poster-generator-skill★ 9same name

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

  • In this repository10 other files it gives its agents.

The file

We split this skill into the rules it gives an agent

2 rules. About 0 are common, 1 is distinctive, and 1 is very specific to this project.

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    This author's own choices. Worth a look.

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  1. Distinctive:

    Never print the key.

    line 22
  2. Very specific:

    Add --env-file .env only when the key is not already exported.

    line 35

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

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 22.23.4+, 24.22.1+, or 26.12.1+ 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

KeyRequiredWhat to pass
IdeayesThe poster concept, one line is enough
System promptnoCustom 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.

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