Nanogpt
CheckedNanogpt generates concise, creative text snippets – perfect for sparking ideas or quickly crafting short content pieces.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add davila7/claude-code-templates --skill nanogpt -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
davila7
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned davila7/claude-code-templates at 79182c51fb.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 79182c51fb
- Scanned
- 4 files, 1,584 lines
About this skill
What it does
This skill, nanoGPT, provides a simplified implementation of the GPT language model for learning and experimentation. It allows an AI agent to generate short text snippets based on training data, mimicking styles like Shakespeare or other custom datasets. The tool is designed to be accessible even with limited computational resources, offering CPU-friendly training options.
When to use it
- Generating creative writing prompts or story ideas.
- Creating short, stylized content pieces (e.g., imitating a specific author).
- Experimenting with language model training and architecture.
- Quickly prototyping text generation models on custom datasets.
- Demonstrating the basics of GPT model functionality.
Key capabilities
- Character-level text generation (e.g., mimicking Shakespeare)
- Training on custom datasets
- Fine-tuning pre-trained GPT-2 models
- CPU and GPU training options
- Configurable model architecture (number of layers, attention heads, embedding dimensions, context block size)
Example prompts
- "Generate a short text snippet in the style of Shakespeare."
- "Write a few lines mimicking the tone of [specific author]."
- "Create some text based on my custom dataset about [topic]."
Tips & gotchas
- Training can be computationally intensive, especially for larger datasets or more complex models. Training times vary significantly depending on hardware (CPU vs GPU).
- The quality of the generated text depends heavily on the training data used. Smaller datasets may produce less coherent results.
- For fine-tuning, a lower learning rate is generally recommended compared to initial training.