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Publish a Python package to PyPI using uv with credentials loaded from a local .secrets file.
Install Uv Pypi Publish
$ npx skills add ML4ITS/TimeVQVAE --skill uv-pypi-publish -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ML4ITS/TimeVQVAE uv-pypi-publish --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ML4ITS/TimeVQVAE.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/uv-pypi-publish .claude/skills/uv-pypi-publish && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "uv-pypi-publish" agent skill from https://github.com/ML4ITS/TimeVQVAE/tree/main/.agents/skills/uv-pypi-publish into .claude/skills/uv-pypi-publish/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "uv-pypi-publish", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ML4ITS/TimeVQVAE/tree/main/.agents/skills/uv-pypi-publishType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ML4ITS/TimeVQVAE --skill uv-pypi-publish -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ML4ITS/TimeVQVAE uv-pypi-publish --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ML4ITS/TimeVQVAE.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/uv-pypi-publish .agents/skills/uv-pypi-publish && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "uv-pypi-publish" agent skill from https://github.com/ML4ITS/TimeVQVAE/tree/main/.agents/skills/uv-pypi-publish into .agents/skills/uv-pypi-publish/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "uv-pypi-publish", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ML4ITS/TimeVQVAE --skill uv-pypi-publish -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ML4ITS/TimeVQVAE uv-pypi-publish --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ML4ITS/TimeVQVAE.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/uv-pypi-publish .cursor/skills/uv-pypi-publish && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "uv-pypi-publish" agent skill from https://github.com/ML4ITS/TimeVQVAE/tree/main/.agents/skills/uv-pypi-publish into .cursor/skills/uv-pypi-publish/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "uv-pypi-publish", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ML4ITS/TimeVQVAE.git --path .agents/skills/uv-pypi-publish--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ML4ITS/TimeVQVAE --skill uv-pypi-publish -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ML4ITS/TimeVQVAE uv-pypi-publish --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ML4ITS/TimeVQVAE.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/uv-pypi-publish .gemini/skills/uv-pypi-publish && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "uv-pypi-publish" agent skill from https://github.com/ML4ITS/TimeVQVAE/tree/main/.agents/skills/uv-pypi-publish into .gemini/skills/uv-pypi-publish/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "uv-pypi-publish", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ML4ITS/TimeVQVAE uv-pypi-publishInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ML4ITS/TimeVQVAE --skill uv-pypi-publish -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ML4ITS/TimeVQVAE.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/uv-pypi-publish .github/skills/uv-pypi-publish && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "uv-pypi-publish" agent skill from https://github.com/ML4ITS/TimeVQVAE/tree/main/.agents/skills/uv-pypi-publish into .github/skills/uv-pypi-publish/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "uv-pypi-publish", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ML4ITS/TimeVQVAE --skill uv-pypi-publish -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ML4ITS/TimeVQVAE uv-pypi-publish --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ML4ITS/TimeVQVAE.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/uv-pypi-publish .opencode/skills/uv-pypi-publish && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "uv-pypi-publish" agent skill from https://github.com/ML4ITS/TimeVQVAE/tree/main/.agents/skills/uv-pypi-publish into .opencode/skills/uv-pypi-publish/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "uv-pypi-publish", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
uv-pypi-publish- GitHub stars
- 166
- Token cost
- ~178 tokens
- SKILL.md length
- 42 words
- Files
- 2
- Skills in repo
- 2
- Repo updated
- First seen
- Licence
- MIT
At a glance
Publish a Python package to PyPI using uv with credentials loaded from a local .secrets file.
- Works in 4 steps: Load secrets → Remove old build artifacts → Build package → …
- Asked to release a package after building
- Calls uv; needs UV_PUBLISH_TOKEN
- Run a clean rebuild (dist/ reset)
What it does
Uv Pypi Publish is an agent skill from ML4ITS/TimeVQVAE. Publish a Python package to PyPI using uv with credentials loaded from a local .secrets file. Use when asked to release a package after building, to run a clean rebuild (dist/ reset), and to publish with UVPUBLISHTOKEN from environment variables.
Its SKILL.md is about 180 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).
It sits in AI & LLM Engineering, covering Forecasting and time series, Secrets management and Deep learning. It works with Python and PyTorch. The repository describes itself as: [official] PyTorch implementation of TimeVQVAE from the paper ["Vector Quantized Time Series Generation with a Bidirectional Prior Model", AISTATS 2023]. The licence is MIT.
When your agent uses it
- Asked to release a package after building
- Run a clean rebuild (dist/ reset)
- To publish with UVPUBLISHTOKEN from environment variables
Example prompts
- “/uv-pypi-publish”
Requirements
- Python 3
- A credential in UV_PUBLISH_TOKEN
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Load secrets
- Remove old build artifacts
- Build package
- Publish with token
What it can do on your machine
Read from SKILL.md and the folder at commit 39f98e9. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
uv
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
UV_PUBLISH_TOKEN
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Uv Pypi Publish loads about 178 tokens when it runs. Until then it costs about 68 tokens; SKILL.md has 42 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from ML4ITS/TimeVQVAE at commit 39f98e9, republished under its MIT licence (© ML4ITS). 42 words, ~178 tokens.
Download SKILL.mdSave it as
.claude/skills/uv-pypi-publish/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- uv-pypi-publish
- description
- Publish a Python package to PyPI using uv with credentials loaded from a local `.secrets` file. Use when asked to release a package after building, to run a clean rebuild (`dist/` reset), and to publish with `UV_PUBLISH_TOKEN` from environment variables.
Uv Pypi Publish
Execute this workflow in order when publishing:
- Load secrets:
source .secrets- Remove old build artifacts:
rm -rf dist/- Build package:
uv build- Publish with token:
UV_PUBLISH_TOKEN=$UV_PUBLISH_TOKEN uv publishIf UV_PUBLISH_TOKEN is empty after sourcing, stop and report that publishing cannot proceed without a valid token.
© ML4ITS, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file in .agents/skills/uv-pypi-publish of ML4ITS/TimeVQVAE.
- SKILL.md
- agents/openai.yaml
Open the folder on GitHubat commit 39f98e9
Compare with similar skills
Uv Pypi Publish next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Uv Pypi Publish this skillML4ITS/TimeVQVAE | 166 | — | ~178 | Automated safety check: Pass | MIT | |
| Technology Selectiondotnet/skills | 5.6k | 1 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Physicsnemo DiscoverNVIDIA/skills | 3.6k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | |
| PyTorch Lightning TrainingOrchestra-Research/AI-Research-SKILLs | 13k | 6 repos | ~2.3k | Automated safety check: Pass | MIT | |
| Formattingbrendanhasz/probflow | 175 | — | ~381 | Automated safety check: Pass | MIT | |
| Alphagenome Predictionsgenomicsxai/alphagenome-pytorch | 162 | — | ~868 | Automated safety check: Pass | Apache-2.0 |
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Questions about Uv Pypi Publish
What does Uv Pypi Publish do?
Publish a Python package to PyPI using uv with credentials loaded from a local .secrets file. Uv Pypi Publish is an agent skill from ML4ITS/TimeVQVAE.secrets file.
When should I use Uv Pypi Publish?
Uv Pypi Publish fits situations like: asked to release a package after building; run a clean rebuild (dist/ reset); to publish with UVPUBLISHTOKEN from environment variables.
How do I install Uv Pypi Publish in Claude Code?
Run `npx skills add ML4ITS/TimeVQVAE --skill uv-pypi-publish -a claude-code`. Or copy the skill folder (.agents/skills/uv-pypi-publish in ML4ITS/TimeVQVAE) into .claude/skills/uv-pypi-publish in your project. Claude Code loads it when a task matches its description.
How do I install Uv Pypi Publish in Codex?
Run `npx skills add ML4ITS/TimeVQVAE --skill uv-pypi-publish -a codex`. Or copy the skill folder (.agents/skills/uv-pypi-publish in ML4ITS/TimeVQVAE) into .agents/skills/uv-pypi-publish in your project. Codex loads it when a task matches its description.
Can I use Uv Pypi Publish in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ML4ITS/TimeVQVAE --skill uv-pypi-publish -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/uv-pypi-publish, .gemini/skills/uv-pypi-publish, .github/skills/uv-pypi-publish and .opencode/skills/uv-pypi-publish in your project.
What does Uv Pypi Publish need to run?
Going by SKILL.md and its folder, Uv Pypi Publish needs the command-line tools its instructions call (uv) and credentials named UV_PUBLISH_TOKEN. Our summary lists: Python 3; A credential in UV_PUBLISH_TOKEN.
Does Uv Pypi Publish access the network?
SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Uv Pypi Publish safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Uv Pypi Publish use?
Uv Pypi Publish is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Uv Pypi Publish use?
About 178 tokens (SKILL.md is roughly 712 characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Uv Pypi Publish?
Skills that share tags, products or a category with Uv Pypi Publish: Technology Selection (dotnet/skills, 5.6k stars), Physicsnemo Discover (NVIDIA/skills, 3.6k stars), PyTorch Lightning Training (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Formatting (brendanhasz/probflow, 175 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Uv Pypi Publish?
ML4ITS (a GitHub organization) maintains it in ML4ITS/TimeVQVAE, which has 166 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on March 1, 2026.
Source: ML4ITS/TimeVQVAE on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.