openai-yeet
Use only when the user explicitly asks to stage, commit, push, and open a GitHub pull request in one flow using the GitHub CLI (`gh`). Originally from OpenAI's curated skills catalog.
Best use case
openai-yeet is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Use only when the user explicitly asks to stage, commit, push, and open a GitHub pull request in one flow using the GitHub CLI (`gh`). Originally from OpenAI's curated skills catalog.
Teams using openai-yeet should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/openai-yeet/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How openai-yeet Compares
| Feature / Agent | openai-yeet | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Use only when the user explicitly asks to stage, commit, push, and open a GitHub pull request in one flow using the GitHub CLI (`gh`). Originally from OpenAI's curated skills catalog.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
## Prerequisites
- Require GitHub CLI `gh`. Check `gh --version`. If missing, ask the user to install `gh` and stop.
- Require authenticated `gh` session. Run `gh auth status`. If not authenticated, ask the user to run `gh auth login` (and re-run `gh auth status`) before continuing.
## Naming conventions
- Branch: `claude/{description}` when starting from main/master/default.
- Commit: `{description}` (terse).
- PR title: `[claude] {description}` summarizing the full diff.
## Workflow
- If on main/master/default, create a branch: `git checkout -b "claude/{description}"`
- Otherwise stay on the current branch.
- Confirm status, then stage everything: `git status -sb` then `git add -A`.
- Commit tersely with the description: `git commit -m "{description}"`
- Run checks if not already. If checks fail due to missing deps/tools, install dependencies and rerun once.
- Push with tracking: `git push -u origin $(git branch --show-current)`
- If git push fails due to workflow auth errors, pull from master and retry the push.
- Open a PR and edit title/body to reflect the description and the deltas: `GH_PROMPT_DISABLED=1 GIT_TERMINAL_PROMPT=0 gh pr create --draft --fill --head $(git branch --show-current)`
- Write the PR description to a temp file with real newlines (e.g. pr-body.md ... EOF) and run pr-body.md to avoid \\n-escaped markdown.
- PR description (markdown) must be detailed prose covering the issue, the cause and effect on users, the root cause, the fix, and any tests or checks used to validate.
## When to Use
<!-- TODO: review -->
## When NOT to Use
<!-- TODO: review -->Related Skills
openai-spreadsheet
Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified. Originally from OpenAI's curated skills catalog.
openai-sentry
Use when the user asks to inspect Sentry issues or events, summarize recent production errors, or pull basic Sentry health data via the Sentry API; perform read-only queries with the bundled script and require `SENTRY_AUTH_TOKEN`. Originally from OpenAI's curated skills catalog.
openai-security-threat-model
Repository-grounded threat modeling that enumerates trust boundaries, assets, attacker capabilities, abuse paths, and mitigations, and writes a concise Markdown threat model. Trigger only when the user explicitly asks to threat model a codebase or path, enumerate threats/abuse paths, or perform AppSec threat modeling. Do not trigger for general architecture summaries, code review, or non-security design work. Originally from OpenAI's curated skills catalog.
openai-security-ownership-map
Analyze git repositories to build a security ownership topology (people-to-file), compute bus factor and sensitive-code ownership, and export CSV/JSON for graph databases and visualization. Trigger only when the user explicitly wants a security-oriented ownership or bus-factor analysis grounded in git history (for example: orphaned sensitive code, security maintainers, CODEOWNERS reality checks for risk, sensitive hotspots, or ownership clusters). Do not trigger for general maintainer lists or non-security ownership questions. Originally from OpenAI's curated skills catalog.
openai-security-best-practices
Perform language and framework specific security best-practice reviews and suggest improvements. Trigger only when the user explicitly requests security best practices guidance, a security review/report, or secure-by-default coding help. Trigger only for supported languages (python, javascript/typescript, go). Do not trigger for general code review, debugging, or non-security tasks. Originally from OpenAI's curated skills catalog.
openai-screenshot
Use when the user explicitly asks for a desktop or system screenshot (full screen, specific app or window, or a pixel region), or when tool-specific capture capabilities are unavailable and an OS-level capture is needed. Originally from OpenAI's curated skills catalog.
openai-playwright
Use when the task requires automating a real browser from the terminal (navigation, form filling, snapshots, screenshots, data extraction, UI-flow debugging) via `playwright-cli` or the bundled wrapper script. Originally from OpenAI's curated skills catalog.
openai-pdf
Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as `reportlab`, `pdfplumber`, and `pypdf` for generation and extraction. Originally from OpenAI's curated skills catalog.
openai-netlify-deploy
Deploy web projects to Netlify using the Netlify CLI (`npx netlify`). Use when the user asks to deploy, host, publish, or link a site/repo on Netlify, including preview and production deploys. Originally from OpenAI's curated skills catalog.
openai-jupyter-notebook
Use when the user asks to create, scaffold, or edit Jupyter notebooks (`.ipynb`) for experiments, explorations, or tutorials; prefer the bundled templates and run the helper script `new_notebook.py` to generate a clean starting notebook. Originally from OpenAI's curated skills catalog.
openai-gh-fix-ci
Use when a user asks to debug or fix failing GitHub PR checks that run in GitHub Actions; use `gh` to inspect checks and logs, summarize failure context, draft a fix plan, and implement only after explicit approval. Treat external providers (for example Buildkite) as out of scope and report only the details URL. Originally from OpenAI's curated skills catalog.
openai-gh-address-comments
Help address review/issue comments on the open GitHub PR for the current branch using gh CLI; verify gh auth first and prompt the user to authenticate if not logged in. Originally from OpenAI's curated skills catalog.