pr-draft-summary

par openai

Créer le bloc de résumé prêt pour la PR, la suggestion de branche, le titre et la description de brouillon pour openai-agents-python. Utiliser lors du transfert final après…

npx skills add https://github.com/openai/openai-agents-python --skill pr-draft-summary

PR Draft Summary

Purpose

Produce the PR-ready summary required in this repository after eligible code work is complete: a concise summary plus a PR-ready title and draft description that begins with "This pull request ...". The block should be ready to paste into a PR for openai-agents-python.

When to Trigger

  • Before every final response, check whether the current task changed runtime code (src/agents/), tests (tests/), examples (examples/), build/test configuration, or docs with behavior impact.
  • If it did, run this skill after required verification and before sending the final response. Do not use perceived change size to decide whether to run it.
  • Run it for eligible local-only and uncommitted work even when the user did not ask to create a pull request. Producing this text does not authorize creating a branch, committing, pushing, or opening a pull request.
  • Skip only for trivial or conversation-only tasks, repo-meta/doc-only tasks without behavior impact, an explicitly invoked $release-candidate-prep handoff that uses the complete $final-release-review report as its release-specific PR description, or when the user explicitly says not to include the PR draft block. This exception applies to preparing the release candidate itself, not to implementing or changing the release-preparation skill.

Inputs to Collect Automatically (do not ask the user)

  • Current branch: git rev-parse --abbrev-ref HEAD.
  • Working tree: git status -sb.
  • Untracked files: git ls-files --others --exclude-standard (use with git status -sb to ensure they are surfaced; --stat does not include them).
  • Changed files: git diff --name-only (unstaged) and git diff --name-only --cached (staged); sizes via git diff --stat and git diff --stat --cached.
  • Latest release tag (prefer remote-aware lookup): LATEST_RELEASE_TAG=$(.agents/skills/final-release-review/scripts/find_latest_release_tag.sh origin 'v*' 2>/dev/null || git tag -l 'v*' --sort=-v:refname | head -n1).
  • Base reference (use the branch's upstream, fallback to origin/main):
    • BASE_REF=$(git rev-parse --abbrev-ref --symbolic-full-name @{upstream} 2>/dev/null || echo origin/main).
    • BASE_COMMIT=$(git merge-base --fork-point "$BASE_REF" HEAD || git merge-base "$BASE_REF" HEAD || echo "$BASE_REF").
  • Commits ahead of the base fork point: git log --oneline --no-merges ${BASE_COMMIT}..HEAD.
  • Category signals for this repo: runtime (src/agents/), tests (tests/), examples (examples/), docs (docs/, mkdocs.yml), build/test config (pyproject.toml, uv.lock, Makefile, .github/).

Workflow

  1. Run the commands above without asking the user; compute BASE_REF/BASE_COMMIT first so later commands reuse them.
  2. If there are no staged/unstaged/untracked changes and no commits ahead of ${BASE_COMMIT}, reply briefly that no code changes were detected and skip emitting the PR block.
  3. Infer change type from the touched paths listed under "Category signals"; classify as feature, fix, refactor, or docs-with-impact, and flag backward-compatibility risk only when the diff changes released public APIs, external config, persisted data, serialized state, or wire protocols. Judge that risk against LATEST_RELEASE_TAG, not unreleased branch-only churn.
  4. Summarize changes in 1–3 short sentences using the key paths (top 5) and git diff --stat output; explicitly call out untracked files from git status -sb/git ls-files --others --exclude-standard because --stat does not include them. If the working tree is clean but there are commits ahead of ${BASE_COMMIT}, summarize using those commit messages.
  5. Choose the lead verb for the description: feature → adds, bug fix → fixes, refactor/perf → improves or updates, docs-only → updates.
  6. Suggest a branch name. If already off main, keep it; otherwise propose feat/<slug>, fix/<slug>, or docs/<slug> based on the primary area (e.g., docs/pr-draft-summary-guidance).
  7. If the current branch matches issue-<number> (digits only), keep that branch suggestion. Optionally pull light issue context (for example via the GitHub API) when available, but do not block or retry if it is not. When an issue number is present, use the native same-repository reference #<number> and include an auto-closing line such as This pull request resolves #<number>.. Do not add the explicit issue URL or wrap the reference in a Markdown link.
  8. Draft the PR title and description using the template below. Apply the repository-wide GitHub paste-readiness rule: use exactly #123 for same-repository issues or PRs and owner/repo#123 for cross-repository references; never emit [PR #123](https://github.com/owner/repo/pull/123), [#123](...), Codex navigation links, local file links, Codex-only citation markers or footnotes, or app directives in the copy-ready block. Preserve ordinary descriptive links to API docs, design notes, and other targets without native GitHub issue or pull-request syntax.
  9. Normalize references before returning the block: replace every same-repository URL or openai/openai-agents-python#<number> reference with #<number>, replace every cross-repository issue or pull-request URL with owner/repo#<number>, then rescan the full block. Do not return it while a Markdown-linked issue or pull-request label, a same-repository qualified reference, or a bare GitHub issue or pull-request URL remains.
  10. Output only the block in "Output Format". Keep any surrounding status note minimal and in English.

Output Format

When closing out a task, add this concise Markdown block (English only) after any brief status note unless the task falls under the documented skip cases or the user says they do not want it.

# Pull Request Draft

## Branch name suggestion

git checkout -b <kebab-case suggestion, e.g., feat/pr-draft-summary-skill>

## Title

<single-line imperative title, which can be a commit message; if a common prefix like chore: and feat: etc., having them is preferred>

## Description

<include what you changed plus a draft pull request title and description for your local changes; start the description with prose such as "This pull request resolves/updates/adds ..." using a verb that matches the change (you can use bullets later), explain the change background (for bugs, clearly describe the bug, symptoms, or repro; for features, what is needed and why), any behavior changes or considerations to be aware of, and you do not need to mention tests you ran.>

Keep it tight—no redundant prose around the block, and avoid repeating details between Changes and the description. Tests do not need to be listed unless specifically requested.

Plus de skills de openai

user-context
openai
Charger ou gérer les préférences de routage source durables du plugin Data Analytics, la logique d’intégration, la progression de la configuration et le registre de la couche sémantique.
official
notion-research-documentation
openai
Rechercher du contenu Notion et le synthétiser en notes structurées, rapports ou comparaisons avec citations. Interroger et récupérer des pages Notion à l'aide de requêtes ciblées, puis organiser les résultats par thème avec des citations de sources en ligne et une section de références. Choisir parmi quatre formats de sortie (note rapide, résumé de recherche, comparaison, rapport complet) en fonction de la portée et de l'objectif de l'utilisateur. Créer et mettre à jour des pages Notion à l'aide de modèles intégrés ; lier les sources directement et suivre les modifications à mesure que de nouvelles informations arrivent...
official
rcsb-pdb-skill
openai
Soumettre des requêtes RCSB PDB compactes pour les métadonnées principales, les requêtes Search API et les téléchargements FASTA. Utiliser lorsque l'utilisateur souhaite des résumés RCSB concis ; enregistrer le JSON brut ou…
official
pdf
openai
Lecture, création et validation de PDF avec rendu visuel et génération programmatique. Rendu des pages PDF en PNG pour inspection visuelle de la mise en page, de l'espacement et de la typographie avant livraison à l'aide de Poppler (pdftoppm). Génération programmatique de PDF avec reportlab pour un formatage fiable ; extraction de texte et de métadonnées avec pdfplumber ou pypdf. Application de normes de qualité : pas de texte rogné, d'éléments superposés, de tableaux cassés ou d'artefacts de rendu ; traits d'union ASCII uniquement, citations lisibles par l'humain. Utilisation...
official
test-coverage-improver
openai
Improve test coverage in the OpenAI Agents JS monorepo: run `pnpm test:coverage`, inspect coverage artifacts, identify low-coverage files and branches, propose…
official
playwright
openai
Automatisation de navigateur pilotée par terminal avec captures d'éléments et workflows d'interface utilisateur interactifs. Fonctionne via un script wrapper playwright-cli (nécessite npx) ; prend en charge les modes headless et headed pour le débogage visuel. Workflow principal : ouvrir une page, capturer pour des références d'éléments stables, interagir à l'aide des références, recapturer après navigation ou modifications du DOM. Inclut le remplissage de formulaires, le clic, la saisie, la gestion multi-onglets, la capture d'écran/PDF et l'enregistrement de traces pour le débogage de flux. Références d'éléments (par exemple, e3, e15)...
official
ukb-topmed-phewas-skill
openai
Récupérez des résumés compacts UKB-TOPMed PheWAS pour des variants uniques en acceptant une entrée rsID, GRCh37 ou GRCh38 et en résolvant la requête GRCh38 nécessaire. Utilisez lorsque…
official
code-review-context
openai
Contexte visible du modèle
official