pr-draft-summary — community pr-draft-summary, openai-agents-python, openai, community, ai agent skill, ide skills, agent automation, AI agent skills, Claude Code, Cursor, Windsurf

v1.0.0
GitHub

About this Skill

Perfect for Code Review Agents needing automated PR summary generation for openai-agents-python repository Create a PR title and draft description after substantive code changes are finished. Trigger when wrapping up a moderate-or-larger change (runtime code, tests, build config, docs with behavior impact)

openai openai
[0]
[0]
Updated: 3/12/2026

Quality Score

Top 5%
60
Excellent
Based on code quality & docs
Installation
SYS Universal Install (Auto-Detect)
> npx killer-skills add openai/openai-agents-python/pr-draft-summary
Supports 19+ Platforms
Cursor
Windsurf
VS Code
Trae
Claude
OpenClaw
+12 more

Agent Capability Analysis

The pr-draft-summary skill by openai is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance.

Ideal Agent Persona

Perfect for Code Review Agents needing automated PR summary generation for openai-agents-python repository

Core Value

Empowers agents to generate concise PR summaries, PR-ready titles, and draft descriptions in the required format, streamlining the pull request process for openai-agents-python with substantive code work, tests, examples, docs, or build/test configuration changes

Capabilities Granted for pr-draft-summary

Automating PR summary generation
Generating PR-ready titles and descriptions
Simplifying the review process for openai-agents-python repository

! Prerequisites & Limits

  • Specific to openai-agents-python repository
  • Requires substantive code work or changes to runtime code, tests, examples, docs, or build/test configuration
Project
SKILL.md
4.9 KB
.cursorrules
1.2 KB
package.json
240 B
Ready
UTF-8

# Tags

[No tags]
SKILL.md
Readonly

PR Draft Summary

Purpose

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

When to Trigger

  • The task for this repo is finished (or ready for review) and it touched runtime code, tests, examples, docs with behavior impact, or build/test configuration.
  • You are about to send the "work complete" response and need the PR block included.
  • Skip only for trivial or conversation-only tasks where no PR-style summary is expected.

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, reference https://github.com/openai/openai-agents-python/issues/<number> and include an auto-closing line such as This pull request resolves #<number>..
  8. Draft the PR title and description using the template below.
  9. Output only the block in "Output Format". Keep any surrounding status note minimal and in English.

Output Format

When closing out a task and the summary block is desired, add this concise Markdown block (English only) after any brief status note. If the user says they do not want it, skip this section.

# 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.

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is pr-draft-summary?

Perfect for Code Review Agents needing automated PR summary generation for openai-agents-python repository Create a PR title and draft description after substantive code changes are finished. Trigger when wrapping up a moderate-or-larger change (runtime code, tests, build config, docs with behavior impact)

How do I install pr-draft-summary?

Run the command: npx killer-skills add openai/openai-agents-python/pr-draft-summary. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for pr-draft-summary?

Key use cases include: Automating PR summary generation, Generating PR-ready titles and descriptions, Simplifying the review process for openai-agents-python repository.

Which IDEs are compatible with pr-draft-summary?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for pr-draft-summary?

Specific to openai-agents-python repository. Requires substantive code work or changes to runtime code, tests, examples, docs, or build/test configuration.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add openai/openai-agents-python/pr-draft-summary. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use pr-draft-summary immediately in the current project.

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