Open a GitHub PR via API as a flowing graph — branch + push + create_pr + mergeable poll, with structural protection against pushing to main/master/etc. Use when a Claude Code or Claude.ai container needs to land changes on GitHub via the API (no git CLI required) and the prose "create branch, push, open PR, wait for mergeable" workflow keeps drifting under context pressure.
npx skills add https://github.com/oaustegard/claude-skills --skill opening-prs
A flowing graph that turns the imperative "create branch, push files,
open a PR, poll mergeable_state" workflow into a structural DAG. The
"NEVER push directly to main" rule is encoded as a validate= gate that
physically can't be skipped.
from opening_prs import open_pr
result = open_pr(
repo="owner/repo",
branch_name="feat/cool-thing",
title="Add cool thing",
body="## Summary\n\n...",
files=[
("src/cool.py", "<file content>"),
("docs/cool.md", "<file content>"),
],
base="main", # default; protected names are also rejected
)
print(result["pr_url"]) # https://github.com/.../pull/N
print(result["mergeable_state"]) # clean | dirty | unstable | behind | blocked
The gh pr create workflow (or hand-rolled API calls) has five steps in
prose form:
mergeable_state until GitHub finishes computing itEach step has known failure modes:
main — the diagnosed pattern thatmotivated github-procedures §6 in the first place.
mergeable_state: null immediately aftercreation. Need to poll. "Wait a few seconds and check" is prose, not a
procedure — so it gets skipped under context pressure.
This skill encodes both as flowing primitives:
determine_branch ──▶ guard ──▶ get_base_head ──▶ create_branch
│ │
│ ▼
│ push_files
│ │
│ ▼
│ create_pr
│ / \
│ ▼ ▼
│ wait_mergeable present_pr [terminal]
│
└─ validate=must_not_be_base_branch
validate=must_not_be_base_branch rejects `branch_name in{"main", "master", "trunk", "production", "prod"}` — case-insensitive
— and the configured base itself. The body of create_branch never
fires for a protected name. No GitHub API call happens for an
invalid branch name.
retry_until=lambda r: r["mergeable_state"] in SETTLED_STATESconsumes the retry budget while GitHub computes the merge result.
unknown and null keep polling; settled states (clean, dirty,
unstable, behind, blocked) stop. Exhaustion is soft: the PR is
still presented with the last observed state.
Requires GH_TOKEN (or GITHUB_TOKEN) in the environment. Classic PAT
or fine-grained PAT with repo scope.
import os
os.environ["GH_TOKEN"] = "ghp_..." # or load from a .env file
The skill sends User-Agent: opening-prs on every API call. (GitHub
returns 401 "Bad credentials" without a UA, regardless of token
validity. Common trap.)
{
"pr_url": "https://github.com/owner/repo/pull/N",
"pr_number": 42,
"pr_state": "open",
"branch": "feat/cool-thing",
"base": "main",
"head_sha": "abc123...",
"mergeable_state": "clean",
"files_pushed": ["src/cool.py", "docs/cool.md"],
"detached_failures": [],
}
Raises RuntimeError only if the main DAG fails (validate, branch
creation, file push, or PR creation). Mergeable polling exhaustion is a
soft failure — the PR exists, the field just isn't computed yet.
open_pr(
...,
mergeable_poll_retries=8, # default 8
mergeable_poll_base_ms=2000, # default 2s
mergeable_poll_max_ms=8000, # default 8s (cap on exponential backoff)
)
with base64 encoding — slow above ~10 files). Use git push if you
have the CLI.
commit per file via the contents API.
manipulation. Out of scope; use a different tool.
flowing — the DAG runner this skill is built onclosing-issues — the symmetric "close + synthesize" flowaccessing-github-repos skill for byte-layer GitHub access patternsGuide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
React Native and Expo best practices for building performant mobile apps. Use when building React Native components, optimizing list performance, implementing animations, or working with native modules. Triggers on tasks involving React Native, Expo, mobile performance, or native platform APIs.
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
Next.js best practices - file conventions, RSC boundaries, data patterns, async APIs, metadata, error handling, route handlers, image/font optimization, bundling
Use when starting feature work that needs isolation from current workspace or before executing implementation plans - creates isolated git worktrees with smart directory selection and safety verification
Take oaustegard/opening-prs from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.