antfu-create-pr
Create a reviewable GitHub pull request from the current branch with a Conventional Commits title, a concise evidence-based body, and before/after screenshots for UI changes
Install / Use
npx skills add antfu/skills --skill antfu-create-prInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Development & EngineeringSupported Platforms
Our assessment of antfu-create-pr
antfu-create-pr scores 85/100 on our quality scale, 2649th of 4,588 Development & Engineering skills we index.
Its SKILL.md is 5.5 KB long, well organised into 8 sections with 2 code examples: a solid amount of guidance for an agent.
With 5,920 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated about 4 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 98/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
antfu-create-pr compared with similar skills
All 4 of these similar skills score higher than antfu-create-pr; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| antfu-create-pr (this skill)by antfu | 85 | 5.9k | 4mo ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 94.6k | 1d ago | CLAUDE.md |
| ai-job-searchby MadsLorentzen | 100 | 45.4k | today | CLAUDE.md |
| claude-howtoby luongnv89 | 100 | 41.8k | 9d ago | CLAUDE.md |
| algorithmic-artby anthropics | 100 | 177.9k | 16d ago | SKILL.md |
Frequently asked questions
- How do I install antfu-create-pr?
- Run
npx skills add antfu/skills --skill antfu-create-pr. The install tabs above show the steps for each supported agent. - Which AI agents does antfu-create-pr work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is antfu-create-pr safe to use?
- It is MIT-licensed and scores 98/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is antfu-create-pr still maintained?
- The repository was last updated about 4 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
Skill content
View source on GitHubname: antfu-create-pr description: Create a reviewable GitHub pull request from the current branch with a Conventional Commits title, a concise evidence-based body, and before/after screenshots for UI changes. Use when asked to open, create, publish, or prepare a PR. metadata: author: Anthony Fu version: "2026.10.09"
Create Pull Request
Open a PR that a reviewer can understand from the body alone. Explain the changed behavior and why, not the list of changed files. Keep the body proportional to the change: a one-line fix gets a few sentences, a cross-module feature gets tables and diagrams.
Workflow
- Inspect the repo:
git status, current branch, remotes, default branch,.github/PULL_REQUEST_TEMPLATE*, andAGENTS.md/CONTRIBUTING.mdfor PR rules. - Compute the merge base against the target branch and record the exact
base...headrange the PR publishes. If the branch is stacked on another unmerged branch, target that branch and describe only this PR's own changes. - Read the full diff. Separate runtime code from generated files, lockfiles, and snapshots. Trace changed code to its entry points, callers, and external boundaries so architecture claims are backed by file paths or symbols.
- Classify the PR (feature, fix, refactor, chore, docs) and decide which optional body sections earn their place. See pr-body.
- Run the checks that match the changed surfaces (focused tests, typecheck, lint). Record the exact commands and results.
- If the diff changes user-visible UI, capture before/after evidence. See visual-evidence.
- Review the commit history and reshape it into atomic Conventional Commits. See Commits.
- Write the body to a temporary file. Push the branch. Create the PR with
gh pr create --title ... --body-file ...(add--attachfor each screenshot). Use--draftwhen checks are still running or the work is not review-ready. - Open the created PR and verify title, base, head, rendered tables, diagrams, and images.
- Address review comments: fix each confirmed issue, run focused checks, push, reply with evidence, and resolve the thread.
Title
Use Conventional Commits, matching how the repo already writes commit messages:
feat(scope): add retry to upload client
fix(scope): avoid double submit on enter
refactor: extract diff parsing from cli
chore(deps): update vite to v8
docs: clarify worktree setup
- Lowercase, imperative, no trailing period, under ~70 characters.
- Scope is the package, module, or feature name the repo already uses. Omit it when the change is repo-wide.
- Squash-merge repos turn the title into the commit message; write it as the commit you want in history.
Commits
Each commit does one logical thing and uses a Conventional Commits message. A reviewer should be able to read git log --oneline as the story of the change and review commit by commit.
# Good: each commit is self-contained
feat(api): add task creation endpoint with validation
feat(ui): add task creation form component
feat(ui): connect form to api and add loading state
test(tasks): cover task creation (unit + integration)
# Bad: everything mixed together
feat: add task feature, fix sidebar, update deps, refactor utils
- Keep unrelated fixes, dependency bumps, and drive-by refactors out of the branch; open separate PRs for them.
- Before pushing, review the history and split or squash local commits (
git rebase -i <base>) until each one stands alone and builds. - Do not rewrite commits that are already pushed and under review; add new commits instead.
Body
Required in every PR:
## Summary: the problem or capability first, then what changed and why this approach. Mention if the PR is stacked and on what.- Linked issues:
closes #123/fixes #123/refs #123so GitHub links and auto-closes. ## Verification: exact commands run and their results, plus anything left unverified.
Optional, only when it helps the reviewer:
## Change map: table of module, before, after, reason. Use for changes across several modules or ownership boundaries. Never a raw file list.## Architecture and behavior: a Mermaid flow, sequence, or state diagram when ordering, async work, or state transitions changed. For a fix, pair aBeforeandAfterdiagram at the same abstraction level.## Boundaries and risks: table of invariant, failure mode, protection, evidence. Use when there are real failure modes, migrations, or external effects.## Visual changes: before/after image table for UI changes.## Rollout and follow-up: migrations, feature flags, known gaps. State whether a gap blocks merge.
If the repo has a PR template, keep its headings and fill them; add sections above only where the template leaves room.
Rules
- Say what is verified, what is assumed, and what is not verified. Do not write "safe", "fixed", or "backward compatible" without pointing at the evidence.
- Green CI proves only the checks CI runs. Focused tests prove only the behavior they cover.
- Do not describe inherited changes from a parent branch as this PR's changes.
- Use plain hyphens; never em dashes (U+2014) or en dashes (U+2013).
- No filler ("This PR aims to...", "comprehensive", "robust"). Start sentences with the fact.
- Do not paste tokens, secrets, user records, or full payloads into the body.
- Do not commit screenshots or other PR-only artifacts to the repo; attach them with
gh --attach. - If the PR was written with the help of an agent, say so in one line at the end of the body.
Related Skills
Agent-Reach
94.6kGive your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
ai-job-search
45.4kThe job search that runs on your machine. AI job application framework built on Claude Code: evaluate postings, tailor CVs, write cover letters, prep interviews. Fork it and own it.
claude-howto
41.8kA visual, example-driven guide to Claude Code — from basic concepts to advanced agents, with copy-paste templates that bring immediate value.
algorithmic-art
177.9kCreating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems.
Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
