PR Babysitter
openinterpreter/openinterpreter
Watches an open GitHub pull request until it merges, handling review comments, diagnosing CI failures and retrying flaky checks along the way.
Posts a concise visual outline as a GitHub pull request comment.
$ npx skills add jellydn/my-ai-tools --skill visual-pr -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jellydn/my-ai-tools visual-pr --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/jellydn/my-ai-tools.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/visual-pr .claude/skills/visual-pr && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "visual-pr" agent skill from https://github.com/jellydn/my-ai-tools/tree/main/skills/visual-pr into .claude/skills/visual-pr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "visual-pr", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/jellydn/my-ai-tools/tree/main/skills/visual-prType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add jellydn/my-ai-tools --skill visual-pr -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jellydn/my-ai-tools visual-pr --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jellydn/my-ai-tools.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/visual-pr .agents/skills/visual-pr && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "visual-pr" agent skill from https://github.com/jellydn/my-ai-tools/tree/main/skills/visual-pr into .agents/skills/visual-pr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "visual-pr", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jellydn/my-ai-tools --skill visual-pr -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jellydn/my-ai-tools visual-pr --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jellydn/my-ai-tools.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/visual-pr .cursor/skills/visual-pr && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "visual-pr" agent skill from https://github.com/jellydn/my-ai-tools/tree/main/skills/visual-pr into .cursor/skills/visual-pr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "visual-pr", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/jellydn/my-ai-tools.git --path skills/visual-pr--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add jellydn/my-ai-tools --skill visual-pr -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jellydn/my-ai-tools visual-pr --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jellydn/my-ai-tools.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/visual-pr .gemini/skills/visual-pr && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "visual-pr" agent skill from https://github.com/jellydn/my-ai-tools/tree/main/skills/visual-pr into .gemini/skills/visual-pr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "visual-pr", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install jellydn/my-ai-tools visual-prInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add jellydn/my-ai-tools --skill visual-pr -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jellydn/my-ai-tools.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/visual-pr .github/skills/visual-pr && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "visual-pr" agent skill from https://github.com/jellydn/my-ai-tools/tree/main/skills/visual-pr into .github/skills/visual-pr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "visual-pr", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jellydn/my-ai-tools --skill visual-pr -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jellydn/my-ai-tools visual-pr --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jellydn/my-ai-tools.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/visual-pr .opencode/skills/visual-pr && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "visual-pr" agent skill from https://github.com/jellydn/my-ai-tools/tree/main/skills/visual-pr into .opencode/skills/visual-pr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "visual-pr", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
visual-prPosts a concise visual outline as a GitHub pull request comment.
Visual PR is an agent skill from jellydn/my-ai-tools. Posts a concise visual outline as a GitHub pull request comment. Use only when the user explicitly asks for visual-pr.
Its SKILL.md is about 760 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts and reference files (for example `references/comment-template.md` and `scripts/publish-comment.sh`). Compatibility notes: Requires git, jq, and the GitHub CLI (gh)
It sits in Development. It works with GitHub. The repository describes itself as: Comprehensive configuration management for AI coding tools - Replicate my complete setup for Claude Code, OpenCode, Amp, Li, Codex and Claude Code Switch with custom… The licence is MIT.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 163951e. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 1 file in scripts/ (Shell), which the agent can run.
Shell commands in SKILL.md call:
ghFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use gh, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Requires git, jq, and the GitHub CLI (gh)
From compatibility in the SKILL.md frontmatter.
Visual PR loads about 764 tokens when it runs, and up to ~1.1k if it reads all its reference files. Until then it costs about 32 tokens; SKILL.md has 377 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from jellydn/my-ai-tools at commit 163951e, republished under its MIT licence (© jellydn). 377 words, ~764 tokens.
.claude/skills/visual-pr/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Post a compact visual explanation of a pull request as a comment. Do not replace or append to the pull request description.
gh pr view --json url,number,title,state,baseRefName,headRefName 2>/dev/nullgh pr view to collect metadata and changed files.Read $SKILL_PATH/references/comment-template.md, then write the completed comment to a temporary file:
COMMENT_FILE=$(mktemp "${TMPDIR:-/tmp}/visual-pr-comment.XXXXXX")Keep the outline concise:
- None. when there are none.diff blocks for changes to an existing shape. Show the complete target shape when most of it is new.COMMENT_URL=$("$SKILL_PATH/scripts/publish-comment.sh" <number> "$COMMENT_FILE")
test -n "$COMMENT_URL"
printf '%s\n' "$COMMENT_URL"
rm -f "$COMMENT_FILE"The script adds a hidden visual-pr marker. It updates the current GitHub user's existing marked comment, or runs
gh pr comment when none exists. Thus, one pull request has at most one visual-pr comment from that user. Never use
gh pr edit for the visual outline because that replaces the pull request description.
Reply with the pull request URL, the comment URL returned by GitHub, a two-sentence summary, and the verification that the comment command succeeded.
Write as one person to another. Use simple, concise language and avoid jargon.
© jellydn, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 2 other files (scripts, references) in skills/visual-pr of jellydn/my-ai-tools.
Open the folder on GitHubat commit 163951e
Visual PR next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Visual PR this skilljellydn/my-ai-tools | 123 | — | ~764 | Automated safety check: Pass | MIT | |
| PR Babysitteropeninterpreter/openinterpreter | 69k | 3 repos | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Greplooponyx-dot-app/onyx | 32k | 4 repos | ~3.3k | Automated safety check: Pass | MIT | |
| Check PRonyx-dot-app/onyx | 32k | 2 repos | ~2.3k | Automated safety check: Pass | MIT | |
| Setup Matt Pocock Skillsbestofjs/bestofjs | 3.1k | 20 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Contributor-First PR MergeHKUDS/OpenHarness | 16k | 1 repos | ~847 | Automated safety check: Pass | MIT |
openinterpreter/openinterpreter
Watches an open GitHub pull request until it merges, handling review comments, diagnosing CI failures and retrying flaky checks along the way.
onyx-dot-app/onyx
Iteratively improves a PR (GitHub), MR (GitLab), or shelved changelist (Perforce) until Greptile gives it a 5/5 confidence score with zero unresolved comments.
onyx-dot-app/onyx
Checks a GitHub, GitLab, or Perforce (p4) pull request (or merge request, or shelved changelist) for unresolved review comments, failing status checks, and incomplete PR descriptions.
bestofjs/bestofjs
Configure this repo for the engineering skills — set up its issue tracker, triage label vocabulary, and domain doc layout.
HKUDS/OpenHarness
Merges external GitHub pull requests while keeping the original author credited, and fixes conflicts after the merge instead of rewriting the contribution.
cline/cline
Opens a GitHub pull request from your current branch with the gh CLI, after reviewing the commits and diff and gathering the details the PR needs.
jellydn/my-ai-tools
A skill your agent uses when monitoring an open GitHub PR for CI failures, review feedback, mergeability, and safe retries or fixes.
jellydn/my-ai-tools
Manage project knowledge with qmd — captures learnings, decisions, and conventions
jellydn/my-ai-tools
Generate Product Requirements Documents from feature ideas — plans specs and requirements
jellydn/my-ai-tools
Build an interactive report or experiment when the user asks to explore model capabilities.
jellydn/my-ai-tools
Fix PR review comments by implementing requested changes. An agent skill from jellydn/my-ai-tools.
jellydn/my-ai-tools
Convert PRDs to prd.json format for the Ralph autonomous agent system
Works with
Categories
Posts a concise visual outline as a GitHub pull request comment. Visual PR is an agent skill from jellydn/my-ai-tools. Posts a concise visual outline as a GitHub pull request comment.
Visual PR fits situations like: explicitly asks for visual-pr.
Run `npx skills add jellydn/my-ai-tools --skill visual-pr -a claude-code`. Or copy the skill folder (skills/visual-pr in jellydn/my-ai-tools) into .claude/skills/visual-pr in your project. Claude Code loads it when a task matches its description.
Run `npx skills add jellydn/my-ai-tools --skill visual-pr -a codex`. Or copy the skill folder (skills/visual-pr in jellydn/my-ai-tools) into .agents/skills/visual-pr in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jellydn/my-ai-tools --skill visual-pr -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/visual-pr, .gemini/skills/visual-pr, .github/skills/visual-pr and .opencode/skills/visual-pr in your project.
Going by SKILL.md and its folder, Visual PR needs a shell for the scripts in its folder and the command-line tools its instructions call (gh). Our summary lists: A Bash shell. Compatibility (from SKILL.md): Requires git, jq, and the GitHub CLI (gh).
SKILL.md contains no URLs. Its commands use gh, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Visual PR is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 764 tokens (SKILL.md is roughly 3.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 287 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Visual PR: PR Babysitter (openinterpreter/openinterpreter, 69k stars), Greploop (onyx-dot-app/onyx, 32k stars), Check PR (onyx-dot-app/onyx, 32k stars) and Setup Matt Pocock Skills (bestofjs/bestofjs, 3.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
jellydn (a GitHub user) maintains it in jellydn/my-ai-tools, which has 123 GitHub stars. The repository holds 35 skills in this directory. The repository was last updated on October 7, 2026.
Source: jellydn/my-ai-tools on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.