review-pr — big-data review-pr, ArcticDB, community, big-data, ide skills, data-analysis, data-science, database, dataframe, pandas

v1.0.0

About this Skill

Perfect for Code Review Agents needing advanced pull request analysis and GitHub Actions integration. ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.

# Core Topics

man-group man-group
[2.2k]
[167]
Updated: 3/13/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reviewed Landing Page Review Score: 9/11

Killer-Skills keeps this page indexable because it adds recommendation, limitations, and review signals beyond the upstream repository text.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution Quality floor passed for review Locale and body language aligned
Review Score
9/11
Quality Score
55
Canonical Locale
en
Detected Body Locale
en

Perfect for Code Review Agents needing advanced pull request analysis and GitHub Actions integration. ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.

Core Value

Empowers agents to perform thorough code reviews of ArcticDB pull requests, ensuring high-quality code and boosting developer productivity through GitHub API and git diff analysis.

Ideal Agent Persona

Perfect for Code Review Agents needing advanced pull request analysis and GitHub Actions integration.

Capabilities Granted for review-pr

Automating code reviews for ArcticDB pull requests
Generating delta diffs for incremental updates
Posting inline comments and summary checklists on GitHub

! Prerequisites & Limits

  • Requires GitHub API access
  • Limited to ArcticDB repository
  • Dependent on gh command-line tool

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ & Installation Steps

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

? Frequently Asked Questions

What is review-pr?

Perfect for Code Review Agents needing advanced pull request analysis and GitHub Actions integration. ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.

How do I install review-pr?

Run the command: npx killer-skills add man-group/ArcticDB/review-pr. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for review-pr?

Key use cases include: Automating code reviews for ArcticDB pull requests, Generating delta diffs for incremental updates, Posting inline comments and summary checklists on GitHub.

Which IDEs are compatible with review-pr?

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 review-pr?

Requires GitHub API access. Limited to ArcticDB repository. Dependent on gh command-line tool.

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 man-group/ArcticDB/review-pr. 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 review-pr immediately in the current project.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

review-pr

Install review-pr, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before rollout.

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

Perform a thorough code review of an ArcticDB pull request.

Context variables

When invoked from a GitHub Actions workflow the following variables are injected before this prompt: PR_NUMBER, REPO, EVENT_ACTION, BEFORE_SHA, AFTER_SHA. When invoked locally as a slash command the PR number is $ARGUMENTS (e.g. /review-pr 2933). If $ARGUMENTS is empty, detect from the current branch.


Step 1 — Resolve PR number and repository

bash
1# If PR_NUMBER is not set and $ARGUMENTS is empty, detect from current branch: 2gh pr view --json number -q .number 3 4# If REPO is not set, detect: 5gh repo view --json nameWithOwner -q .nameWithOwner

Step 2 — Fetch diffs

If EVENT_ACTION is synchronize and both BEFORE_SHA and AFTER_SHA are set:

Attempt to produce the delta diff (new commits only):

bash
1git fetch --depth=1 origin <BEFORE_SHA> 2git diff <BEFORE_SHA>..<AFTER_SHA>
  • If the delta diff is non-empty, use it as the delta diff. Do not fetch the full diff — it is not needed (the existing sticky summary covers the earlier commits).
  • If the fetch fails (e.g. force-push removed BEFORE_SHA) or the result is empty, fall back: fetch the full diff and use it for both inline comments and summary.
bash
1gh pr diff <PR_NUMBER> # fallback only

Otherwise (event is opened, reopened, ready_for_review, or this is a local run):

Fetch the full diff and use it as both the full diff and the delta diff:

bash
1gh pr diff <PR_NUMBER>

Step 3 — Fetch existing inline review comments and sticky summary

Fetch all existing inline review comments (for deduplication):

bash
1gh api --paginate "repos/<REPO>/pulls/<PR_NUMBER>/comments" \ 2 --jq '[.[] | {path: .path, line: (.line // .original_line), author: .user.login, body: (.body | .[0:300])}]'

Also fetch the existing sticky summary comment, if any (for incremental updates):

bash
1gh api "repos/<REPO>/issues/<PR_NUMBER>/comments" \ 2 --jq '[.[] | select(.body | startswith("## ArcticDB Code Review Summary"))] | last | {id: .id, body: .body}'

Step 4 — Deduplication rule

Before posting any inline comment, check the existing comments for an entry with the same path and line:

  • Human comment exists: skip the inline comment. Note the finding in the summary checklist if relevant.
  • Previous Claude comment exists: skip the inline comment. Ensure the finding is still reflected in the summary checklist.
  • No existing comment: post the inline comment normally.

Step 5 — Review outputs

Inline comments

Post only on lines present in the delta diff, subject to the deduplication rule above.

Summary checklist

Only ever mention points that need attention in the summary checklist, not notes that things are fine.

If EVENT_ACTION is synchronize and a previous sticky summary exists:

  • Evaluate only the delta diff against the guidelines.
  • Read the previous summary checklist.
  • Update individual checklist items that are affected by the delta:
    • A new commit that introduces an issue: change the item to ❌ and add a note.
    • A new commit that fixes a previously flagged issue: change the item to ✅ and note the fix.
    • Items unaffected by the delta: leave unchanged.
  • Post the amended summary as the updated sticky comment.

Otherwise (event is opened, reopened, ready_for_review, or no previous summary):

Evaluate the full diff and post a fresh summary checklist.


Step 6 — Load review guidelines

Read the file docs/claude/PR_REVIEW_GUIDELINES.md from the repository root using the Read tool. Apply all sections relevant to the files changed in the PR. The file also contains the summary checklist format to use when posting the sticky comment.

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