Gh Review Requests

GitHub Review Requests

Fetch unread review_requested notifications for open (unmerged) PRs, filtered by a GitHub team.

Requires: GitHub CLI (gh) authenticated.

Step 1: Identify the Team

If the user has not specified a team, ask:

Which GitHub team should I filter by? (e.g. streaming-platform)

Accept either a team slug (streaming-platform) or a display name ("Streaming Platform") — convert to lowercase-hyphenated slug before passing to the script.

Step 2: Run the Script

uv run ${CLAUDE_SKILL_ROOT}/scripts/fetch_review_requests.py --org getsentry --teams <team-slug>

To filter by multiple teams, pass a comma-separated list:

uv run ${CLAUDE_SKILL_ROOT}/scripts/fetch_review_requests.py --org getsentry --teams <team slugs>

Script output

{
  "total": 3,
  "prs": [
    {
      "notification_id": "12345",
      "title": "feat(kafka): add workflow to restart a broker",
      "url": "https://github.com/getsentry/ops/pull/19144",
      "repo": "getsentry/ops",
      "pr_number": 19144,
      "author": "bmckerry",
      "reasons": ["opened by: bmckerry"]
    }
  ]
}

reasons will contain one or both of:

• "review requested from: <Team Name>" — the team is a requested reviewer
• "opened by: <login>" — the PR author is a team member

Step 3: Present Results

Display results as a markdown table with full URLs:

If total is 0, say: "No unread review requests found for that team."

Fallback

If the script fails, run manually:

gh api notifications --paginate

Then for each review_requested notification, check:

• gh api repos/{repo}/pulls/{number} — skip if state == "closed" or merged_at is set
• gh api repos/{repo}/pulls/{number}/requested_reviewers — check teams[].name
• gh api orgs/{org}/teams/{slug}/members — check if author is a member

AGI Framework Integration

Adapted for @techwavedev/agi-agent-kit Original source: antigravity-awesome-skills

Memory-First Protocol

Retrieve prior decisions and patterns to avoid re-discovering solutions. Cache results for instant retrieval in future sessions.

# Check for prior development context before starting
python3 execution/memory_manager.py auto --query "prior work and patterns related to Gh Review Requests"

Storing Results

After completing work, store development decisions for future sessions:

python3 execution/memory_manager.py store \
  --content "Completed task with key insights documented for future reference" \
  --type decision --project <project> \
  --tags gh-review-requests default

Multi-Agent Collaboration

Share outcomes with other agents so the team stays aligned and avoids duplicate work.

python3 execution/cross_agent_context.py store \
  --agent "<your-agent>" \
  --action "Task completed — results documented and shared with team" \
  --project <project>