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land-batch

Triage, review, and merge several open PRs in order, with CI and deploy checks. Triggers: "land all PRs", "merge open PRs".

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indigoai-us/hq-core90 stars(GitHub 90 + cccskills 0)
Works withGitHubAWS

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  • SKILL.md6.0 KB
  • agents/openai.yaml117 B

SKILL.md (original)

Review the instructions the agent will receive before you install.

Land Batch

Triage open PRs -> prioritize -> review each -> merge sequentially -> verify deploys.

This skill takes a set of open PRs from "open" to "merged and verified." It handles the full batch landing sequence: triage/prioritization, per-PR review, conflict resolution between sequentially-merged PRs, and post-merge deploy tracking.

Input

Accepts one of:

  • No argument — all open PRs on the current repo
  • PR numbers (e.g. 3040 3051 2965) — specific PRs to land
  • Label/filter (e.g. --label ready-to-merge) — filtered set

Step 0: Discover + Triage

0a: List open PRs

gh pr list --state open --json number,title,headRefName,createdAt,labels,statusCheckRollup,additions,deletions,files

0b: Classify each PR

For each PR, determine:

  • Scope: files changed, apps affected (function-v2, web-front, web-client, etc.)
  • Risk: LOW (config/docs/deletion), MEDIUM (feature, new routes), HIGH (infra, DB, auth)
  • CI status: all green, partial fail, not run
  • Merge readiness: clean, has conflicts, needs rebase
  • Dependencies: does PR X need to land before PR Y?

0c: Build merge order

Prioritize by:

  1. Blockers first — PRs that other PRs depend on
  2. Low risk first — config, docs, cleanup PRs land fast
  3. Infrastructure before features — DB/infra PRs before feature PRs that use them
  4. Smallest first within same tier — reduces conflict surface

Present triage table to user:

PR Triage
─────────
| # | Title | Risk | CI | Apps | Order |
|---|-------|------|----|------|-------|
| ... | ... | ... | ... | ... | ... |

Proposed merge order: #X -> #Y -> #Z
Proceed? (y/n/reorder)

Wait for user confirmation before proceeding.

Step 1: Per-PR Landing Loop

For each PR in merge order:

1a: Pre-merge checks

# Fresh CI status
gh pr view {number} --json statusCheckRollup,mergeable,reviewDecision

# Check for conflicts with main (PRs merged earlier may cause new conflicts)
gh pr view {number} --json mergeable

If mergeable: CONFLICTING:

  • Checkout the branch
  • Merge main in (prefer merge over rebase for branches far behind)
  • Resolve conflicts (take main for already-landed changes, keep branch for new work)
  • Push conflict resolution
  • Wait for CI to re-run

1b: Code review

Launch a review sub-agent (or inline review for small PRs <100 lines):

Review checklist:

  • Auth/security: new API routes have auth, no IDOR, no injection
  • Infra: SST/DynamoDB/Lambda changes noted for deploy
  • Code quality: no dangling imports, proper error handling
  • Tenant isolation: multi-tenant queries scoped properly
  • Data validation: input size limits, cursor validation
  • Dependencies: new packages audited

Review verdicts:

  • PASS — merge immediately
  • PASS WITH NOTES — merge, track notes for follow-up
  • FAIL — fix issues on branch before merge, then re-review

1c: Merge

gh pr merge {number} --squash --delete-branch

If branch protection blocks: use --admin if available. If E2E flake (pre-existing, unrelated): merge with --admin after confirming flake is known.

1d: Post-merge sync

# Update local main
git checkout main && git pull

# Check if next PR in queue now has conflicts
gh pr view {next_number} --json mergeable

1e: Track what needs deploy

After each merge, note:

  • Lambda/serverless changes -> needs gh workflow run cd.yml
  • SST infra changes -> needs manual SST deploy
  • DB migrations -> needs prisma migrate verification
  • Frontend changes -> auto-deploys via Vercel/CD

Step 2: Deploy Verification

After all PRs merged:

2a: Trigger deploys

# If Lambda changes were merged:
gh workflow run cd.yml -f env=development -f apps={affected-apps}

# Monitor deploy:
gh run list --workflow cd.yml -L 1 --json status,conclusion,databaseId

2b: SST deploy (if needed)

SST infra changes require manual deploy:

sst deploy --stage development

If SST lock exists: sst unlock --stage=development first (requires admin AWS creds).

2c: Post-deploy checks

  • Verify CD pipeline completes
  • Check for DB migration status if applicable
  • Run post-deploy seed scripts if any PR requires them

Step 3: Report

Batch Landing Complete
──────────────────────
Merged: {N} PRs
  - #{number}: {title} ({risk})
  ...

Deploy status:
  - Lambda: {deployed/pending/not-needed}
  - SST infra: {deployed/pending/not-needed}
  - Frontend: {auto-deployed/pending}
  - DB migrations: {applied/pending/none}

Follow-ups:
  - {any PASS WITH NOTES items}
  - {any post-deploy scripts needed}
  - {any remaining open PRs not in this batch}

Error Handling

  • Merge conflict cascade: If PR N's merge causes conflicts in PR N+1, resolve before continuing. Don't skip PRs
  • CI failure after conflict resolution: Re-run full CI. Don't merge with failing checks (except known E2E flakes)
  • Review FAIL: Fix on branch, push, wait for CI, then continue the loop
  • Deploy failure: Report immediately. Don't continue to production deploy if dev fails
  • GitGuardian false positive: Note and proceed if the flagged secret is pre-existing (not introduced by the PR)

Rules

  • Always get user confirmation on triage order before starting merges
  • Never force-push during landing
  • Merge PRs one at a time, pulling main between each
  • Track all infra changes for deploy — don't let SST/Lambda changes slip through un-deployed
  • If a PR adds new DynamoDB tables or SST resources, flag for SST deploy
  • Known E2E flakes (api-v2:e2e:development connection reset) are not merge blockers
  • Use --admin for branch protection bypass only when user has admin rights
  • Post-deploy seed scripts must be called out explicitly in the report

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