autoresolve-oldest-github-issue

name	autoresolve-oldest-github-issue
description	Use when autonomously resolving the oldest open GitHub issue end-to-end. Picks the oldest open issue (optionally filtered by label, default `Resolve_by_AI`), delegates resolution to `resolve-issue`, then runs `code-review-github`, `process-code-review`, and `merge-github-pr` on the resulting pull request. Stops and reports any blocker (merge conflict, failing CI, unresolved Critical/Moderate findings) instead of force-merging.
license	MIT
metadata	{"author":"Petr Král (pekral.cz)"}

Constraints

• Apply @rules/git/general.mdc
• Apply @rules/reports/general.mdc
• Operate on the current Git repository's GitHub remote only — refuse if the remote is not GitHub
• Process exactly one issue per invocation; never loop into a second issue
• Never bypass quality gates of the delegated skills (resolve-issue, code-review-github, process-code-review, merge-github-pr)
• Never force-merge: stop on merge conflict, failing CI, missing approvals, or unresolved Critical/Moderate CR findings
• Never alter the original issue body, labels, or assignees outside what the delegated skills already do
• Do not expose sensitive/internal details in user-facing messages

Use when

• The user wants the oldest open GitHub issue auto-resolved end-to-end (resolve → review → process feedback → merge)
• A scheduled or batch workflow needs a single deterministic entry point that chains the four skills

Inputs

• LABEL (optional) — GitHub label used to filter eligible issues. Default: Resolve_by_AI. Pass an empty string (LABEL="") to disable label filtering and pick the globally oldest open issue.

Execution

1. Preflight

• Confirm gh auth status reports an authenticated session; if not, stop and ask the user to authenticate.
• Resolve the current Git remote origin and verify it points to GitHub. Stop with a clear message otherwise.
• Switch to the main branch and pull the latest changes.

2. Select the oldest issue

• Resolve the current repository slug: REPO=$(gh repo view --json nameWithOwner -q .nameWithOwner).
• Query the single oldest open issue via gh search issues, which — unlike gh issue list — supports explicit ascending order and therefore returns the globally oldest match regardless of total open-issue count:

  QUERY="is:open is:issue repo:${REPO}${LABEL:+ label:\"$LABEL\"}"
  gh search issues "$QUERY" --sort created --order asc --limit 1 \
      --json number,url,title,createdAt,labels,assignees
  

  Do not substitute gh issue list --sort created --limit <N>: that command returns the newest N issues with no --order switch, so any client-side ascending sort picks the oldest of the newest, never the true oldest.
• If the result is empty, stop with the message No eligible open GitHub issues found (label=<LABEL>).
• Record the selected issue's number and url. This URL is the single argument passed to every downstream skill in the chain.

3. Resolve the issue

• Invoke @skills/resolve-issue/SKILL.md with the selected issue URL.
• That skill handles branching, implementation, tests, pre-push gates, the local code-review / security-review loop, PR creation, and reports per its own contract.
• When resolve-issue finishes, capture the resulting PR URL from its output. If no PR URL is produced, stop and report the failure — do not continue the chain.

4. Run code review on the PR

• Run inline. Invoke @skills/code-review-github/SKILL.md directly in this skill's context, passing the PR URL (not the issue URL) plus the instruction "run @skills/code-review-github/SKILL.md against this PR and return the published PR comment URL, the linked-issue comment URL(s), and the Critical / Moderate / Minor counts". Do not dispatch the CR as a subagent — run it sequentially in the current context.
• The CR skill's deterministic loader accepts a PR URL or number and posts findings as a fresh PR comment plus a non-technical mirror on the linked issue.

5. Process review feedback

• Run inline. Invoke @skills/process-code-review/SKILL.md directly in this skill's context, passing the PR URL plus the instruction "drive the review loop on this PR to convergence (Critical + Moderate == 0) and return the iteration count, residual finding counts, and the final status comment URL". Do not dispatch as a subagent — run it sequentially in the current context.
• This is the convergence loop: it resolves comments, applies Suggested Fix snippets, re-runs the review in quiet mode, and exits when criticalCount + moderateCount == 0 (or after its maxIterations safety net).
• If the run reports residual Critical or Moderate findings, stop. Report the residual findings and the PR URL; do not attempt the merge.

6. Merge the PR

• Invoke @skills/merge-github-pr/SKILL.md with the PR URL.
• The merge skill performs its own pre-checks (mergeable, mergeStateStatus, statusCheckRollup[], reviewDecision) and will skip the merge with a reason on any failure. Surface that reason verbatim in the final report.

7. Stop on blockers

At any step, stop the chain and produce the final report when:

• resolve-issue does not produce a PR
• code-review-github reports the PR has merge conflicts (review cancelled per its own contract)
• process-code-review cannot drive Critical + Moderate findings to zero within its iteration cap
• merge-github-pr reports mergeable != MERGEABLE, mergeStateStatus in DIRTY / BEHIND, any non-passing entry in statusCheckRollup[], or reviewDecision != APPROVED

Never retry or "fix" the blocker outside the contract of the delegated skill that surfaced it.

Output

A short report containing:

• Selected issue: #<number> + URL + createdAt
• PR created by resolve-issue: URL (or the failure reason if none)
• code-review-github outcome: counts of Critical / Moderate / Minor (or skipped — <reason>)
• process-code-review outcome: iterations run, residual Critical / Moderate count (or skipped — <reason>)
• merge-github-pr outcome: merged / skipped — <reason>
• For every skipped step, the verbatim reason returned by the delegated skill

Done when

• Exactly one issue was selected and either fully merged or the chain stopped at a documented blocker
• Every delegated skill that ran finished according to its own Done when contract
• The final report lists the four step outcomes and the PR URL (when one was created)

Output Humanization

• Use blader/humanizer for all skill outputs to keep the text natural and human-friendly.