# Gh Bulk Issues

Orchestrate parallel Mastra Code headless instances to debug and fix multiple GitHub...

- Repository: https://github.com/mastra-ai/mastra (29259 stars)
- Category: Testing
- License: see repository
- Last updated: 2026-11-01
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add mastra-ai/mastra --skill gh-bulk-issues -g -a claude-code -y`
Codex: `npx skills add mastra-ai/mastra --skill gh-bulk-issues -g -a codex -y`
Cursor: `npx skills add mastra-ai/mastra --skill gh-bulk-issues -g -a cursor -y`
Gemini CLI: `npx skills add mastra-ai/mastra --skill gh-bulk-issues -g -a gemini-cli -y`

## Description

Orchestrate parallel Mastra Code headless instances to debug and fix multiple GitHub issues simultaneously

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Bulk Issue Solver

Orchestrate parallel `mc` (mastracode) headless instances to debug and fix multiple GitHub issues simultaneously. You act as the supervisor, spawning workers, monitoring progress, reviewing output, and creating PRs.

## Inputs

$ARGUMENTS should be a space-separated list of GitHub issue numbers, e.g. `1234 5678 9012`.

If no arguments are provided, use the GH CLI and the user's contribution history to recommend issues:

RUN gh issue list --state open --limit 50 --json number,title,labels,assignees
RUN git log --author="$(git config user.name)" --pretty=format:'' --name-only --since="6 months ago" | sed 's|/[^/]*$||' | sort | uniq -c | sort -rn | head -20

Summarize the user's contribution areas and match them to open issues. Ask the user which issues to work on before proceeding.

## Setup

For each issue number in the list:

1. **Create a git worktree** with a dedicated branch:

   ```
   git worktree add ../$(basename $PWD)-issue-<NUMBER> -b fix/issue-<NUMBER>
   ```

2. **Install and build** in the worktree. Run 2 worktrees at a time to manage CPU:

   ```
   cd ../$(basename $PWD)-issue-<NUMBER> && pnpm i && pnpm build
   ```

3. **Spawn an `mc` headless instance** in each worktree with a generous timeout (30 minutes):
   ```
   cd ../$(basename $PWD)-issue-<NUMBER> && pnpx tsx <path-to-mastracode>/src/main.ts --timeout 1800 --prompt "Activate the understand-issue skill for issue <NUMBER>"
   ```
   Run all instances as background processes with a matching timeout on `execute_command`. Track each PID.

## Monitoring

Create a `reports/` directory in the main project root. For each issue, maintain a `reports/issue-<NUMBER>.md` file with:

- Issue number, title, and link
- Current status (Analyzing / Implementing / Tests passing / PR open / Done)
- Summary of the approach and changes
- PR URL once created
- Any blockers or notes

**Check all processes every 3 minutes.** For each check:

The rest: https://github.com/mastra-ai/mastra/blob/HEAD/.mastracode/skills/gh-bulk-issues/SKILL.md