mcpbeat

Do Issue

athola/do-issue

Implements GitHub or GitLab issues via parallel subagents with review gates between task batches. Use when resolving multi-step issues end-to-end.

8k tokens
context cost
the whole folder, loaded on every use
7
files
instructions only
0
copies elsewhere
how many repositories repackaged it
324
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/athola/claude-night-market --skill do-issue

The instruction itself

11 sections, as written by the author

When NOT To Use

  • A single-file fix obvious enough to make directly
  • Preparing the PR once the work is done (use sanctum:pr-prep)

Table of Contents

  • Key Features
  • Workflow Overview
  • Required TodoWrite Items
  • Configuration
  • Detailed Resources

Fix Issue(s)

Retrieves issue content from the detected git platform (GitHub, GitLab, or Bitbucket) and uses subagent-driven-development to systematically address requirements, executing tasks in parallel where dependencies allow.

Platform detection is automatic via the leyline:git-platform SessionStart hook. Check session context for git_platform: to determine which CLI to use.

Key Features

  • Cross-Platform: Automatically detects GitHub/GitLab/Bitbucket and uses appropriate CLI
  • Flexible Input: Single issue number, platform URL, or space-delimited list
  • Parallel Execution: Independent tasks run concurrently via subagents
  • One PR: All issues produce one consolidated PR (never per-issue PRs)
  • Quality Gates: Code review between task groups
  • Fresh Context: Each subagent starts with clean context for focused work

Workflow Overview

| Phase | Description | Module |

|-------|-------------|--------|

| 1. Discovery | Parse input, fetch issues, extract requirements | issue-discovery |

| 2. Planning | Analyze dependencies, create task breakdown | task-planning |

| 3. Execution | Dispatch parallel subagents for independent tasks | parallel-execution |

| 4. Quality | Code review gates between task batches | quality-gates |

| 5-6. Completion | Sequential tasks, final review, issue updates | completion |

Required TodoWrite Items

  • do-issue:discovery-complete
  • do-issue:tasks-planned
  • do-issue:parallel-batch-complete
  • do-issue:review-passed
  • do-issue:sequential-complete
  • do-issue:issues-updated

Forge CLI Commands

Use the platform detected in session context (git_platform:). See Skill(leyline:git-platform) for full mapping.

| Operation | GitHub (gh) | GitLab (glab) |

|-----------|---------------|-----------------|

| Fetch issue | gh issue view <N> --json title,body,labels,comments | glab issue view <N> |

| Comment | gh issue comment <N> --body "msg" | glab issue note <N> --message "msg" |

| Close | gh issue close <N> --comment "reason" | glab issue close <N> |

| Search | gh issue list --search "query" | glab issue list --search "query" |

Verification: Run the command with --help flag to verify availability.

Agent Teams (Default Execution Mode)

Agent teams is the default parallel execution backend for do-issue. Teammates coordinate via filesystem-based messaging, enabling real-time communication when shared files or dependencies are discovered mid-implementation.

Automatic downgrade: For single issues with --scope minor, agent teams is skipped (Task tool or inline execution is used instead). Use --no-agent-teams to force Task tool dispatch for any invocation.

Requires: Claude Code 2.1.32+, tmux, CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1. If prerequisites are missing, silently falls back to Task tool dispatch.

# Agent teams configuration
fix_issue:
  agent_teams:
    enabled: true           # on by default; --no-agent-teams to disable
    max_teammates: 4        # limit concurrent workers
    model: sonnet           # teammate model (lead uses current model)
    auto_downgrade: true    # skip agent teams for --scope minor

See modules/parallel-execution.md for detailed agent teams patterns.

Configuration

fix_issue:
  parallel_execution: true
  max_parallel_subagents: 3
  review_between_batches: true
  auto_close_issues: false
  commit_per_task: true

Verification: Run the command with --help flag to verify availability.

Detailed Resources

  • Phase 1: See modules/issue-discovery.md for input parsing and requirement extraction
  • Phase 2: See modules/task-planning.md for dependency analysis
  • Phase 3: See modules/parallel-execution.md for subagent dispatch
  • Phase 4: See modules/quality-gates.md for review patterns
  • Phase 5-6: See modules/completion.md for finalization
  • Errors: See modules/troubleshooting.md for common issues

Exit Criteria

  • [ ] All 6 required TodoWrite items (do-issue:discovery-complete

through do-issue:issues-updated) are created before execution

starts and each marked complete when its phase finishes

  • [ ] Issue requirements fetched using the correct forge CLI (gh for

GitHub, glab for GitLab) as detected in session context

  • [ ] Exactly one consolidated PR is opened covering all issues; no

per-issue PRs are created

  • [ ] Code review gate runs between parallel task batches and must

pass before the next batch is dispatched

  • [ ] All specified issues are commented on or closed with a reference

to the PR after it is ready for review

How to use it

Copy the folder

Take athola/do-issue from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.