Uses subagents for parallel execution with code review gates between batches. Use when addressing issues systematically, multiple related issues need fixing, tasks can be parallelized across subagents, quality gates needed between task batches. Do not use when single simple fix - just implement directly. DO NOT use when: issue needs clarification - comment first to clarify scope.
Executes multiple related code fixes in parallel batches with quality review gates between groups.
/plugin marketplace add athola/claude-night-market/plugin install pensive@claude-night-marketThis skill inherits all available tools. When active, it can use any tool Claude has access to.
modules/completion.mdmodules/issue-discovery.mdmodules/parallel-execution.mdmodules/quality-gates.mdmodules/task-planning.mdmodules/troubleshooting.mdRetrieves 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.
| 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 |
do-issue:discovery-completedo-issue:tasks-planneddo-issue:parallel-batch-completedo-issue:review-passeddo-issue:sequential-completedo-issue:issues-updatedUse 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 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.
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.
Activates when the user asks about AI prompts, needs prompt templates, wants to search for prompts, or mentions prompts.chat. Use for discovering, retrieving, and improving prompts.
Search, retrieve, and install Agent Skills from the prompts.chat registry using MCP tools. Use when the user asks to find skills, browse skill catalogs, install a skill for Claude, or extend Claude's capabilities with reusable AI agent components.
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.