dag-fleet
SolidPersistent, budgeted, DAG-ordered runner for parallel `claude -p`, `codex exec`, or `pi -p` workers in tmux. Use ONLY when you need persistence across sessions, per-worker budget caps, dependency ordering, or mixed models/providers per worker. For ad-hoc parallel sub-agents inside a live conversation, use Claude Code's built-in Agent tool instead.
Install
Quality Score: 80/100
Skill Content
Details
- Author
- quickcall-dev
- Repository
- quickcall-dev/skills
- Created
- 4 months ago
- Last Updated
- 4 days ago
- Language
- Shell
- License
- Apache-2.0
Similar Skills
Semantically similar based on skill content — not just same category
fleet
Use when managing multiple Claude Code sessions — "fleet", "spawn workers", "manage sessions", "dispatch task to <project>", "check on workers", "boot a supervisor", parallel work across projects, long-running babysat jobs, or review pipelines. Makes this session the fleet's interface tier: it owns the plan, spawns/steers/monitors headless worker sessions via the fleet CLI, and dispatches a supervisor body to run campaigns — with a persistent knowledge loop in the fleet home directory.
suede-codex-fleet
Claude-directed parallel OpenAI Codex CLI worker fleet for bulk generation. Use when a job is high-volume, well-specified, and splits into independent worker-sized tasks (content batches, test generation, bulk refactors) and Codex CLI is installed and logged in. Claude decomposes, briefs, spawns codex exec runs in parallel, and review-gates every output. Workers are always codex exec processes billed to the user's OpenAI subscription — never substitute Claude subagent fan-out on any model, and halt rather than fall back if Codex CLI is unavailable. NOT FOR: multi-lane Claude agents coordinating one complex change (use suede-agent-teams); low-volume, judgment-dense copy Claude should write itself (use suede-copy or johnny-suede-write).
worktree-fleet
Independence-validated parallel fleet that runs each worker (claude -p, codex exec, or pi -p) in its own git worktree. Use when tasks touch non-overlapping files and you need merge-safe isolation (each worker on its own branch). For DAG-ordered one-shot workers with budgets, use dag-fleet. For headless iteration with a reviewer loop, use iterative-fleet.