dag-fleet
OfficialRun budgeted DAG workers in tmux
Software Engineering#tmux#agent execution#fleet management#dag orchestration#dependency ordering#budget enforcement#parallel workers
Authorquickcall-dev
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill eliminates the complexity of coordinating multiple long-running AI worker tasks that must run in dependency order while staying within per-worker and fleet-wide budgets.
Core Features & Use Cases
- DAG-ordered parallelism: Launches workers in layers so each task starts only after its
depends_onworkers complete. - Budget enforcement: Applies per-worker hard caps (
max_budget_usd) and optional fleet total cap (max_budget_fleet) to control spending. - Tmux-based persistence and visibility: Runs each worker in its own tmux window for attach-and-monitor workflows across sessions.
- Multi-provider support: Supports Claude (
claude -p), Codex (codex exec), and Pi (pi -p) with provider-specific settings and tool restrictions.
Quick Start
Use the dag-fleet skill to launch a fleet by creating a fleet.json with your workers and dependencies, then run: npx skills add quickcall-dev/skills --skill dag-fleet
Dependency Matrix
Required Modules
bashjqtmuxflockjqpython3claudecodexpigitjq
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: dag-fleet Download link: https://github.com/quickcall-dev/skills/archive/main.zip#dag-fleet Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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