MULTI
TASKING,
FINALLY.
Turn any task into parallelized AI workflows with 176+ curated skills. Say what you want built. WinDAGs figures out how.
HOW IT WORKS
From natural language to parallel execution in four steps.
DESCRIBE
Tell WinDAGs what you want in plain English. No jargon required.
DECOMPOSE
Your request gets broken into subtasks automatically. DAGs form.
MATCH
Each subtask gets matched to specialist skills from our 176+ library.
EXECUTE
Agents run in parallel waves. Outputs flow forward. You stay in control.
BUILT FOR POWER USERS
The intelligence layer for Claude Code. No more one-task-at-a-time.
From API architecture to crisis response. Each skill makes an agent an instant expert. Quality over quantity.
Nodes with resolved dependencies run simultaneously. 5 waves of agent calls that feed forward into each other.
Spawns `claude -p` CLI processes—not nested API calls. Each agent runs independently with skill-injected expertise.
Approval gates let you review before execution. Cost estimates before you spend. Stop any time.
176+ SKILLS
ONE TEAM
Skills are expertise packages. They get injected into agents at runtime, turning generic Claude into a specialist. You don't pick skills—WinDAGs matches them automatically.
Browse All SkillsWHY WINDOWS 3.11?
We didn't pick Windows 3.1 randomly. Windows for Workgroups was Microsoft's first attempt at cooperative multitasking and network-aware computing.
WinDAGs is the same idea, 30 years later, for AI agents.
It's not a joke. It's a statement.
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