This skill helps you model complex dependencies as a DAG to optimize task ordering, detect cycles, and reveal critical paths.
npx playbooks add skill bhagyas/dag-thinking-skill --skill dag-thinking
Dag Thinking is a workflow skill that enables developers to model complex dependencies as a directed acyclic graph, or DAG, in order to optimize task ordering and reveal critical paths. It helps detect cycles in dependencies, which can inform and improve the overall workflow. A developer would use Dag Thinking when they need to manage and optimize complex task dependencies in their workflow.
This compact 20-word instruction set is purpose-built for developer workflow work in AI coding agents. Install with a single command.
This skill helps you model complex dependencies as a DAG to optimize task ordering, detect cycles, and reveal critical paths.
Dag Thinking is a free developer workflow skill for AI coding agents. This skill helps you model complex dependencies as a DAG to optimize task ordering, detect cycles, and reveal critical paths.. It provides a specialized system prompt that configures your agent with developer workflow expertise.
Run npx playbooks add skill bhagyas/dag-thinking-skill --skill dag-thinking in your terminal to install Dag Thinking into your Claude Code session. It works immediately after installation.
Dag Thinking is compatible with Claude Code, Cursor, GitHub Copilot, Windsurf, OpenClaw, Cline, and any AI agent that supports custom system prompts or .cursorrules files.
Yes, Dag Thinking is completely free and open source. The full source is available on GitHub at https://github.com/bhagyas/dag-thinking-skill/tree/main/skills/dag-thinking. You only need a subscription to the AI agent you use it with.
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