Automate creation and maintenance of YAML-based DV Flow Manager workflows.
npx skills add https://github.com/dv-flow/dv-flow-mgr --skill dv-flow-manager
Please help me install this Agent Skill. Skill: dv-flow-manager Source: https://github.com/dv-flow/dv-flow-mgr/tree/main/src/dv_flow/mgr/share Command: npx skills add https://github.com/dv-flow/dv-flow-mgr --skill dv-flow-manager
DV Flow Manager enables teams to define, validate, and execute complex dataflow-based workflows for silicon design using YAML-based flow.yaml and flow.dv definitions, transforming manual orchestration into repeatable automation.
Create a minimal flow.yaml with a single root task that uses std.FileSet and a downstream run task.
High-intent search queries and answers about installing and using this skill.
Automating YAML-based workflows for silicon design verification is achieved by defining tasks, dependencies, and dataflow patterns in flow.yaml files. This transforms manual orchestration into repeatable automation, enabling rapid iteration and execution across packages.
Dfm commands handle task dependencies and dataflow in flow.yaml by validating produces and consumes patterns. This declarative approach ensures correct execution order and data passing between tasks during silicon design and verification processes.
Flow.dv definitions support running and validating multi-environment builds and CI/CD pipelines. You can use fragments, overrides, and configurations to manage complex silicon design workflows across different environments.
AI agent integration enables LLM-assisted prompts to drive dfm-enabled workflows directly. Agents can discover, validate, and execute silicon design tasks defined in flow.yaml, bridging declarative workflow definitions with automated orchestration.
Structuring a minimal flow.yaml requires defining a single root task using std.FileSet and a downstream run task. This establishes the foundational dataflow pattern for your silicon design verification workflow.
DV Flow Manager supports packages, fragments, and overrides for multi-environment builds. These configurations allow teams to manage complex silicon design workflows and CI/CD pipelines with flexible, declarative definitions.
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