complexity-assessment

To evaluate task complexity for requirements gathering, analyze task requirements to determine true complexity across scope, integrations, infrastructure, knowledge, and risk. This produces a structured complexity assessment that guides downstream planning and routing decisions.

Classifying project tasks into simple, standard, or complex tiers requires a multi-dimension analysis of scope, integrations, infrastructure, knowledge, and risk. This holistic risk profile matches tasks to appropriate workflows and generates decision-ready metadata.

Route a feature request to quick_spec or a full research-led specification by running a complexity assessment on the task requirements. The resulting metadata determines whether the workload is simple enough for quick_spec or requires full research validation phases.

Yes, you can analyze workflow risk and complexity by providing a requirements.json file containing task_description and workflow_type. Running the assessment generates a complexity_assessment.json detailing scope, integrations, infrastructure, knowledge, and risk.

After assessing task complexity, the recommended downstream planning phases include routing to quick_spec, requirements, research, and validation phases. The structured assessment outputs standardized metadata to guide these subsequent planning and validation agents.

Complexity tiering works across simple to complex workloads by evaluating task requirements to determine true complexity. It is applied to requirements gathering and planning, generating decision-ready metadata for use by planning and validation agents regardless of workload size.