github-speckit-tester

Automate Speckit workflow testing by executing the complete pipeline non-interactively from Phase 0 through Phase 3, validating artifact generation and cross-phase consistency without manual intervention. This skill orchestrates all phases automatically, logs execution metrics including tokens consumed, and ensures robust specification-to-implementation output.

Yes, this skill executes the full Speckit pipeline non-interactively by automatically making decisions for ambiguous steps, enabling zero-user-interaction validation of spec.md, plan.md, tasks.md, and Terraform code generation across all phases with detailed execution logging.

Running automated Speckit workflow tests requires Docker and Node.js installed in your environment. These dependencies enable containerized subagent orchestration and pipeline execution for validating all phases of specification-to-implementation generation.

Subagent orchestration isolates each Speckit phase's execution into separate managed agents, improving debugging visibility and execution efficiency. This approach enables detailed per-phase logging, token tracking, and clearer failure attribution across the complete workflow.

Automated Speckit testing validates generation of spec.md, plan.md, tasks.md, and infrastructure-as-code (Terraform) artifacts across all pipeline phases. The skill confirms artifact consistency and completeness before production rollout of infrastructure requirements.

Yes, this skill automates testing of infrastructure specifications through the complete Speckit pipeline, from initial requirement to Terraform code generation. It validates end-to-end workflows for infrastructure components like Auto-Scaling Groups with load balancers before sandbox deployment.