What problem does it solve? Running quality gates manually across heterogeneous projects (Nx monorepos, Rust, Go, Python) is error-prone and inconsistent. This Skill automates stack detection and executes build, lint, typecheck, and test stages in the correct order, returning a structured numbered report so developers can fix failures without guessing. ## Core Features & Use Cases - Automatic Stack Detection: Scans the worktree for signals like package.json, Cargo.toml, go.mod, nx.json, and biome.json to build a stack profile and pick the right commands. - Ordered Quality Gates: Runs Stage A (build) through Stage E (test naming lint), stopping at the first failure with a formatted report including root cause hypotheses and reproduction commands. - Evidence Retention Outside the Worktree: Writes QA reports, screenshots, and SHA256 evidence manifests to session and workspace directories, never polluting the user's repository. - Use Case: After a developer completes a task in a pnpm/Nx monorepo, invoke this Skill to run affected builds, Biome lint, tsc typecheck, and Vitest tests, then receive a PASS/FAIL report with an auditable evidence manifest. ## Quick Start Ask the agent to run QA on the current task's modified files in the worktree and return a structured pass or fail report.