Default path for all single-workflow work: new one-off workflows, existing- workflow edits, verification repairs, and workflow-local data tables. Write or edit a workspace source file, then call build-workflow with filePath. Do not load planning or create-tasks first. Load planning only when multiple coordinated workflows or shared cross-task data tables require a dependency-aware task graph.
Authors a new Instance AI workflow eval case in packages/@n8n/instance-ai/evaluations/data/workflows — build cases, behaviour/process cases, credential cases, and seeded (mid-conversation) cases — with intent-driven expectations calibrated against a real build. Use when adding or changing an Instance AI workflow eval, or debugging why one is flaky.
Handles workflow verification and setup after build-workflow succeeds, or when the message contains workflow-verification-follow-up or workflow-setup-required. Load after direct builds, when verificationReadiness requires action, or on orchestrator verify/setup follow-up turns.
Reproduce a bug from a Linear ticket with a failing test. Expects the full ticket context (title, description, comments) to be provided as input.
Handles system follow-up turns: planned-task-follow-up (synthesize, replan, build-workflow, checkpoint), background-task-completed, running-tasks context, create-tasks silence rules, and detached delegate completion. Load whenever any of these tags appear or after spawning create-tasks or delegate.
Debug failed or wrong-output workflow executions using executions tools. Load when the user reports execution failures, unexpected node output, empty parameter values after a successful run, or a node showing a red or failed expression error.
Answers n8n product, setup, credential, node, hosting, API, and usage questions from current n8n docs. Use when the user asks how to configure, set up, troubleshoot, or understand n8n behavior, especially credential setup questions opened from the credential modal.
Reviews a GitHub pull request like a thoughtful human reviewer and writes the feedback to a markdown file. Prioritizes context, architecture fit, solution complexity, bugs, security edge cases, and missing tests. Use when given a PR URL to review, or when the user says /human-like-code-review.