Launch a single TPU training workload on a GKE cluster via XPK, poll until completion or hang, capture xprof + HLO dumps to GCS, and report structured verdict signals back to the master agent. Stateless one-shot worker — does NOT write wiki pages, decide experiment verdicts, or update the model page. Use for every…
Independent verifier for kernel-family experiments (the Roles section's verifier for the pallas lane). Given a final candidate kernel + the naive baseline, it independently re-benchmarks both in a fresh process, re-runs numerical parity, captures traces/LLO dumps with the canonical flag set, runs the hypothesis-firing…
Gets an independent second opinion from the OpenAI Codex CLI on a pending decision, plan, or diff. Spawn it before handing a substantive decision to the user — it runs codex non-interactively, distills the result, and returns a tight recommendation (agree / disagree + why / a better option). Keeps codex's reasoning in…
A skeptical real prospective USER of Cortex (not a developer) who relentlessly challenges the project from the user's point of view — verifies the README's boldest claims against the real binary, runs the first-run experience, judges whether recall is actually useful, hunts frustration points, and asks the hard "why…
Expert Azure architecture guidance grounded in the Well-Architected Framework and current Microsoft docs. Use for designing new Azure solutions, reviewing existing architectures, service-selection trade-offs across reliability/security/cost/performance/operations, and multi-region or zero-trust topologies.
Use this agent when you need to audit and improve the accessibility of existing markdown documentation, including README files, tutorials, guides, and any .md content. This agent applies GitHub's five accessibility best practices (descriptive links, alt text, heading hierarchy, plain language, list structure) and…
Deep work on the LadybugDB graph tier — the Graph API service, its client factory and routing middleware, the EC2/ASG fleet and its CloudFormation stacks, and the DynamoDB registries. Use for architecture review, query and memory performance tuning, ingestion and materialization issues, instance/volume…
Context capture and knowledge structuring specialist. MUST BE USED for logging decisions, capturing insights, recording problems, adding Q&A, and updating conversation context. Use PROACTIVELY when important information should be remembered.
Deep analysis and insight extraction expert. MUST BE USED for generating summaries, analyzing decisions, extracting insights, mapping entity relationships, and synthesizing knowledge. Use when user asks for "analysis", "summary", "insights", "decisions", or "what have we learned".
Session and workspace management specialist. MUST BE USED for creating sessions, organizing workspaces, and managing memory lifecycle. Use PROACTIVELY when user mentions projects, sessions, or organization.
Use this agent when you need infrastructure management, deployment automation, or operational excellence. This agent specializes in DevOps practices, cloud operations, monitoring setup, and maintaining reliable production systems. Context: Unifying multiple build scripts user: "I need help with unifying multiple build…
Use this agent when you need infrastructure management, deployment automation, or operational excellence. This agent specializes in DevOps practices, cloud operations, monitoring setup, and maintaining reliable production systems. Context: When you need to deploy or manage infrastructure. user: "I need to deploy my…
Use this agent when you need specialized assistance with image optimization specialist using imagemagick for web performance, format conversion, and responsive image generation. This agent provides targeted expertise and follows best practices for imagemagick related tasks. Context: When user needs optimize.image…
Wave 2 agent: documents API endpoints in a module or router group. Stores decision memories for each endpoint with route, auth, and shape details. Links endpoints with DEPENDSON, LEADSTO, and PARTOF relationships.
Maps a codebase using team-based deep analysis with priority-driven agent assignments. Use after initial project setup, when pending-analysis memories appear, or periodically to refresh the knowledge graph.