antonchirikalov

AWS infrastructure reference knowledge for Terraform deployment, AWS services configuration, AMI building with GPU/NVIDIA drivers, and deployment troubleshooting. Provides production-ready reference docs for ALB, ASG, Lambda, CloudWatch, Image Builder, and Terraform IaC patterns.

Detects infinite loops and stale iterations in design-review cycles. Compares Critic feedback across iterations to find repeated issues. Use when managing iterative review workflows to prevent wasted cycles on unresolvable issues.

Structured markdown logging for multi-agent design workflows. Appends formatted events to workflow_log.md with timestamps, phase info, and agent activity. Use when recording workflow progress, phase transitions, Critic verdicts, or final summaries.

Manages workflow state for multi-agent design workflows. Tracks current phase, iteration count, document status, and agent activity. Use when orchestrating multi-phase workflows that need persistent state between agent invocations, or when checking workflow progress.

Gold-standard structure and quality criteria for the technical solution proposals produced by the solution_designer agent and judged by the critic. Load this skill before writing or reviewing any _solution_design.md file. Works for any software project; AI/ML becomes the spine whenever the system has one (the common case). Single recommended architecture; no multiple options; no effort/time/cost estimates anywhere.

Generates interactive Word clarification forms with native SDT checkboxes, dropdowns, and pre-filled tables from a JSON spec. No macros, no document protection required.

Gold-standard structure and quality criteria for requirements documents produced by the requirements_writer agent. Load this skill before writing or reviewing any _requirements.md file.

Generates publication-quality academic illustrations using the PaperBanana package (llmsresearch/paperbanana) — a multi-agent pipeline (Retriever → Planner → Stylist → Visualizer ↔ Critic) with OpenAI as the provider.

Gold-standard structure and quality criteria for the technical solution proposals produced by the solution_designer agent and judged by the critic. Load this skill before writing or reviewing any _solution_design.md file. Works for any software project; AI/ML becomes the spine whenever the system has one (the common case). Single recommended architecture; no multiple options; no effort/time/cost estimates anywhere.

Generates publication-quality academic illustrations using the PaperBanana package (llmsresearch/paperbanana) — a multi-agent pipeline (Retriever → Planner → Stylist → Visualizer ↔ Critic) with OpenAI as the provider.