WHAT — C4 model methodology (Context, Container, Component, Code) guidance — what to draw at each level, when, and how to render C4-inspired diagrams via Mermaid (PlantUML/Structurizr optional advanced). Methodology not renderer.
Use Chrome DevTools MCP to control and inspect a live Chrome instance for network, console, performance, rendering, and Deep debugging. Pairs with playwright-cli (deterministic interaction/E2E) — complements, not duplicates.
Designs or reviews CLIs so coding agents can run them reliably: non-interactive flags, layered --help with examples, stdin/pipelines, fast actionable errors, idempotency, dry-run, and predictable structure. Use when building a CLI, adding commands, writing --help, or when the user mentions agents, terminals, or…
ClickUp CLI for managing tasks, sprints, comments, statuses, and Docs. Use when the user needs to interact with ClickUp — creating/editing tasks, checking sprint status, adding comments, linking PRs, managing Docs and pages, or searching tasks. Prefer this CLI over raw API calls.
WHAT — Vendor-neutral distributed cloud patterns (Retry, Bulkhead, Circuit Breaker, CQRS, Event Sourcing, etc.) abstracted from AWS/Azure/GCP sources — when to apply, tradeoffs, mapping to AWS/GCP/Azure primitives. Offline checklist, no live account required.
HOW — Run dbt checks as documented in the target repo (parse, compile, test, selective run). Does not configure Snowflake accounts or change cloud security.
Evidence-based deep code review rubric — severity + confidence findings across maintainability, correctness, security, performance, and testing. Push for ambitious structural simplification (code judo), not just local cleanup. Escalate hands-on triage to the code-reviewer agent.
WHAT - Browser-grounded iterative design improvement. Consumes design-assessment findings, defines direction, prioritizes safe vs ambiguous changes, implements within existing design system, runs app, captures rendered evidence via browser, reviews and iterates. Reuses evidence model — no new scoring framework.
Instructions for ulises-jeremias/agentic-workstation, covering ai agent guidelines for agentic-workstation, purpose, core principles, script standards and naming and structure.
Instructions for ulises-jeremias/agentic-workstation, a project described as: AI-native workstation provisioning layer — chezmoi, host policies and tooling that installs/configures Agent Toolkit across modern coding agents.