NickCrew

Terraform infrastructure-as-code best practices for scalable and maintainable cloud infrastructure. Use when writing Terraform modules, managing infrastructure state, or implementing infrastructure automation at scale.

Database schema design patterns and optimization strategies for relational and NoSQL databases. Use when designing database schemas, optimizing query performance, or implementing data persistence layers at scale.

Use this skill when writing fiction, narrative nonfiction, brand stories, or any content where emotional engagement and narrative arc matter more than pure information delivery. Trigger phrases: ''write a short story'', ''tell my brand''s origin story'', ''write a narrative about'', ''create a character''. Do NOT use for purely informational content, technical writing, or persuasive copy without a

Automate code review remediation loops with the codex CLI. Requests reviews from codex, classifies findings by severity (P0-P4), fixes critical issues (P0/P1) through iterative cycles, defers quality improvements to backlog, and escalates after 3 review cycles. Use when working with code that needs structured remediation: ''codex review'' in a request triggers this workflow.

User-triggered deep architectural analysis of a codebase or scoped subtree across eight modes — information architecture, data flow, integration points, UI surfaces, interaction patterns, data model, control flow, and failure modes. This skill should be used when the user asks to "diagram this codebase," "map the architecture," "show the data flow," "give me an ERD," "trace control flow," "find th

Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos).

Use when facing 3+ independent failures that can be investigated without shared state or dependencies - dispatches multiple Claude agents to investigate and fix independent problems concurrently

Fast mechanical scan for surface-level AI tells in prose artifacts — banned tokens, punctuation patterns, and stock vocabulary that mark text as machine-generated. Auto-engages on writing tasks (READMEs, technical docs, PR descriptions, tutorials, guides, blog posts, release notes, any prose-as-artifact work). Runs as a near-checklist pass before output is presented; catches the obvious tells that

Timeboxed divergent ideation that outputs ranked options plus day-one experiments.

Flip, remove, or exaggerate assumptions to unlock new solution angles.

Use when creating new skills, editing existing skills, or verifying skills work before deployment - applies TDD to process documentation by testing with subagents before writing, iterating until bulletproof against rationalization

Use when generating tests for new or existing code to improve coverage - provides a structured workflow for analyzing code, creating tests, and validating coverage goals.