AI Agent Workflow Collection

Bash/Linux terminal patterns. Critical commands, piping, error handling, scripting. Use when working on macOS or Linux systems.

Use when performing 3+ similar operations like file edits, searches, or git operations. Triggers on repetitive tasks, "do the same for", loop-like patterns. Enables parallel tool calls and batch-editor delegation.

AI operational modes (brainstorm, implement, debug, review, teach, ship, orchestrate). Use to adapt behavior based on task type.

When the user has a complex task that would benefit from multiple agents working in parallel or in sequence. Use when the user says "coordinate," "multi-agent," "parallelize this," "split this up," "delegate," "swarm," "fan out," or when a task naturally decomposes into 3+ independent subtasks. Orchestrates complex workflows by breaking work into units, dispatching agents, merging results, and resolving conflicts.

Database design principles and decision-making. Schema design, indexing strategy, ORM selection, serverless databases.

Production deployment principles and decision-making. Safe deployment workflows, rollback strategies, and verification. Teaches thinking, not scripts.

Documentation templates and structure guidelines. README, API docs, code comments, and AI-friendly documentation.

Game art principles. Visual style selection, asset pipeline, animation workflow.

Game design principles. GDD structure, balancing, player psychology, progression.

Generative Engine Optimization for AI search engines (ChatGPT, Claude, Perplexity).

Mobile-first design and engineering doctrine for iOS and Android apps.

Mobile game development principles. Touch input, battery, performance, app stores.

Multiplayer game development principles. Architecture, networking, synchronization.

Node.js development principles and decision-making. Framework selection, async patterns, security, and architecture. Teaches thinking, not copying.

Multi-agent orchestration patterns.

PC and console game development principles. Engine selection, platform features, optimization strategies.

Performance profiling principles. Measurement, analysis, and optimization techniques.

Structured task planning with clear breakdowns, dependencies, and verification criteria. Use when implementing features, refactoring, or any multi-step work.

Red team tactics principles based on MITRE ATT&CK. Attack phases, detection evasion, reporting.

Master Rust 1.75+ with modern async patterns, advanced type system features, and production-ready systems programming.

Core principles of SEO including E-E-A-T, Core Web Vitals, technical foundations, content quality, and how modern search engines evaluate pages.

Server management principles and decision-making. Process management, monitoring strategy, and scaling decisions. Teaches thinking, not commands.

Review a diff for clarity and safe simplifications, then optionally apply low-risk fixes.

Tailwind CSS v4 principles. CSS-first configuration, container queries, modern patterns, design token architecture.