AI agent architecture and development patterns including tool use, memory systems, planning loops, and multi-agent orchestration. Use when building AI agents, designing tool interfaces, or implementing agent evaluation.
Prompt engineering principles and techniques for LLM applications including system prompts, chain-of-thought, few-shot learning, and prompt evaluation. Use when designing prompts, optimizing LLM outputs, or building prompt pipelines.
API design principles for REST, GraphQL, and gRPC including versioning, pagination, error handling, and documentation. Use when designing new APIs, reviewing API contracts, or migrating between API styles.
System architecture design including requirements analysis, trade-off evaluation, ADRs, and system decomposition. Use when designing new systems, evaluating architectures, or documenting design decisions.
Business analysis expertise for translating business needs into technical requirements. Use when eliciting requirements from stakeholders, modeling business processes, writing functional specifications, performing gap analysis, defining data dictionaries, or creating acceptance test scenarios from business rules.
Product management analysis for engineering-informed decision framing. Use when a task needs product framing, feature prioritization based on user impact and engineering reality, scope control to prevent complexity creep, or structured now/next/later sequencing with explicit tradeoffs.
Scrum and agile facilitation expertise for engineering teams. Use when planning sprints, facilitating retrospectives, removing blockers, tracking velocity and burndown, improving team processes, or coaching teams on agile principles and practices.
Professional technical writing expertise for clear, audience-appropriate documentation. Use when producing user-facing docs, API guides, onboarding materials, release notes, or any content that requires structured information architecture, consistent voice and tone, and accessibility across skill levels.