Skills for service, API, and data work: design, test-first implementation, performance, and shipping. (19 skills)
Skills for UI/UX, component architecture, accessibility, and client-side performance. (16 skills)
Skills for CI/CD, containers, infrastructure-as-code, delivery, observability, and incidents. (19 skills)
Skills for ML pipelines, experiment tracking, evaluation, model deployment, and the data/observability around them. (14 skills)
Skills for LLM-powered applications: prompt/RAG/agent design, evaluation, experiment tracking, model deployment, and the API around them. (12 skills)
Skills for data pipelines, analytics engineering, data quality/contracts, schema design, test data, and pipeline observability. (12 skills)
Skills for design-time threat modeling, security audits, dependency/CVE management, blast-radius analysis, and incident handling. (15 skills)
Skills for structural decisions, documentation, contracts, blast radius, and technical-debt strategy. (17 skills)
Skills for planning, estimation, metrics, retros, proposals, reviews, and steering reviews and incidents. (14 skills)
Skills for proposals, PRDs/specs, estimation, OKRs/metrics, retrospectives, and strategic reviews. (8 skills)
Skills for pre-public and strategic reviews: vision and positioning, market analysis, build-vs-buy decisions, execution-vs-roadmap, and go/no-go synthesis. (8 skills)
Skills for test-first development, coverage strategy, test data, review, and systematic debugging. (11 skills)
Skills for native and cross-platform mobile apps: architecture, offline/sync, UI/UX, accessibility, performance, API contracts, and app-store releases. (13 skills)
Skills for user flows, accessibility, product requirements, and the frontend architecture that realizes them. (6 skills)