TheOrqestra

Expert reference for application security — OWASP Top 10 mitigations, auth/authz, secrets management, cryptography, input validation, dependency hygiene, and secure-by-default code patterns

Expert reference for token counting, prompt compression, cost estimation, and quality preservation when optimizing prompts for Claude models

Experimentation design and A/B testing standards for product teams

Expert reference for digital accessibility — WCAG conformance, ARIA, and inclusive design patterns

Authoritative reference for agent architecture selection, multi-agent orchestration, tool design, memory systems, and failure mode prevention

Expert reference for evaluating LLM systems, RAG pipelines, and AI features in production

Machine learning engineering patterns for model selection, feature engineering, training pipelines, evaluation, and production deployment.

Authoritative reference for input validation, output filtering, PII handling, jailbreak defense, and compliance-grade audit logging

Dense reference for building and operating analytics frameworks — metric design, data modeling, instrumentation, and analytical workflow standards.

API gateway responsibilities, product selection, rate limiting, auth delegation, routing, transformation, caching, observability, and circuit breaking for production systems

Secure API design covering OAuth 2.0 flows, JWT standards, API key lifecycle, zero-trust, rate limiting, and OWASP API Top 10

AWS Well-Architected design decisions, account structures, IAM patterns, compute selection, and cost traps for production workloads

Azure landing zone design, Entra ID patterns, compute selection, networking with Private Endpoints, and cost optimization for enterprise workloads

Brand identity standards for digital and marketing applications — hierarchy, logo, typography, tone, and governance.

Expert reference for CDN strategy, cache configuration, and edge computing patterns

Organizational change management for technology and business initiatives, covering ADKAR, stakeholder strategy, resistance handling, and adoption measurement.

Use this skill whenever the task involves CI/CD configuration, deployment pipelines, build automation, GitHub Actions, GitLab CI, Jenkins, CircleCI, ArgoCD, Kubernetes deployments, Docker builds, release management, environment promotion, secrets management in pipelines, or any .github/workflows/, .gitlab-ci.yml, Jenkinsfile, or Dockerfile. Trigger on: "set up CI", "automate deployment", "build pipeline", "deploy to prod", "release process".

Cloud infrastructure design and operations across AWS, GCP, and Azure — architecture decisions, IaC, networking, storage, IAM, cost, DR, and observability.

Expert reference for CMS architecture, content modeling, editorial workflows, and headless/hybrid implementation standards

Color theory for digital product and UI design — color models, harmony, contrast, scales, and visualization.

Expert reference for conducting, structuring, and operationalizing competitive analysis — from intelligence gathering to strategic positioning decisions.

Expert reference for building, maintaining, and governing design system component libraries

Production container patterns covering multi-stage Dockerfiles, image security, build optimization, runtime security, PID 1, and Docker Compose

Expert reference for content decisions in products and interfaces — UX copy, information hierarchy, structure selection, and writing rules for specific content contexts

Expert reference for cloud cost optimization, FinOps practices, and infrastructure unit economics

Expert reference for building and analyzing customer journey maps — touchpoints, emotional arcs, friction diagnosis, and actionable insight extraction.

Use this skill when designing data governance frameworks, data catalogs, ownership models, access controls, data quality standards, lineage documentation, or compliance policies (GDPR, CCPA, SOC2). Activates for requests about data definitions, stewardship, classification, or trust in data.

Expert reference for relational and document data modeling — schema design, normalization, indexing strategy, and common pitfalls

Data pipeline architecture and design patterns for production-grade ETL/ELT, streaming, and orchestration systems.

Use this skill whenever the task involves schema design, data modeling, normalization, indexing, query optimization, migrations, or choosing between relational/NoSQL storage. Trigger on: ERD design, table creation, foreign keys, indexes, stored procedures, ORM models, partitioning, replication, or any mention of PostgreSQL, MySQL, SQLite, MongoDB, Redis, Cassandra.

Selecting, implementing, and extending UI component libraries and design systems — tokens, composition, theming, and accessibility.

Expert reference for building, scaling, and governing design systems — tokens, component APIs, documentation, adoption, and contribution governance

Expert reference for embedding security into CI/CD pipelines, container supply chains, and developer workflows

Expert reference for embedded systems development — resource-constrained design, real-time patterns, and hardware-software integration

Error handling patterns across frontend, backend, and APIs — taxonomy, Result types, RFC 7807, retry logic, and structured logging.

Design and implement event-driven systems using Kafka, event sourcing, sagas, and the outbox pattern with schema discipline

Expert reference for producing executive-grade communication — decision memos, escalation docs, strategy briefs, OKRs, board updates, financial translation, and stakeholder sequencing

Expert reference for feature flag architecture, lifecycle management, and progressive delivery

Expert reference for financial modeling, unit economics, and business case analysis.

Expert reference for LLM fine-tuning decisions, dataset curation, training, and deployment