Part of Run AI Coding Workflows With Agent Skills
Engineering Blueprint
Safety checkedAI & Advanced Engineering Tools
Agent design, RAG, database architecture, CI/CD, MCP servers, and reliability patterns for advanced systems.
What problem does this solve?
Equips agents with expertise in multi-agent orchestration, retrieval-augmented generation pipelines, database optimization, chaos engineering, and production reliability so teams architect complex AI systems, design resilient infrastructure, and automate advanced workflows without external tools.
How does it work?
- Choose a skill (agent-designer, rag-architect, database-designer, kubernetes-operator, etc.). 2. Provide system specifications, API definitions, or operational requirements. 3. Get tool schemas, RAG chunking strategies, database migrations, Kubernetes CRDs, feature flag architectures, SLO frameworks, or incident response runbooks. Includes skill-security-auditor for vetting skills before installation, and llm-wiki for building AI knowledge bases.
Included Skills
No skills in this group
Key Features
Agent & Workflow Design
Multi-agent orchestration, tool schemas, workflow patterns (sequential, parallel, router, evaluator)
RAG Architecture
Pipeline builder, chunking optimizer, retrieval evaluator for LLM knowledge systems
Database & Migration
Schema analyzer, ERD generation, index optimizer, zero-downtime migration planner
CI/CD & Deployment
GitHub Actions/GitLab CI generator, deployment strategies, pipeline architecture
Reliability Portfolio
Feature flags architect, Kubernetes operator, chaos engineering, SLO design, tech debt tracker
About This Blueprint
- Industry
- Technology
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