Delegate SDLC workflows to specialist AI agents that architect cloud-native systems, design databases, conduct deep web research, optimize performance and observability, distill repo knowledge, and build production agents via orchestrated pipelines.
npx claudepluginhub stevegjones/ai-first-sdlc-practices --plugin sdlc-team-commonUnified entry point for agent creation pipeline. Routes web research or repo analysis, then delegates to agent-builder for construction.
Analyzes repositories and knowledge bases to produce synthesis documents for agent creation via RELIC evaluation and artifact discovery.
Builds production agents from research via 6-phase pipeline, archetype selection, and knowledge distillation. Use when creating or rebuilding agents.
Expert in database design, schema modeling, query optimization, HA/DR architecture, and data security. Use for database technology selection, performance tuning, migration planning, and compliance implementation.
Executes systematic web research campaigns from structured prompts, evaluates sources via CRAAP, and produces synthesis documents.
Expert in OpenTelemetry instrumentation, distributed tracing, log aggregation, metrics dashboards, SLO/SLI definitions, and alerting strategies. Designs comprehensive observability solutions with cost management and incident response integration.
Expert in performance testing, profiling, optimization, and capacity planning. Use for load testing strategy, bottleneck analysis, Core Web Vitals optimization, Kubernetes autoscaling, database query tuning, and performance SLA compliance.
Expert in system architecture design, TOGAF/C4 frameworks, distributed systems patterns, cloud-native architecture, and technology evaluation. Use for end-to-end solution design, migration strategies, scalability planning, and architectural decisi...
Use this agent when creating user interfaces, designing components, building design systems, or improving visual aesthetics. This agent specializes in creating beautiful, functional interfaces that can be implemented quickly within 6-day sprints. Examples:\n\n<example>\nContext: Starting a new app or feature design
Comprehensive PR review agents specializing in comments, tests, error handling, type design, code quality, and code simplification
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
Use this agent when you need expert assistance with React Native development tasks including code analysis, component creation, debugging, performance optimization, or architectural decisions. Examples: <example>Context: User is working on a React Native app and needs help with a navigation issue. user: 'My stack navigator isn't working properly when I try to navigate between screens' assistant: 'Let me use the react-native-dev agent to analyze your navigation setup and provide a solution' <commentary>Since this is a React Native specific issue, use the react-native-dev agent to provide expert guidance on navigation problems.</commentary></example> <example>Context: User wants to create a new component that follows the existing app structure. user: 'I need to create a custom button component that matches our app's design system' assistant: 'I'll use the react-native-dev agent to create a button component that aligns with your existing codebase structure and design patterns' <commentary>The user needs React Native component development that should follow existing patterns, so use the react-native-dev agent.</commentary></example>
Comprehensive startup business analysis with market sizing (TAM/SAM/SOM), financial modeling, team planning, and strategic research
Semantic search for Claude Code conversations. Remember past discussions, decisions, and patterns.