claude

sdlc-team-common

Cross-cutting specialist agents — architects, researchers, performance engineers

42 on GitHubby SteveGJonesv1.0.0MITupdated 1 month ago
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Plugin sdlc-team-common from marketplace ai-first-sdlc in SteveGJones/ai-first-sdlc-practices. Commands read from the repo's manifest — 1 month ago.

What it installs

Subagents (8)

  • agent-builder

    Builds production agents from research via 6-phase pipeline, archetype selection, and knowledge distillation. Use when creating or rebuilding agents.

  • database-architect

    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.

  • deep-research-agent

    Executes systematic web research campaigns from structured prompts, evaluates sources via CRAAP, and produces synthesis documents.

  • observability-specialist

    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.

  • performance-engineer

    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.

  • pipeline-orchestrator

    Unified entry point for agent creation pipeline. Routes web research or repo analysis, then delegates to agent-builder for construction.

  • repo-knowledge-distiller

    Analyzes repositories and knowledge bases to produce synthesis documents for agent creation via RELIC evaluation and artifact discovery.

  • solution-architect

    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...

View source on GitHub

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