SteveGJones

SteveGJones/ai-first-sdlc-practices

Plugin Claude Code

Bundles 16 skills, 4 agents · 1,335 tokens together

Filesystem-based project knowledge base — librarian agent, hash-tracked indexes, ingest/query/lint operations. Orthogonal to SDLC option choice.

SteveGJones/ai-first-sdlc-practices

Plugin Claude Code

Bundles 1 agent · 45 tokens together

JavaScript/TypeScript-specific validation and patterns.

SteveGJones/ai-first-sdlc-practices

Plugin Claude Code

Bundles 1 agent · 116 tokens together

Kotlin language expert agent — idiomatic Kotlin 2.x, coroutines & structured concurrency, Flow, null-safety, sealed/data/value classes, generics, KSP, Java interop, and Kotlin Multiplatform basics. Pairs with sdlc-team-android.

SteveGJones/ai-first-sdlc-practices

Plugin Claude Code

Bundles 1 agent · 66 tokens together

Python-specific validation, patterns, and expert agents.

SteveGJones/ai-first-sdlc-practices

Plugin Claude Code

Bundles 1 agent · 119 tokens together

Swift language expert agent — idiomatic Swift 6.2, strict concurrency, value semantics, generics, macros, SwiftPM, and API design. Pairs with sdlc-team-ios for Apple-platform work.

SteveGJones/ai-first-sdlc-practices

Plugin Claude Code

Bundles 1 skill, 7 commands, 2 agents · 829 tokens together

Cross-model council: onboard the AI models reachable via locally installed peer agentic CLIs (codex, agy, opencode; extensible via one-directory adapters) by assessing them against a standardized problem stack, cast them into roles (a roster), and run cross-model fan-out plays (diff+synthesis, consensus, best-of-N…

SteveGJones/ai-first-sdlc-practices

Plugin Claude Code

Bundles 5 skills · 204 tokens together

Programme SDLC bundle — formal waterfall phase gates with mandatory cross-phase review.

SteveGJones/ai-first-sdlc-practices

Plugin Claude Code

Bundles 14 agents · 644 tokens together

AI/ML specialist agents — architects, prompt engineers, RAG designers.

SteveGJones/ai-first-sdlc-practices

Plugin Claude Code

Bundles 4 skills, 6 agents · 893 tokens together

Android development — Material Design 3, Jetpack Compose, app architecture, Gradle, Play Store release & performance agents, plus scaffold/signing/play-release skills and Play submission pre-flight checks. Install with sdlc-team-mobile; pairs with sdlc-lang-kotlin.

SteveGJones/ai-first-sdlc-practices

Plugin Claude Code

Bundles 3 agents · 137 tokens together

Cloud infrastructure agents — cloud, container, SRE specialists.

SteveGJones/ai-first-sdlc-practices

Plugin Claude Code

Bundles 8 agents · 291 tokens together

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

SteveGJones/ai-first-sdlc-practices

Plugin Claude Code

Bundles 2 agents · 91 tokens together

Documentation agents — technical writer, documentation architect.

SteveGJones/ai-first-sdlc-practices

Plugin Claude Code

Bundles 9 agents · 372 tokens together

Web full-stack agents — frontend, backend, API, data, DevOps, UX & integration architects.

SteveGJones/ai-first-sdlc-practices

Plugin Claude Code

Bundles 5 skills, 4 agents · 723 tokens together

iOS/iPadOS development — Apple HIG design, SwiftUI architecture, release engineering & performance agents, plus TestFlight/App Store release skills and submission pre-flight checks. Install with sdlc-team-mobile.

SteveGJones/ai-first-sdlc-practices

Plugin Claude Code

Bundles 2 agents · 146 tokens together

Shared mobile base — cross-platform mobile architecture and interaction UX agents. Install alongside sdlc-team-ios and/or sdlc-team-android.

SteveGJones/ai-first-sdlc-practices

Plugin Claude Code

Bundles 5 agents · 218 tokens together

Project management agents — agile coach, delivery manager, progress tracking.

SteveGJones/ai-first-sdlc-practices

Plugin Claude Code

Bundles 5 agents · 239 tokens together

Security agents — security, compliance, privacy specialists.

SteveGJones/ai-first-sdlc-practices

Plugin Claude Code

Bundles 6 skills, 1 agent · 234 tokens together

Containerised delegated execution for the AI-First SDLC — Archon orchestrates DAG workflows where each node runs in an isolated Docker container with team-scoped plugins, agents, and skills. Includes tiered termination (budget + timeout), 4 bundled workflows, and 6 skills.