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agentic-sdlc

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Agent skills for the Agentic SDLC: team lifecycle (team-boot, team-learn, team-init, team-repair), software factory, evals, CDR lifecycle with confidence scoring, and ADR/PDR/ChDR decision records. Works with Claude Code, Codex, OpenCode, Cursor, Copilot, and more.

  • Updated Oct 2, 2026
  • Shell

Fast-ASDLC: 5x TTM with AI-native Agentic SDLC. Local-LLM first, Human-in-the-loop, Spec-driven. Built on DDD, Hexagonal Architecture, C4 Model & MCP. Features Meta-agents for self-improvement, Memory Bank for context persistence, and automated 100% test coverage. Everything-as-Code & Mermaid.js centric to save context window and slash token costs.

  • Updated Jul 1, 2026

Team operating model for hybrid human+AI delivery: one shared, drift-checked contract for authority, risk tiers, evidence, review, and done — with cloud-expert guardrails (Google Cloud, AWS, Azure, Alibaba Cloud) and Google ADK/Antigravity skills built in, routing agent-craft work to companion skill plugins.

  • Updated Oct 2, 2026
  • Python

Regulated FSI Agentic SDLC Blueprint: 5 Agent Archetypes, Dual-Lane Antigravity (AGY) + Google ADK 2.0, Spanner Graph MCP & NIST OSCAL 1.1.2 SEPA Instant Modernization Demo #spark-build #spark-build-days #emea-asset

  • Updated Oct 1, 2026
  • Python

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