Agent skills that bring team coding standards to Claude Code and Codex
The ADLC Team Skills project aims to standardize AI agent behavior in engineering teams to prevent 'vibe coding' and technical debt. It provides a shared cognitive layer that ensures AI agents follow team-specific architectural standards and constitutions.
Why it matters
As AI coding agents become more prevalent, maintaining code quality and team alignment is becoming a critical challenge for software engineering organizations.
Stop Vibe Coding in Silos. Build a Shared Cognitive Layer for Your Engineering Team.
Individual prompt hacks create quick wins for solo developers, but when scaled across a team, "vibe coding" leads to chaotic technical debt, context rot, unreviewable PRs, and lost code ownership. Speed is solved; Trust and Verification is the new bottleneck in AI engineering.
ADLC Team Skills ( tikalk/adlc-team-skills ) is the open-source Team Layer of the Twelve-Factor Agentic SDLC . It turns AI agents from isolated guessers into compliant, accountable team members that share your team's constitution, product strategy, architectural standards, and evaluation benchmarks.
Team AI Directives ( tikalk/agentic-sdlc-team-ai-directives ) is the companion repository that holds your team's version-controlled context modules (constitution, rules, personas, examples), CDR index, and skills manifest.
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