ADLC Team Skills offers an open-source solution to move AI engineering teams beyond "vibe coding" and siloed development. It establishes a shared cognitive layer, turning individual AI agents into accountable team members aligned with team strategy, architectural standards, and evaluation benchmarks.

This system, part of the Twelve-Factor Agentic SDLC, is facilitated by the `tikalk/adlc-team-skills` repository and its companion, `tikalk/agentic-sdlc-team-ai-directives`. The latter houses version-controlled context modules like team constitutions and rules. The CLI tool `adlc-skills-cli` simplifies installation, generates slash commands, and wires session start events for compatibility with agents like Claude Code and GitHub Copilot.

ADLC Team Skills emphasizes a "contract-first" approach, moving from conversational AI to a formal specification model. This ensures that when an agent makes a mistake, the underlying specification is updated to prevent recurrence, promoting a "debug the spec, not the code" philosophy. The system supports progressive disclosure, injecting only relevant information to avoid prompt bloat and token waste.