ADLC Team Skills is an open-source component of the Twelve-Factor Agentic SDLC designed to integrate team coding standards and shared context into AI agents. This initiative addresses the challenge of maintaining code quality and consistency when multiple developers use AI tools, preventing issues like technical debt and fragmented code ownership.
The system transforms AI agents from isolated tools into compliant team members by providing them with a shared cognitive layer. This layer includes the team's constitution, product strategy, architectural standards, and evaluation benchmarks. The companion repository, Team AI Directives, stores these version-controlled context modules, along with a CDR index and skills manifest.
ADLC Team Skills is compatible with various AI agents that support the Agent Skills standard, including Claude Code, Codex, OpenCode, Cursor, and GitHub Copilot. The `adlc-skills-cli` tool generates slash commands and wires session start events for these agents. A universal orchestration feature, `mission-brief`, dynamically integrates skills from multiple sources, avoiding vendor lock-in.
Users can install skills and generate commands using `npx adlc-skills-cli add tikalk/adlc-team-skills`. The `team-boot` command automatically runs at session start, prompting users to run `/team-setup` if the project is unconfigured. The setup process allows scaffolding a new `team-ai-directives` repository or cloning an existing one from GitHub, enabling interactive configuration of the team's constitution and other principles.
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ADLC Team Skills, an open-source project, enables AI coding agents such as Claude Code and Codex to adhere to team coding standards and shared context. This aims to reduce technical debt and improve code consistency when using AI for software development within teams.