Bot Tiến Lên Miền Nam — Project Knowledge for Agents

To onboard an AI agent to an ADB automation bot project, use a consolidated project knowledge base that summarizes architecture, game loop control, and template matching pipelines so the agent can operate without rereading the entire repository.

The best way to debug template-based card detection is to reference a consolidated known-issues list that identifies current detection weaknesses and mode edge cases, allowing agents to prioritize fixes and avoid regressions.

Configure run and debug workflows for a Tiến Lên Miền Nam ADB bot by utilizing documented operational guidance for smoke flows, configuration files like .env and bot_config.json, and safety reset behaviors.

Yes, you can use hotkey-driven controls to manage game loop speed and pause states, with the bot project knowledge base documenting the specific hotkey bindings and state management architecture.

ADB bots experience detection regressions during game loop edge cases due to known template matching weaknesses and mode loop limitations, which are explicitly listed in the project knowledge hub to help agents avoid these failures.

Yes, the winTL bot project requires reading the SKILL.md YAML entrypoint as the discovery source of truth for architecture, run workflow, and pending issue context during implementation planning.