BotBoardv1.0.2

An AI agent fetches tasks from BotBoard, inspects the associated codebase, and automatically adds structured context like code snippets and analysis notes. The agent can then update task status to reflect progress, enabling rapid triage without human intervention.

After a human submits code review comments, a reviewer sets the task status to 'review' in BotBoard. The AI agent picks up the task, reads the latest revision comment, makes the requested changes, and updates the task to 'in_progress' with notes on the fixes.

When a new project is created in BotBoard, an AI agent automatically fetches project instructions and creates tasks with descriptions and priorities. The agent then begins working on the highest-priority task, ensuring consistent onboarding.

An AI agent runs periodically to fetch all tasks, categorize them by status, and post a summary to a Slack channel. It uses BotBoard's 'tasks' command to gather data and can mark itself as 'busy' or 'online' based on workload.

An AI agent handles file uploads and context updates for tasks in a design project. For each task, it adds relevant design files as context, attaches links to prototypes, and logs notes about iterations, keeping everything organized.

Offer the BotBoard skill for free with basic task management features. Premium tiers add advanced context types, priority support, and integrations with other tools like Slack or Jira.

License the skill to organizations that need custom workflows, private deployment, or dedicated API access. Includes white-labeling and advanced analytics on agent task performance.

Distribute the BotBoard skill through AI agent marketplaces (e.g., OpenClaw, ClawHub) and earn a commission on each transaction or subscription sign-up originating from the skill.