BPS AI
Official@bpsai · United States of America
Offers standardized software development lifecycle management, architectural planning, and quality assurance processes for engineering teams.
Agent Skills by BPS AI
Showing 7 vetted skills indexed across 1 GitHub repositories.
creating-skills
Create reusable SKILL.md definitions with standardized frontmatter and documentation.
managing-task-lifecycle
Update task states across local files and Trello cards via CLI commands.
reviewing-code
Automate code review of pull requests with structured feedback sections.
designing-and-implementing
Design software features and architectures with plans and tasks before coding.
finishing-branches
Run pre-merge checks, scan for secrets, and prepare pull requests on feature branches.
planning-with-trello
Translate planning concepts into Trello cards and lists with standardized formats.
implementing-with-tdd
Automate TDD bug fixes and features with pytest red-green-refactor workflows.
Frequently Asked Questions About BPS AI
FAQPage SchemaWhat specific engineering tasks does BPS AI enable?▼
BPS AI enables structured software design, Trello-based project management, and rigorous code quality enforcement. It facilitates the creation of standardized documentation, manages task states across local environments and boards, performs pre-merge security scanning, and executes test-driven development cycles to ensure code reliability before integration.
Which technical personas benefit from these capabilities?▼
Software engineers, technical leads, and project managers benefit from these capabilities. The system is designed for teams requiring standardized documentation, consistent pull request feedback, and integrated planning processes that bridge the gap between architectural design and functional code implementation.
What are the prerequisites for implementing these processes?▼
Implementation requires a Trello account for task tracking and a local environment configured for test-driven development. Users must adopt the standardized frontmatter and documentation formats defined by the system to ensure compatibility across the task lifecycle and pull request review processes.