Skill UI

Coordinates a pre-task intelligence protocol that activates all relevant agents, synthesizes parallel analyses, estimates real execution time, maps probable risks, and produces a contingency-aware plan before executing the user’s request.

This skill acts as an alias for the canonical TDD workflow cycle. It assists developers in implementing Test-Driven Development methodologies by structuring testing cycles and ensuring quality assurance. Use it when working on software development tasks requiring a test-first approach. It redirects to the full TDD cycle implementation for detailed guidance on writing tests before code.

This skill provides comprehensive, programmatic automation capabilities for the Telegram platform via Rube MCP. Users can manage virtually every aspect of Telegram interaction, including sending various media types (text, photos, documents), retrieving detailed chat information, listing members, editing and deleting messages, and setting custom bot commands. It is essential for building sophisticated, automated bot workflows and integrations.

Send messages, files, and alerts via Telegram bot API. Supports inline button questions for approvals and CI/cron notifications. Ideal for workflow automation, long-running task updates, and interactive approval gates without complex installation.

This skill provides a systematic, multi-step approach to identify and resolve all failing unit tests within a codebase. It guides the user through smart error grouping (e.g., grouping by ImportError or AttributeError), prioritizing fixes from infrastructure to business logic, and ensuring thorough verification to prevent regressions. Ideal for use after major refactoring, debugging CI/CD failures, or when explicitly tasked with making the test suite pass.

This advanced protocol forces the AI to conduct a thorough context audit before attempting any complex task. It mandates reading every relevant file, identifying architectural gaps, and providing a detailed orientation statement. It is essential for multi-file modifications, system design, and debugging to prevent acting on assumptions and maintain high code accuracy. The AI cannot proceed until all unknown variables are resolved.

Creates, assigns, and updates tasks in an AI team run to ensure each task has one owner and one deliverable. Use when user requests to break down, assign, claim, block, or complete tasks. Changes recorded task state only.

Plan and create a bounded RuFlo AI team from a reviewed goal, including roles, tasks, budget, and risks, without external side effects or arbitrary commands.

This skill monitors the progress, blockers, and task ownership of an AI team. It summarizes completed, active, and blocked work while distinguishing assertions from verified evidence. It surfaces decisions for the user and ensures budget reporting accuracy without claiming unverified execution.

Manages tasks on a kanban board stored in OpenViking, one markdown file per task. Each file acts as a self-contained handoff with goal, context, decisions and progress, so any agent can claim, resume or run unattended task loops via the ov CLI.

This skill enables reviewing AI team results against acceptance criteria using an evidence bundle. It involves retrieving task artifacts, separating verified facts from assertions, and identifying missing work. It ensures completion recommendations are made only when all criteria are met with evidence, while reporting budget accurately without billing implications.

Routes Three.js graphics tasks to the smallest expert skill set, covering cameras, materials, geometry, atmosphere, shadows, temporal effects, and final image treatment.