Skill UI

This skill provides a comprehensive, actionable overview of the Conductor project's status. It aggregates information from project plans, active tracks, and detailed specifications to display overall progress, identify next critical tasks, and flag potential blockers. Use it when you need a high-level dashboard view of project health and required actions.

This advanced system transforms session interactions into reusable, atomic knowledge units called "Instincts." By hooking into tool usage and session activity, it observes patterns (like preferred coding styles, error fixes, or repeated workflows). These instincts are then clustered and "evolved" into structured Skills, Commands, or specialized Agents, capturing deep contextual knowledge with weighted confidence scoring to enhance development productivity.

Automate Conveyor tasks through Composio's Rube MCP pipeline by discovering current tool schemas first, ensuring active connections, and executing schema-compliant workflows for reliable operations.

A comprehensive guide to utilizing a core, token-driven component library and design system patterns. It details best practices for managing UI styles—including spacing, color, and typography—by using semantic design tokens instead of hard-coded values. Ideal for building consistent, scalable, and maintainable user interfaces across different platforms.

Provides targeted guidance for improving LCP, INP, and CLS to boost page experience and search rankings, with checklists, issue breakdowns, and actionable fixes for rendering and interaction bottlenecks.

A comprehensive pattern for building robust and cost-efficient LLM application pipelines. This guide details combining model routing based on task complexity, immutable cost tracking, limited retry logic, and prompt caching to manage API expenditures while maintaining high quality. Essential for production systems handling variable-complexity, high-volume tasks.

Automates Countdown API workflows through Composio’s Countdown toolkit using Rube MCP, emphasizing tool discovery, connection checks, and schema-compliant execution for reliable integration.

Assists with coverage report analyzer tasks within test automation, offering best-practice guidance, code/config templates, step-by-step workflows, and validation to keep reports reliable.

Transforms detailed user requirements into secure, production-ready Ansible playbooks that automate server configuration, software deployments, and infrastructure workflows across multiple platforms for repeatable DevOps operations.

Builds robust and secure webhook receiver endpoints capable of handling events from external services (e.g., Stripe, GitHub). Key features include HMAC signature verification, idempotency checking, and asynchronous queue processing to prevent timeouts and ensure reliable event ingestion.

Applies empirically grounded cognitive science frameworks to help CS and AI researchers generate genuinely novel directions through bisociation, analogical reasoning, constraint shifts, and problem reformulation workflows.

Automate Crowdin tasks by discovering current tool schemas via Rube MCP before managing connections and executing workflows through Composio’s toolkit for reliable localization operations.