Skill UI

This skill provides best practices for managing API rate limits when interacting with the Hootsuite platform. It demonstrates implementing robust retry logic, incorporating exponential backoff using the `Retry-After` header, and using queue-based scheduling to ensure stable, high-throughput API calls while respecting platform constraints.

A comprehensive guide to implementing Hootsuite integrations using industry best practices. This reference covers the recommended architecture, project structure, and key development decisions (such as OAuth flow, rate limit handling, and content scheduling) necessary for building robust, scalable, and maintainable social media automation tools.

This guide provides production-ready, structured code patterns for integrating with the Hootsuite REST API using TypeScript and Python. It includes type-safe API clients, timezone-aware scheduling helpers, and cross-platform content formatting utilities. Ideal for building robust, scalable social media management systems or refactoring existing SDK usage.

A comprehensive skill for managing the entire lifecycle of Volcano Jobs within the KubeSphere environment. It supports the scheduling and execution of complex batch workloads, including deep learning tasks using PyTorch and TensorFlow, MPI, and general resource-intensive jobs. Provides detailed API usage and troubleshooting guidance for job scheduling and resource conflicts.

This document provides a comprehensive, production-grade reference architecture for integrating with the SalesLoft API. It details the best practices for building robust systems, including structured API clients with rate-limit handling, dedicated service layers for business logic (e.g., People Sync), reliable webhook processing, and background job scheduling. Use this guide when designing scalable, resilient, and maintainable integrations with external SaaS platforms.

This API module provides comprehensive tools and abstractions for managing scheduled actions within the webiny ecosystem. It covers the entire lifecycle of asynchronous tasks, including scheduling actions for future execution, retrieving details, listing existing tasks, executing them immediately, and canceling them. Key components include dedicated Use Cases and a core SchedulerService, enabling robust background processing and reliable task management for enterprise applications.

A comprehensive guide and expert assistant for developing, scheduling, and optimizing engaging social media content across platforms like LinkedIn, TikTok, Instagram, and X. It covers pre-content planning (goals, audience, brand voice), structured content pillars, effective hook formulas, and advanced content repurposing systems (e.g., turning a blog post into a LinkedIn carousel thread). Also assists with social listening and engagement triage to maximize brand impact.

This is a comprehensive lookup reference for the Mercury MCP server tools. It guides AI agents on how to interact with a virtual team workspace, enabling structured communication for messaging teammates, managing threads and tasks, scheduling complex automations, and performing administrative graph edits. Use this when your agent needs to execute specific team workflows.

SocialClaw is a powerful, agent-first skill designed for comprehensive social media automation. It allows users to schedule and publish content across 13 major platforms (including X, LinkedIn, Instagram, TikTok, and more) using a single workspace API key. Streamline your marketing campaigns by managing content creation, media uploads, scheduling validation, and performance analytics from one central workflow.

This tool diagnoses and validates complex cron expressions (e.g., crontab, Kubernetes CronJob) to prevent silent scheduling failures. It identifies five common pitfalls: impossible dates, misunderstood OR semantics, resource spikes, uneven step drift, and leap year issues. Users can check the syntax, understand the true meaning, and calculate future execution times reliably.

Provides comprehensive guidance on scheduling AI agent runs, covering external systems like cron and systemd, and built-in schedulers (e.g., Hermes). It details best practices for setting up recurring jobs, implementing heartbeat patterns, and avoiding common pitfalls like tight timers or state loss, ensuring reliable, scheduled automation.

This utility executes an autonomous, iterative loop, simulating a comprehensive agent workflow. It systematically manages tasks by checking current status, predicting the optimal next action using specialized tools, executing the required task (e.g., coding, testing), logging the progress, and scheduling the next iteration. It supports task discovery from multiple sources, including team tasks, swarm tasks, and file checklists, ensuring continuous, automated progress towards a defined goal.