Skill UI

Dispatch parallel agents to tackle independent failures concurrently so each investigator stays focused on one domain; review their summaries, check for conflicts, and run the full suite to integrate fixes faster than sequential debugging.

This guide provides a comprehensive strategy for managing and reducing expenses within the Lindy AI platform. Learn how to audit agent credit consumption, right-size models by using less expensive versions for simple tasks, consolidate redundant agents, and optimize trigger frequency. Implementing these steps ensures cost efficiency and sustainable operation of your AI workflows.

Dispatching parallel agents lets you split independent investigations into focused prompts, coordinate isolated fixes concurrently, and review summaries for integration once each agent finishes.

Manage Lark tasks, tasklists, and task agents. Supports creating/updating tasks, assigning members, adding subtasks, uploading attachments, and tracking progress.

Use the OpenViking CLI to search memories, skills, and resources with semantic and literal queries across directories, surfacing context-aware results whenever agents need stored knowledge or documentation.

An agent skill simulating high-pressure big-tech corporate culture. It enforces strict owner consciousness, end-to-end validation, and role-based behaviors (P7-P10) using escalating PUA feedback to drive developers or sub-agents to deliver high-quality results.

Generates structured handoff documents capturing current status, next steps, decisions, blockers, and context so team members or agents can smoothly pick up planned or emergency transfers.

A comprehensive automation toolkit for managing Zendesk operations via Rube MCP. It provides workflows to list, search, create, update, and delete support tickets, manage user accounts (agents and end-users), and handle organization details. Ideal for integrating support workflows and automating customer service processes.

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.

This skill acts as a central router, helping users determine the correct specialized skill or workflow to tackle development challenges. It guides the entire software development lifecycle, from initial idea refinement (Idea -> Ship) and prototype testing, to managing complex multi-session builds and handling incoming bugs via triage. It is essential for navigating the vast ecosystem of AI coding agents.

WorkorAI is a comprehensive talent marketplace skill designed for agents. It supports candidates in searching jobs, managing applications, and tracking job status. For employers, it manages the entire job lifecycle and provides advanced candidate discovery, ranking candidates with detailed "white-box" match explanations (fit score, proven skills, gaps) instead of simple black-box scores. It facilitates the entire hiring workflow.