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Agent Mail Automation

agent-mail-automation

ComposioHQ/awesome-claude-skills

Automates Agent Mail via Composio's Rube MCP toolkit, guiding users to discover current tool schemas, verify connections, and execute workflows safely.

Parallel Agent Dispatch

dispatching-parallel-agents

sickn33/antigravity-awesome-skills

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.

Optimize Lindy AI Costs and Workflow Efficiency

lindy-cost-tuning

jeremylongshore/claude-code-plugins-plus-skills

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.

Optimizing AI Usage and Credit Management

lindy-rate-limits

jeremylongshore/claude-code-plugins-plus-skills

This guide provides comprehensive strategies for managing AI agent resource consumption and credit usage. It details optimizing task steps, setting trigger filters, implementing webhook rate limiting, and setting up budget alerts. Use this guide to ensure efficient, cost-effective AI operations and prevent unexpected billing overruns.

File-Based Agent Planning

planning-with-files

OthmanAdi/planning-with-files

Persistent file-based planning for multi-step AI-agent tasks, using task_plan.md, findings.md, and progress.md as on-disk working memory with recovery hooks and optional session catch-up.

Customer Support Agent

persona-customer-support

googleworkspace/cli

Customer Support Agent persona centralizes ticket tracking, email-to-task conversion, status logging, urgency escalation, and follow-up scheduling using Gmail, Sheets, Chat, and Calendar utilities.

Persistent File Planning

planning-with-files-es

OthmanAdi/planning-with-files

Planificación persistente basada en archivos para tareas multipaso de agentes de IA. Mantiene task_plan.md, findings.md y progress.md en disco; los hooks del ciclo de vida inyectan contexto seleccionado de planificación del proyecto. Diseñado para investigación o trabajo que requiera 5 o más llamadas a herramientas, con recuperación automática y opciones de gate.

File-Based Planning System

planning-with-files-de

OthmanAdi/planning-with-files

Provides persistent Markdown-based planning for multi-step AI agent work, keeping task_plan.md, findings.md, and progress.md on disk with lifecycle hooks and recovery.

Scheduled Task Management

agentscope-ai/QwenPaw

Manage scheduled or recurring tasks using qwenpaw cron commands. Supports listing, creating, updating, pausing, and deleting jobs. Specify execution times, schedules, and agent IDs explicitly. Ideal for daily reminders, periodic checks, or automated agent queries at specific intervals.

Automate Zendesk Operations with Rube MCP

zendesk-automation

sickn33/antigravity-awesome-skills

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.

Generate Step-by-Step Execution Plan

agentscope-ai/QwenPaw

This skill is designed for scenarios requiring complex, multi-step task decomposition. Instead of asking an Agent to perform the task directly, it guides the process of requesting a clear, actionable, sequential execution plan from a stronger Agent. The core function emphasizes that the user must execute the generated plan themselves, ensuring the output is a roadmap, not a final answer.

Personal Boycott List and Warning Filter

jeremylongshore/claude-code-plugins-plus-skills

Manage a personal boycott list conversationally. Users tell the agent which brands they want to avoid and provide specific reasons. The system syncs this data to a local server and powers a Chrome extension. This extension monitors visited pages and alerts the user with a prominent warning banner whenever they land on a site from a boycotted brand, displaying their own personal reason for the boycott.

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