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Anthropic Admin Automation

anthropic-administrator-automation

ComposioHQ/awesome-claude-skills

Automates Anthropic Admin operations through Composio’s toolkit via Rube MCP, guiding discovery of current tool schemas, verifying connections, and executing schema-compliant workflows with session reuse and pagination awareness.

Anthropic Admin Automation

anthropic-administrator-automation

ComposioHQ/awesome-claude-skills

Automates Anthropic Admin operations through Composio’s toolkit via Rube MCP, guiding discovery of current tool schemas, verifying connections, and executing schema-compliant workflows with session reuse and pagination awareness.

API Labz Automation Guide

api-labz-automation

ComposioHQ/awesome-claude-skills

Automates API Labz operations through Composio’s toolkit using the Rube MCP pipeline, guiding you to search for current schemas, manage connections, and run discovery, check, execute, and bulk workflows safely.

Apipie AI Automation

apipie-ai-automation

ComposioHQ/awesome-claude-skills

Automates Apipie AI operations through Composio’s toolkit over the Rube MCP channel, guiding you to discover current tool schemas, verify toolkit connections, and execute schema-compliant workflows safely.

Astica AI Automation Guide

astica-ai-automation

ComposioHQ/awesome-claude-skills

Automate Astica AI workflows through Composio’s Rube MCP bridge by discovering tools with RUBE_SEARCH_TOOLS, managing Astica connections, and executing tasks via RUBE_MULTI_EXECUTE_TOOL while respecting dynamic schemas.

Async Interview Automation

async-interview-automation

ComposioHQ/awesome-claude-skills

Automates Async Interview workflows by orchestrating Composio tools through the Rube MCP gateway; always discover current schemas first, verify toolkit connections, then run executions with schema-compliant arguments and session-aware bookkeeping.

AudioCraft Music Generation

audiocraft-audio-generation

Orchestra-Research/AI-Research-SKILLs

AudioCraft is Meta’s PyTorch toolkit for text-to-music and text-to-sound creation via MusicGen, AudioGen and EnCodec, making it ideal for prototyping music apps, effects, and controllable stereo pieces.

AudioCraft Music Generation

audiocraft-audio-generation

Orchestra-Research/AI-Research-SKILLs

AudioCraft is Meta’s PyTorch toolkit for text-to-music and text-to-sound creation via MusicGen, AudioGen and EnCodec, making it ideal for prototyping music apps, effects, and controllable stereo pieces.

Autonomous AI Agent Workflow Platform

Orchestra-Research/AI-Research-SKILLs

A comprehensive platform designed for building, deploying, and managing continuous, autonomous AI agents. Users can create complex, multi-step automation workflows using a visual, drag-and-drop node editor, or extend functionality using a dedicated developer toolkit. Ideal for implementing persistent agents triggered by webhooks, schedules, or manual input, enabling sophisticated, end-to-end AI automation pipelines.

Autonomous AI Agent Workflow Platform

Orchestra-Research/AI-Research-SKILLs

A comprehensive platform designed for building, deploying, and managing continuous, autonomous AI agents. Users can create complex, multi-step automation workflows using a visual, drag-and-drop node editor, or extend functionality using a dedicated developer toolkit. Ideal for implementing persistent agents triggered by webhooks, schedules, or manual input, enabling sophisticated, end-to-end AI automation pipelines.

Autonomous Agent Design Patterns

autonomous-agent-patterns

sickn33/antigravity-awesome-skills

A comprehensive guide and implementation patterns for constructing sophisticated autonomous AI agents. It details the core 'Observe-Think-Decide-Act' agent loop, multi-model orchestration strategies, and robust tool design principles (like file I/O and function calling). Ideal for building complex, highly capable agents that require advanced planning, reasoning, and external tool interaction.

Autonomous Agent Design Patterns

autonomous-agent-patterns

sickn33/antigravity-awesome-skills

A comprehensive guide and implementation patterns for constructing sophisticated autonomous AI agents. It details the core 'Observe-Think-Decide-Act' agent loop, multi-model orchestration strategies, and robust tool design principles (like file I/O and function calling). Ideal for building complex, highly capable agents that require advanced planning, reasoning, and external tool interaction.

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