sendspark-automation
Automate Sendspark tasks via Rube MCP (Composio). Always search tools first for current schemas.
Best use case
sendspark-automation is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Automate Sendspark tasks via Rube MCP (Composio). Always search tools first for current schemas.
Teams using sendspark-automation should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/sendspark-automation/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How sendspark-automation Compares
| Feature / Agent | sendspark-automation | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Automate Sendspark tasks via Rube MCP (Composio). Always search tools first for current schemas.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Sendspark Automation via Rube MCP
Automate Sendspark operations through Composio's Sendspark toolkit via Rube MCP.
**Toolkit docs**: [composio.dev/toolkits/sendspark](https://composio.dev/toolkits/sendspark)
## Prerequisites
- Rube MCP must be connected (RUBE_SEARCH_TOOLS available)
- Active Sendspark connection via `RUBE_MANAGE_CONNECTIONS` with toolkit `sendspark`
- Always call `RUBE_SEARCH_TOOLS` first to get current tool schemas
## Setup
**Get Rube MCP**: Add `https://rube.app/mcp` as an MCP server in your client configuration. No API keys needed — just add the endpoint and it works.
1. Verify Rube MCP is available by confirming `RUBE_SEARCH_TOOLS` responds
2. Call `RUBE_MANAGE_CONNECTIONS` with toolkit `sendspark`
3. If connection is not ACTIVE, follow the returned auth link to complete setup
4. Confirm connection status shows ACTIVE before running any workflows
## Tool Discovery
Always discover available tools before executing workflows:
```
RUBE_SEARCH_TOOLS
queries: [{use_case: "Sendspark operations", known_fields: ""}]
session: {generate_id: true}
```
This returns available tool slugs, input schemas, recommended execution plans, and known pitfalls.
## Core Workflow Pattern
### Step 1: Discover Available Tools
```
RUBE_SEARCH_TOOLS
queries: [{use_case: "your specific Sendspark task"}]
session: {id: "existing_session_id"}
```
### Step 2: Check Connection
```
RUBE_MANAGE_CONNECTIONS
toolkits: ["sendspark"]
session_id: "your_session_id"
```
### Step 3: Execute Tools
```
RUBE_MULTI_EXECUTE_TOOL
tools: [{
tool_slug: "TOOL_SLUG_FROM_SEARCH",
arguments: {/* schema-compliant args from search results */}
}]
memory: {}
session_id: "your_session_id"
```
## Known Pitfalls
- **Always search first**: Tool schemas change. Never hardcode tool slugs or arguments without calling `RUBE_SEARCH_TOOLS`
- **Check connection**: Verify `RUBE_MANAGE_CONNECTIONS` shows ACTIVE status before executing tools
- **Schema compliance**: Use exact field names and types from the search results
- **Memory parameter**: Always include `memory` in `RUBE_MULTI_EXECUTE_TOOL` calls, even if empty (`{}`)
- **Session reuse**: Reuse session IDs within a workflow. Generate new ones for new workflows
- **Pagination**: Check responses for pagination tokens and continue fetching until complete
## Quick Reference
| Operation | Approach |
|-----------|----------|
| Find tools | `RUBE_SEARCH_TOOLS` with Sendspark-specific use case |
| Connect | `RUBE_MANAGE_CONNECTIONS` with toolkit `sendspark` |
| Execute | `RUBE_MULTI_EXECUTE_TOOL` with discovered tool slugs |
| Bulk ops | `RUBE_REMOTE_WORKBENCH` with `run_composio_tool()` |
| Full schema | `RUBE_GET_TOOL_SCHEMAS` for tools with `schemaRef` |
---
*Powered by [Composio](https://composio.dev)*Related Skills
ai-automation-workflows
Build automated AI workflows combining multiple models and services. Patterns: batch processing, scheduled tasks, event-driven pipelines, agent loops. Tools: inference.sh CLI, bash scripting, Python SDK, webhook integration. Use for: content automation, data processing, monitoring, scheduled generation. Triggers: ai automation, workflow automation, batch processing, ai pipeline, automated content, scheduled ai, ai cron, ai batch job, automated generation, ai workflow, content at scale, automation script, ai orchestration
twitter-automation
Automate Twitter/X with posting, engagement, and user management via inference.sh CLI. Apps: x/post-tweet, x/post-create (with media), x/post-like, x/post-retweet, x/dm-send, x/user-follow. Capabilities: post tweets, schedule content, like posts, retweet, send DMs, follow users, get profiles. Use for: social media automation, content scheduling, engagement bots, audience growth, X API. Triggers: twitter api, x api, tweet automation, post to twitter, twitter bot, social media automation, x automation, tweet scheduler, twitter integration, post tweet, twitter post, x post, send tweet
browser-automation
Enterprise-grade browser automation using WebDriver protocol. Use when the user needs to automate web browsers, perform web scraping, test web applications, fill forms, take screenshots, monitor performance, or execute multi-step browser workflows. Supports Chrome, Firefox, and Edge with connection pooling and health management.
when-automating-github-actions-use-workflow-automation
Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management. Coordinates cicd-engineer, workflow-automation, tester, and security-auditor agents through mesh topology to create, optimize, and maintain GitHub Actions workflows. Handles workflow generation, performance optimization, security hardening, matrix testing strategies, and workflow debugging. Use when building CI/CD pipelines, optimizing existing workflows, or establishing automation standards.
i18n-automation
Automate internationalization and localization workflows for web applications with translation, key generation, and library setup
hooks-automation
Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre/post task hooks, session management, Git integration, memory coordination, and neural pattern training for enhanced development workflows.
github-workflow-automation
Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management
playwright-browser-automation
Complete browser automation with Playwright. Auto-detects dev servers, writes clean test scripts to /tmp. Test pages, fill forms, take screenshots, check responsive design, validate UX, test login flows, check links, automate any browser task. Use when user wants to test websites, automate browser interactions, validate web functionality, or perform any browser-based testing.
mac-automation
This skill should be used when the user requests Mac automation via AppleScript, including: Mail operations, Reminders/Calendar management, Safari control, Finder operations, system controls (volume, brightness, notifications, app launching), third-party apps (development tools, task management, media players), or mentions "AppleScript" or "automate Mac".
browser-task-and-automation-and-delegation
【强制】所有浏览器操作必须使用本技能，禁止在主对话中直接使用 mcp__chrome-devtools 工具。触发关键词：打开/访问/浏览网页、点击/填写/提交表单、截图/快照、性能分析、自动化测试、数据采集/爬取、网络模拟。本技能通过 chrome-devtools-expert agent 执行浏览器操作，避免大量页面快照、截图、网络请求数据污染主对话上下文。
Warp — Modern Terminal & Workflow Automation
## Overview
Stagehand — AI Browser Automation in Natural Language
You are an expert in Stagehand by BrowserBase, the AI-powered browser automation framework that lets you control web pages using natural language instructions. You help developers build web automations that act, extract data, and observe pages using plain English commands instead of brittle CSS selectors — powered by GPT-4o or Claude for visual understanding of page layouts.