$ ~/registry/skill/composiohq-composio-skills-parallel-automation

SKILL

parallel-automation

Name: parallel-automation
Author: Composio

Run parallel automated workflows across tools with Rube MCP for faster execution

Stars

★ 67,763

Source

GitHub

Updated

2026-07-15

// securityCaution

Prompt only, no code
Open source
Community-trusted· 64.7k

Summary

Overall this appears to be a prompt-only open-source skill with no declared secrets and no self-hosted remote endpoint, so baseline risk is low. The main caution is that it uses Rube MCP to reach external tools, but no concrete red flags are shown in the materials.

CredentialsLow risk

No credentials or tokens are required, and the material explicitly says no API keys are needed; no sensitive credential exposure or abuse path is evident.

Network egressCaution

The skill itself declares no own remote endpoint, but it does connect via Rube MCP to external services/tools it describes; this is routine egress with no evidence of exfiltration to unknown endpoints.

Code executionCaution

The material describes automation via MCP tool calls, with no sign of arbitrary local code execution or system permissions beyond the tool's scope.

Data accessCaution

Observed data access is limited to the selected Parallel tools and workflow parameters, suggesting on-demand access rather than broad local file/system access; no over-privilege evidence is shown.

Supply chainCaution

The source is GitHub with strong community adoption and open-source availability, which are positive signals; however, the license is undeclared and maintenance status is unknown, so normal supply-chain caution still applies.

Recommendations

Verify the Rube MCP connection target and authorization scope before first use.
Only invoke tools when needed and avoid passing unnecessary data.
Re-check dynamically discovered tool schemas; do not hardcode assumptions.
If sensitive business data is involved, validate first in a low-privilege or test environment.

Audited by: gpt-5.4 · 2026-06-17

// install

Copy the install command and let the AI configure it · recommended for beginners

Please install the "parallel-automation" skill from askskill:
1. Download https://raw.githubusercontent.com/ComposioHQ/awesome-claude-skills/master/composio-skills/parallel-automation/SKILL.md
2. Save it as ~/.claude/skills/parallel-automation/SKILL.md
3. Reload skills and tell me it's ready

// download

Download SKILL.mdInstall manifest ↗

// docs

Parallel Automation via Rube MCP

Automate Parallel operations through Composio's Parallel toolkit via Rube MCP.

Toolkit docs: composio.dev/toolkits/parallel

Prerequisites

Rube MCP must be connected (RUBE_SEARCH_TOOLS available)
Active Parallel connection via RUBE_MANAGE_CONNECTIONS with toolkit parallel
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.

Verify Rube MCP is available by confirming RUBE_SEARCH_TOOLS responds
Call RUBE_MANAGE_CONNECTIONS with toolkit parallel
If connection is not ACTIVE, follow the returned auth link to complete setup
Confirm connection status shows ACTIVE before running any workflows

Tool Discovery

Always discover available tools before executing workflows:

RUBE_SEARCH_TOOLS
queries: [{use_case: "Parallel 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 Parallel task"}]
session: {id: "existing_session_id"}

Step 2: Check Connection

RUBE_MANAGE_CONNECTIONS
toolkits: ["parallel"]
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 Parallel-specific use case
Connect	`RUBE_MANAGE_CONNECTIONS` with toolkit `parallel`
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`

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