stannp-automation
by ComposioHQstannp-automation helps agents automate Stannp workflows through Composio Rube MCP by discovering current tools, checking the active Stannp connection, and using live schemas before execution.
This skill scores 66/100, which means it is acceptable for listing but should be presented as a limited, connector-oriented automation skill rather than a fully worked Stannp playbook. Directory users who already use Rube MCP and need Stannp access can benefit from its trigger and setup guidance, but they should expect to rely on live tool discovery for the actual operation details.
- Clear trigger and scope: it identifies Stannp automation through Composio's Rube MCP and requires agents to search tools first for current schemas.
- Provides usable prerequisites and setup flow, including RUBE_SEARCH_TOOLS, RUBE_MANAGE_CONNECTIONS, toolkit name `stannp`, and ACTIVE connection confirmation.
- Encourages current-schema discovery before execution, which reduces stale-tool risk for MCP-based Stannp workflows.
- The skill is mostly a Rube MCP/tool-discovery wrapper; it does not include dedicated scripts, reference files, or static Stannp operation schemas.
- Install/adoption details are incomplete for directory users: there is no install command in SKILL.md, and execution depends on having Rube MCP plus an active Stannp connection.
Overview of stannp-automation skill
What stannp-automation is for
stannp-automation is a Claude skill for automating Stannp workflows through Composio’s Rube MCP server. It is designed for agents that need to discover current Stannp tool schemas, verify an authenticated Stannp connection, and then execute direct-mail or account operations with less guesswork than a generic prompt.
The key instruction is simple but important: always search Rube tools first. Stannp tool names, fields, and supported actions may change, so the skill prioritizes live tool discovery over hard-coded assumptions.
Best-fit users and workflows
This stannp-automation skill is best for users who already work with Stannp and want an AI agent to help run operational tasks through MCP, such as preparing a campaign action, checking available Stannp operations, or coordinating a workflow that depends on an active Stannp connection.
It fits teams using Claude or another MCP-capable client with Composio Rube enabled. It is less useful if you only need marketing copy, campaign strategy, or a one-off explanation of how Stannp works without actually calling tools.
What makes it different from a normal prompt
A normal prompt can describe a Stannp task, but it cannot reliably know the current Composio tool schema. stannp-automation adds an execution pattern: connect Rube MCP, search available Stannp tools, check the stannp connection, then run the selected tool using the returned schema.
That makes the skill most valuable when accuracy depends on current tool availability, required fields, and authentication state.
How to Use stannp-automation skill
stannp-automation install context
Install the skill from the Composio skills repository with:
npx skills add ComposioHQ/awesome-claude-skills --skill stannp-automation
The upstream skill itself does not include helper scripts or extra reference folders; the main file to inspect is:
composio-skills/stannp-automation/SKILL.md
Before expecting successful execution, add Rube MCP to your client configuration using:
https://rube.app/mcp
Then confirm that RUBE_SEARCH_TOOLS is available. You also need an active Stannp connection through RUBE_MANAGE_CONNECTIONS with toolkit stannp.
Inputs the skill needs before acting
A good stannp-automation usage prompt should include the business goal, the Stannp object or operation you expect, any known identifiers, and constraints such as whether the agent may create, update, send, or only inspect data.
Weak prompt:
“Use Stannp to send this.”
Stronger prompt:
“Use stannp-automation for Workflow Automation. First discover current Stannp tools through Rube. Check that the stannp connection is ACTIVE. I want to create or prepare a postcard campaign, but do not send it until I approve. Use this recipient list source, this campaign name, and report the required fields before execution.”
This gives the agent enough context to choose the right Rube search query, avoid premature sending, and ask for missing required fields instead of guessing.
Recommended execution workflow
A practical stannp-automation guide should follow this order:
- Call
RUBE_SEARCH_TOOLSwith the specific Stannp task, not a broad query. - Review returned tool slugs, schemas, required fields, execution plan, and pitfalls.
- Call
RUBE_MANAGE_CONNECTIONSfor toolkitstannp. - If the connection is not
ACTIVE, complete the returned authorization flow. - Build the tool call from the live schema.
- For irreversible actions, ask for confirmation before execution.
The most common adoption blocker is skipping discovery and trying to call a remembered tool shape. The skill is intentionally written to prevent that failure.
Repository-reading path before first run
Start with SKILL.md; there are no additional scripts, metadata files, rules folders, or reference assets in the current skill folder. Pay special attention to the “Prerequisites,” “Setup,” “Tool Discovery,” and “Core Workflow Pattern” sections.
Because the skill depends on Rube MCP rather than local code, your install decision should focus less on repository complexity and more on whether your client supports MCP, whether Rube is reachable, and whether your Stannp account can be connected through Composio.
stannp-automation skill FAQ
Is stannp-automation beginner-friendly?
It is beginner-friendly for MCP users, but not for users unfamiliar with tool-calling workflows. You do not need to write code, but you do need to understand that the agent must discover tools, check connection status, and use returned schemas before running a Stannp operation.
If you expect a plug-and-play chat prompt with no setup, this skill may feel too operational.
Can I use it without a Stannp connection?
No. The skill requires an active Stannp connection through RUBE_MANAGE_CONNECTIONS using toolkit stannp. If the connection is missing or inactive, the agent should follow the returned auth link and stop short of running the workflow until the status is active.
When should I not use this skill?
Do not use stannp-automation when you only need copywriting, design ideas, campaign segmentation advice, or a static tutorial. It is meant for automation through live Rube MCP tools.
Also avoid using it for high-risk send actions unless your prompt clearly requires preview, validation, and approval before final execution.
How is it useful for workflow automation?
stannp-automation for Workflow Automation is useful because it gives the agent a repeatable operating sequence: discover tools, verify auth, execute with current schemas, and handle missing fields. That is more dependable than asking an AI model to infer Stannp API behavior from memory.
How to Improve stannp-automation skill
Improve stannp-automation results with better task framing
The fastest way to improve stannp-automation output is to describe the intended Stannp action in operational terms. Include:
- desired outcome
- whether execution is allowed or approval is required
- known campaign, contact, template, or recipient details
- missing information the agent should ask for
- safety constraints, especially for sending or publishing actions
For example: “Find the current tool for creating a campaign, list required fields, prepare the call, but do not execute until I confirm” is much safer than “create a campaign.”
Common failure modes to prevent
The main failure modes are predictable: skipping RUBE_SEARCH_TOOLS, assuming stale tool names, running before the Stannp connection is active, or treating destructive/send actions as routine updates.
To prevent these, tell the agent to show the selected tool slug, required fields, and planned action before execution. For sensitive operations, require a confirmation checkpoint after schema discovery and before the final call.
How to iterate after the first output
After the first tool discovery result, refine the workflow based on the returned schema instead of rewriting the whole prompt. If required fields are missing, provide only those values. If multiple tools match, ask the agent to compare them by purpose, required inputs, and risk.
A strong iteration prompt is:
“Using the discovered Stannp tools, choose the safest tool for preparing this campaign without sending. Show missing required fields and wait for my approval before any execution.”
What would make the skill stronger
The current skill is concise and operational, but it would be stronger with example prompts for common Stannp tasks, explicit confirmation rules for send actions, and sample handling for inactive connections. A small troubleshooting section for MCP availability, auth failures, and schema mismatch errors would also reduce first-run friction.