seqera-automation

Overview of seqera-automation skill

What seqera-automation is for

seqera-automation is a Claude skill for automating Seqera operations through Composio’s Rube MCP server. It is designed for users who want an AI agent to work with the Seqera toolkit safely by discovering current tool schemas first, checking connection status, and then executing the requested Seqera workflow through MCP tools rather than guessing API shapes.

The main job-to-be-done is not “write about Seqera”; it is to help an agent operate Seqera-connected actions with less schema drift and fewer failed calls.

Best-fit users and workflows

This skill fits teams using Seqera or Seqera Platform for workflow automation, especially when they want an assistant to help with operational tasks through Composio’s Seqera toolkit. It is most useful when you already have a Seqera account and want the model to follow a tool-first process: discover available Seqera tools, confirm authentication, prepare valid parameters, execute, and inspect results.

Typical uses include prompting an agent to help manage Seqera resources, inspect available actions, or perform repeatable Seqera operations once the Rube MCP connection is active.

Key differentiator: search tools before acting

The strongest feature of the seqera-automation skill is its explicit instruction to call RUBE_SEARCH_TOOLS before running any Seqera operation. That matters because MCP tool schemas can change, and generic prompts often fail by inventing stale parameter names or unsupported actions.

Instead of relying on memory, the skill pushes the agent to retrieve current tool slugs, input schemas, execution plans, and pitfalls before calling the relevant Seqera tool.

Adoption requirements and limits

This is not a standalone command-line automation package. It requires an MCP-capable client with Rube MCP configured and an active Seqera connection through Composio. If your environment cannot use MCP tools, or you only need static documentation, a normal prompt may be enough.

The upstream skill is compact and contains only SKILL.md; there are no bundled scripts, examples, rules folders, or reference files. Its value is in the workflow discipline, not in a large automation library.

How to Use seqera-automation skill

seqera-automation install context

To install from the skill directory, use:

npx skills add ComposioHQ/awesome-claude-skills --skill seqera-automation

Then configure Rube MCP in your AI client by adding:

https://rube.app/mcp

The source skill states that no API keys are needed for the MCP server itself, but you still need an active Seqera connection. In the connected client, confirm that RUBE_SEARCH_TOOLS is available before expecting the seqera-automation skill to work.

Connection setup before first use

Before running a Seqera task, ask the agent to verify the connection instead of assuming it is ready. The expected setup path is:

1. Confirm RUBE_SEARCH_TOOLS responds.
2. Call RUBE_MANAGE_CONNECTIONS with toolkit seqera.
3. If the connection is not ACTIVE, follow the returned authentication link.
4. Re-check status before executing any Seqera workflow.

This matters because many automation failures are authentication failures disguised as bad prompts.

Prompt inputs that produce better results

A weak prompt is:

“Use Seqera to automate this.”

A stronger seqera-automation usage prompt is:

“Use the seqera-automation skill. First call RUBE_SEARCH_TOOLS for the specific Seqera task: list available actions for managing my Seqera workflows. Check the seqera connection status with RUBE_MANAGE_CONNECTIONS. If active, choose the correct tool from the discovered schema, explain the required parameters before execution, and ask me for any missing workspace, organization, pipeline, or run identifiers.”

Good inputs include the exact Seqera task, known IDs or names, workspace context, whether the action should be read-only or mutating, and what confirmation you want before changes are made.

Files to read first in the repository

Start with composio-skills/seqera-automation/SKILL.md. It contains the full operational contract: prerequisites, setup, tool discovery, core workflow pattern, and the requirement to use current schemas.

Because the repository path has no supporting README.md, scripts, references, or examples, do not look for hidden implementation logic. The skill is essentially a procedural wrapper around Rube MCP and the Composio Seqera toolkit.

seqera-automation skill FAQ

Is seqera-automation a Seqera API client?

No. The seqera-automation skill is not a traditional SDK or CLI. It guides an AI agent to use Seqera-related tools exposed through Rube MCP by Composio. The agent must discover tools dynamically and then call the MCP tools available in your client.

When is this better than an ordinary prompt?

It is better when correctness depends on current tool schemas, authentication state, and structured execution. A generic prompt may invent a Seqera endpoint or parameter. This skill tells the agent to search available tools first, use the returned schemas, and verify the seqera connection before acting.

Is it suitable for beginners?

Yes, if the beginner already has an MCP-capable AI client and can complete the Seqera connection flow. It is less suitable for someone who has never used MCP, Composio, or Seqera, because the skill assumes tool-calling infrastructure is already available.

When should I not use this skill?

Do not use it if you need offline guidance only, direct Nextflow script authoring, or a fully scripted CI/CD automation package. Also avoid it for destructive Seqera changes unless your prompt requires confirmation before execution and the agent clearly shows the discovered tool schema and parameters.

How to Improve seqera-automation skill

Improve seqera-automation results with task-specific discovery

The most important improvement is to make the search query specific. Instead of “Seqera operations,” ask for the exact job: “find tools to inspect workflow runs,” “find tools to manage Seqera connections,” or “find tools to retrieve workspace resources.” Specific discovery helps RUBE_SEARCH_TOOLS return more relevant tool slugs and schemas.

Add guardrails for mutating actions

For safer seqera-automation usage, include explicit execution rules in your prompt:

• “Do not create, update, delete, or launch anything without asking.”
• “Show the selected tool slug and required parameters first.”
• “If an ID is ambiguous, ask me rather than guessing.”
• “Prefer read-only inspection before mutation.”

These instructions reduce the risk of the agent applying the right tool to the wrong workspace, run, or organization.

Provide identifiers and environment context

Seqera tasks often depend on workspace, organization, pipeline, run, credential, or compute environment context. If you know those values, include them. If you do not, ask the agent to discover what can be listed safely before requesting changes.

A better prompt says:

“Use seqera-automation for Workflow Automation. Search for current Seqera tools that can inspect runs in my workspace. Start read-only. If workspace or run identifiers are required, ask me for them before calling a mutating tool.”

Iterate after the first tool response

After the first MCP response, do not immediately broaden the task. Ask the agent to summarize what the tool returned, identify missing fields, and propose the next valid call using the discovered schema. This keeps the workflow grounded in actual Rube MCP outputs and makes the seqera-automation guide more reliable than a one-shot prompt.