rocketlane-automation
by ComposioHQrocketlane-automation helps agents automate Rocketlane workflows through Composio Rube MCP. Use it to discover current tool schemas, verify the Rocketlane connection, and run safer project, task, onboarding, and customer operations.
This skill scores 66/100, which makes it acceptable for listing but limited. Directory users can understand when to use it and how to start a Rocketlane connection through Rube MCP, but they should expect a lightweight integration guide rather than a fully worked automation playbook.
- Clear scope and trigger: the frontmatter and title identify Rocketlane automation through Composio/Rube MCP.
- Useful prerequisites and setup steps explain that Rube MCP, RUBE_SEARCH_TOOLS, and an ACTIVE Rocketlane connection are required before execution.
- The skill repeatedly instructs agents to discover current tool schemas first, reducing risk from stale Rocketlane tool definitions.
- No support files, scripts, references, examples, or README beyond SKILL.md, so adoption relies entirely on the MCP tool-discovery flow.
- Workflow guidance is generic and schema-dependent; it does not document concrete Rocketlane task recipes, field mappings, or common edge cases.
Overview of rocketlane-automation skill
What rocketlane-automation does
rocketlane-automation is a Claude skill for running Rocketlane workflow automation through Composio’s Rube MCP server. It helps an agent discover the current Rocketlane tool schemas, check whether your Rocketlane connection is active, and execute project, customer onboarding, task, or operational updates with less guesswork than a generic prompt.
Best-fit users and jobs
This skill is a good fit for teams that already use Rocketlane and want an AI assistant to handle repeatable operational work: creating or updating projects, finding project records, managing tasks, checking onboarding data, or coordinating customer success workflows. It is most useful for users who need reliable tool-calling behavior, not just written advice about Rocketlane.
Key differentiator: schema discovery first
The most important behavior in the rocketlane-automation skill is its insistence on calling RUBE_SEARCH_TOOLS before execution. Rocketlane tool names and input schemas can change, so the skill tells the agent to discover available tools, inspect required fields, and then run the right action. That makes it safer than hard-coding old Rocketlane API assumptions into prompts.
Adoption requirements
Before using rocketlane-automation, your client must support MCP, Rube MCP must be configured at https://rube.app/mcp, and Rocketlane must be connected through RUBE_MANAGE_CONNECTIONS with toolkit rocketlane. If your environment cannot use MCP tools, this skill will not automate Rocketlane directly.
How to Use rocketlane-automation skill
rocketlane-automation install and setup path
Install the skill from the Composio skills repository, then configure Rube MCP in your AI client:
npx skills add ComposioHQ/awesome-claude-skills --skill rocketlane-automation
After installation, add https://rube.app/mcp as an MCP server. Then verify that RUBE_SEARCH_TOOLS is available. Use RUBE_MANAGE_CONNECTIONS with toolkit rocketlane to check whether the Rocketlane connection is ACTIVE; if not, complete the returned authentication flow before asking the agent to perform updates.
Inputs the skill needs for reliable Rocketlane actions
A weak prompt such as “update the onboarding project” may force the agent to guess. A stronger rocketlane-automation usage prompt includes the object type, identifiers, desired action, constraints, and confirmation rules:
Use
rocketlane-automationto find the Rocketlane project for customer “Acme Health”, confirm the project ID before making changes, then update the kickoff task due date to 2026-02-15 and add a note that the date was moved after customer approval. Search Rube tools first and show the planned tool call before execution.
Useful inputs include customer name, project name, task name, owner, status, due date, phase, custom fields, and whether the agent may write immediately or must ask for confirmation.
Suggested workflow for first use
Start by opening composio-skills/rocketlane-automation/SKILL.md; it is the only primary support file in this skill. Follow its operating sequence: discover tools with RUBE_SEARCH_TOOLS, check the Rocketlane connection, select the matching tool from the returned schemas, then execute. For first runs, ask the agent to perform a read-only lookup before any create, update, or delete operation.
A practical first prompt:
Use the
rocketlane-automationskill for Workflow Automation. First search current Rocketlane tools for “find customer onboarding projects and list tasks.” Check the Rocketlane connection status. Then list the matching project and task records for customer “Acme Health” without changing anything.
Practical tips that improve output quality
Use precise business language, but require tool-schema validation. Tell the agent whether names are exact or approximate, whether duplicates are possible, and what to do if more than one Rocketlane record matches. For write operations, specify an approval gate: “Do not update until I confirm the selected project ID.” This prevents common automation failures such as editing the wrong customer project or using stale field names.
rocketlane-automation skill FAQ
Is rocketlane-automation only for developers?
No. The skill is usable by operations, onboarding, customer success, and implementation teams, provided their AI client can run MCP tools. Non-developers still need access to a configured Rube MCP connection and an authenticated Rocketlane account.
How is this better than an ordinary Rocketlane prompt?
A normal prompt can describe what to do, but it does not automatically know the current Composio Rocketlane tool schemas. rocketlane-automation instructs the agent to search tools first, use the returned schemas, check the connection, and then execute the workflow through Rube MCP.
When should I not use this skill?
Do not use it when you only need a written project plan, when your Rocketlane connection is not authorized, or when your organization forbids AI agents from making SaaS changes. Also avoid using it for broad bulk updates unless you add clear filtering, dry-run, and confirmation requirements.
Does it include scripts or extra reference files?
No. The repository path currently contains SKILL.md only. That keeps the skill lightweight, but it also means users should read the source instructions carefully and rely on live RUBE_SEARCH_TOOLS results rather than expecting bundled examples, scripts, or local validation utilities.
How to Improve rocketlane-automation skill
Improve prompts with record-matching rules
The biggest quality gain comes from telling rocketlane-automation how to identify the right Rocketlane records. Include exact names, fallback search terms, expected status, owner, date range, and duplicate-handling rules. For example: “If multiple projects match Acme, choose the one in implementation status and ask me before updating.”
Prevent common failure modes
Common issues include inactive Rocketlane authentication, missing required fields, ambiguous project names, and tool schema drift. Reduce these by requiring the agent to: call RUBE_SEARCH_TOOLS, inspect required fields, verify RUBE_MANAGE_CONNECTIONS status, summarize the intended action, and pause before writes that affect customers, timelines, or ownership.
Iterate after the first output
After the first run, ask for a compact execution report: tools discovered, records selected, fields changed, and any skipped actions. If the result is incomplete, refine the next prompt with the missing field names or constraints revealed by the schema. This turns rocketlane-automation guide usage into a controlled workflow rather than a one-shot command.
Add local team conventions around the skill
For better long-term use, document your organization’s Rocketlane naming conventions, required approval steps, and safe automation boundaries in your own workspace prompt or runbook. The upstream skill supplies the Rube MCP pattern; your team should add rules for which Rocketlane changes are read-only, approval-required, or safe to execute automatically.