klipfolio-automation

Overview of klipfolio-automation skill

What klipfolio-automation does

klipfolio-automation is a Claude skill for automating Klipfolio work through Composio’s Rube MCP toolkit. Its main job is not to hard-code one fixed Klipfolio workflow; it teaches the agent to discover the current Klipfolio tool schemas first, confirm the account connection, and then execute tasks using the right Rube MCP tool calls.

Use it when you want an AI agent to help with Klipfolio operations such as finding available Klipfolio actions, preparing API-style inputs, checking connection status, or building repeatable dashboard/data-workflow steps through Composio.

Best-fit users and workflows

This klipfolio-automation skill is best for users who already use, or are willing to use, Rube MCP with a connected Klipfolio account. It fits workflow automation teams, analytics operators, dashboard maintainers, and developers who want Claude to coordinate Klipfolio actions without manually inspecting tool schemas each time.

It is especially useful when your task depends on current Composio schemas, because the skill explicitly tells the agent to call RUBE_SEARCH_TOOLS before execution instead of guessing field names.

Key differentiator: schema discovery first

The most important design choice in klipfolio-automation is the “search tools first” pattern. Klipfolio and Composio tool schemas may change, and different operations require different input fields. The skill reduces brittle automation by making tool discovery part of the normal workflow:

• discover relevant Klipfolio tools with RUBE_SEARCH_TOOLS
• verify the Klipfolio connection with Rube connection management
• use returned schemas and execution plans before calling tools
• continue with the same session where possible

How to Use klipfolio-automation skill

klipfolio-automation install and setup context

Install the skill in a compatible skills client with:

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

Then configure Rube MCP in your client. The source skill points to the MCP server endpoint:

https://rube.app/mcp

Before expecting useful output, confirm three things:

1. RUBE_SEARCH_TOOLS is available in your client.
2. A Klipfolio connection exists through Rube.
3. The connection status is ACTIVE.

If the Klipfolio connection is not active, ask the agent to use the Rube connection-management tool for toolkit klipfolio and follow the returned authorization link.

Inputs the skill needs from you

For strong klipfolio-automation usage, do not only say “automate Klipfolio.” Give the agent the operational goal, target object, constraints, and expected output format.

Weak prompt:

Automate my Klipfolio dashboard.

Stronger prompt:

Use the klipfolio-automation skill. First search Rube tools for current Klipfolio schemas. I need to update a Klipfolio dashboard workflow for our weekly revenue report. Check that the Klipfolio connection is active, identify which available tools can list or update relevant Klipfolio resources, and propose the exact execution plan before making changes. Do not modify anything until I approve the tool and fields.

This works better because it tells the agent to discover schemas, respect approval boundaries, and separate planning from execution.

Practical workflow for first run

A reliable first-run pattern is:

1. Ask the agent to read composio-skills/klipfolio-automation/SKILL.md.
2. Have it call RUBE_SEARCH_TOOLS with a specific use case such as "Klipfolio dashboard update" or "Klipfolio data source management".
3. Ask it to summarize available tool slugs, required fields, optional fields, and pitfalls.
4. Confirm the Klipfolio connection is active.
5. Run a low-risk read/list action before any write/update action.
6. Review the proposed payload before execution.

The only required repository file to inspect first is SKILL.md; this skill does not ship extra scripts, resources, or reference folders, so most practical context comes from live Rube tool discovery.

Prompt pattern for safer automation

For production-like work, use a staged prompt:

Use klipfolio-automation for Workflow Automation. Start by calling RUBE_SEARCH_TOOLS for: [specific Klipfolio task]. Reuse the generated session. Check whether the Klipfolio connection is active. Return a plan with the exact tool slug, required fields, missing information, and risk level. Wait for approval before any action that creates, updates, deletes, or changes Klipfolio assets.

This prevents the common failure mode where an agent invents a schema or moves directly to a write operation without validating the current toolkit.

klipfolio-automation skill FAQ

Is klipfolio-automation suitable for beginners?

Yes, if you are comfortable connecting Rube MCP and following an auth flow. The skill itself is short and direct, but the surrounding workflow requires understanding that Claude will call external MCP tools. Beginners should start with read-only discovery tasks and ask the agent to explain each tool before execution.

How is it different from an ordinary Klipfolio prompt?

A normal prompt may rely on the model’s memory of Klipfolio or API patterns. The klipfolio-automation skill instructs the agent to query Rube for current tool schemas first. That makes it better for real automation, where exact fields, tool names, and connection state matter more than general product knowledge.

When should I not use this skill?

Do not use it if you do not plan to connect Rube MCP, if your client cannot access MCP tools, or if you need offline documentation-only help. It is also not a full Klipfolio dashboard design guide; it is an execution-oriented automation skill for working through Composio’s Klipfolio toolkit.

Does it include custom scripts or templates?

No. The repository evidence shows a single SKILL.md without bundled scripts, references, or assets. That keeps the skill lightweight, but it also means users should rely on live RUBE_SEARCH_TOOLS results and their own Klipfolio context rather than expecting prebuilt workflow templates.

How to Improve klipfolio-automation skill

Improve klipfolio-automation results with clearer goals

The easiest way to improve klipfolio-automation output is to replace vague dashboard language with task-specific intent. Include:

• the Klipfolio asset type you care about
• whether the action is read-only or write-capable
• the business goal behind the automation
• known IDs, names, URLs, or workspace context
• approval requirements before changes

For example, “find available tools for listing Klipfolio dashboards and report required fields” is much more actionable than “help with Klipfolio.”

Avoid common failure modes

The biggest risk is schema guessing. If the agent does not call RUBE_SEARCH_TOOLS first, stop and redirect it. A second common issue is connection drift: the agent may plan a workflow before confirming the Klipfolio connection is ACTIVE. A third issue is unsafe writes; require a plan and payload review before create, update, or delete operations.

A good guardrail is: discovery first, connection second, read action third, write action only after approval.

Iterate after the first tool discovery

After the first discovery call, ask the agent to refine the plan using the actual returned schema:

Based on the discovered Klipfolio tools, identify the safest read-only validation step, list the exact required fields, and tell me what information you still need from me before execution.

This turns the skill from a generic automation request into a schema-grounded workflow.

Repository-reading path for maintainers

If you are evaluating or extending the skill, start with SKILL.md. Check the frontmatter requirements, especially requires: mcp: [rube], then review the prerequisite, setup, tool discovery, and core workflow sections. Since there are no supporting files, meaningful improvement would likely come from adding examples for common Klipfolio tasks, safer approval language, and sample prompts for read-only versus write workflows.