procfu-automation
by ComposioHQprocfu-automation helps Claude agents automate Procfu operations through Composio Rube MCP. Install it from ComposioHQ/awesome-claude-skills, connect Rube MCP, verify the Procfu connection, and search live tool schemas before running workflows.
This skill scores 66/100, which makes it acceptable but limited for directory listing. It gives agents enough information to trigger Procfu automation through Rube MCP and establish the required connection, but directory users should understand that it is a thin integration guide rather than a rich workflow skill with concrete Procfu task recipes.
- Clear trigger and dependency signal: it names Procfu automation through Rube MCP and declares the required `rube` MCP.
- Provides actionable setup prerequisites, including adding `https://rube.app/mcp`, checking `RUBE_SEARCH_TOOLS`, and managing a `procfu` connection with `RUBE_MANAGE_CONNECTIONS`.
- Emphasizes tool discovery first, which should help agents obtain current schemas before executing Procfu actions.
- No support files, scripts, or README are provided beyond SKILL.md, so adoption depends entirely on the brief inline instructions.
- Workflow guidance is mostly generic Rube tool discovery and connection management; it does not document concrete Procfu operations or task-specific examples.
Overview of procfu-automation skill
What procfu-automation does
procfu-automation is a Claude skill for running Procfu operations through Composio’s Rube MCP server. Its main job is not to hard-code one workflow, but to make the agent discover the current Procfu tool schemas first, verify the Procfu connection, and then execute the right Rube tool calls with less guesswork.
Use this skill when you want an AI agent to automate Procfu tasks from a Claude-compatible environment that supports MCP tools, especially when tool schemas may change and you need the agent to inspect live capabilities before acting.
Best fit for Workflow Automation users
The procfu-automation skill is best for users who already have, or are willing to set up, Rube MCP and a Procfu connection. It fits workflow automation cases where the task can be expressed as a Procfu operation: retrieve records, trigger actions, update objects, or coordinate a repeatable business process through available Procfu tools.
It is less useful if you only need general planning advice, if your client cannot access MCP tools, or if you expect the skill to work without authenticating Procfu through Rube.
Key differentiator: tool discovery first
The most important behavior in this skill is its “search tools first” rule. Before attempting a Procfu action, the agent should call RUBE_SEARCH_TOOLS for the specific use case, then use the returned tool slugs, schemas, execution plan, and pitfalls.
That makes procfu-automation safer than a static prompt because it reduces stale assumptions about tool names and input fields. The tradeoff is that every serious run should include a discovery step, so users should expect a slightly more deliberate workflow rather than a single blind command.
How to Use procfu-automation skill
procfu-automation install context
Install the skill from the Composio skill collection with:
npx skills add ComposioHQ/awesome-claude-skills --skill procfu-automation
Then configure Rube MCP in your AI client by adding the MCP endpoint:
https://rube.app/mcp
The skill requires the rube MCP server and expects RUBE_SEARCH_TOOLS to be available. After MCP is connected, use RUBE_MANAGE_CONNECTIONS with toolkit procfu to create or verify the Procfu connection. If the returned status is not ACTIVE, complete the authentication link before asking the agent to run Procfu workflows.
Inputs the skill needs from you
Good procfu-automation usage starts with a concrete operational goal. The agent needs to know:
- The exact Procfu task you want completed
- The relevant entity, record, workflow, or object names
- Required filters, dates, IDs, statuses, or user/account context
- Whether the task is read-only or allowed to modify data
- Any approval step before execution
- Expected output format, such as a summary, table, or confirmation log
A weak prompt is: “Use Procfu to update the workflow.”
A stronger prompt is: “Using procfu-automation, discover the current Procfu tools first. Find the active workflow named Vendor Onboarding, check which steps are pending approval, summarize them in a table, and ask me before making any updates.”
Practical procfu-automation usage workflow
A reliable run usually follows this pattern:
- Ask the agent to use
procfu-automation. - Tell it to call
RUBE_SEARCH_TOOLSfor your exact Procfu use case. - Confirm the
procfuconnection withRUBE_MANAGE_CONNECTIONS. - Review the discovered tool schema and planned action if the workflow changes data.
- Execute the selected Rube tool calls.
- Ask for a concise result summary, including what was changed and any skipped items.
For tasks with side effects, include an explicit checkpoint: “Do not execute updates until you show me the discovered tool, required parameters, and planned changes.”
Repository files to read first
This skill is compact: the upstream path mainly contains SKILL.md. Read it before installation if you need to verify the MCP dependency and expected call pattern. The useful sections are Prerequisites, Setup, Tool Discovery, and Core Workflow Pattern.
Because there are no supporting scripts, rules, or reference files in the skill folder, adoption depends on your MCP client setup and the live Rube/Composio Procfu toolkit rather than local helper code.
procfu-automation skill FAQ
Is procfu-automation enough without Rube MCP?
No. The procfu-automation skill depends on Rube MCP. It expects access to tools such as RUBE_SEARCH_TOOLS and RUBE_MANAGE_CONNECTIONS. Without MCP connectivity, the skill can only explain the intended workflow; it cannot execute Procfu actions.
How is this different from an ordinary Procfu prompt?
An ordinary prompt may guess what tool or field names exist. This skill instructs the agent to discover current Procfu tools first, then operate from the returned schemas. That is the main value: fewer outdated assumptions and a clearer execution plan before using automation tools.
Is procfu-automation beginner-friendly?
It is beginner-friendly for users who can follow an MCP connection flow, but not for users expecting a no-setup chatbot command. The first successful run requires confirming Rube MCP, authorizing the Procfu toolkit, and learning to describe the target operation clearly.
When should I not use this skill?
Do not use procfu-automation for tasks outside Procfu, for unauthenticated environments, or for high-risk bulk changes without review. If you need complex business rules, validation, rollback planning, or audit approval, include those constraints in the prompt or handle them outside the skill.
How to Improve procfu-automation skill
Improve procfu-automation results with sharper prompts
The biggest quality gain comes from giving the agent operational boundaries. Instead of saying “automate this,” specify the object, action, filters, and permission level.
Example:
“Use procfu-automation for Workflow Automation. Search current Procfu tools for closing completed onboarding tasks. Only consider tasks with status completed and updated before 2026-01-01. Show the discovered schema and proposed updates first. Do not execute until I approve.”
This helps the agent choose better search terms, map fields correctly, and avoid accidental broad updates.
Common failure modes to prevent
The most common failure is skipping tool discovery and assuming a schema. Prevent that by explicitly saying: “Call RUBE_SEARCH_TOOLS before any Procfu operation.”
Another failure is attempting work before the Procfu connection is active. Ask the agent to verify RUBE_MANAGE_CONNECTIONS status first. For write actions, the main risk is overbroad targeting, so require filters, previews, and confirmation before execution.
Iterate after the first output
After the first run, ask for a short execution report: tools used, inputs passed, records affected, errors, and unresolved items. If the result is wrong or incomplete, do not simply retry the same request. Refine the use case and rerun tool discovery with more precise terms.
Useful follow-up prompt:
“Based on the discovered Procfu tools and the error returned, adjust the parameters only. Do not choose a different action unless the schema requires it. Explain the change before retrying.”
What would make the skill stronger
The current skill is focused and lightweight, but users would benefit from examples for common Procfu workflows, safer write-operation templates, and sample approval checkpoints. If you adapt it internally, add organization-specific prompt snippets for read-only audits, single-record updates, and bulk operations with confirmation gates.