fireberry-automation
by ComposioHQfireberry-automation helps agents automate Fireberry CRM Operations through Composio Rube MCP, with setup steps, connection checks, and schema-first tool discovery before execution.
This skill scores 68/100, which makes it an acceptable but limited listing candidate. Directory users can understand when to use it and how an agent should start Fireberry automation through Rube MCP, but they should expect a lightweight wrapper skill with limited Fireberry-specific workflow examples or install-support materials.
- Clear trigger and scope: automate Fireberry operations through Composio's Fireberry toolkit via Rube MCP.
- Includes actionable prerequisites and setup steps, including adding https://rube.app/mcp and activating a Fireberry connection through Rube.
- Strong operational guardrail to call RUBE_SEARCH_TOOLS first for current schemas, reducing schema drift and agent guesswork.
- No support files, references, or examples beyond SKILL.md, so adoption depends heavily on Rube's live tool discovery rather than repository-contained workflow detail.
- Fireberry-specific task coverage appears thin; the guidance is mostly a generic MCP discovery/check-connection/execute pattern rather than concrete automations.
Overview of fireberry-automation skill
What fireberry-automation does
The fireberry-automation skill helps an AI agent automate Fireberry CRM operations through Composio’s Rube MCP server. Its main value is not a fixed set of hardcoded CRM commands; it teaches the agent to discover the current Fireberry tool schemas first, verify the Fireberry connection, and then execute the right Rube tool for the task.
Best fit for CRM Operations teams
This skill is best for CRM Operations, RevOps, sales operations, and support operations users who need repeatable Fireberry actions such as finding records, updating entities, checking CRM data, or orchestrating multi-step CRM workflows. It is especially useful when you want Claude or another MCP-capable assistant to work inside Fireberry without guessing API shapes from memory.
Key differentiator: schema-first execution
The important rule in this skill is: always call RUBE_SEARCH_TOOLS before acting. That matters because available Fireberry actions, required fields, and input formats can change. The skill is designed to reduce broken automations by making the assistant discover current tool slugs, schemas, recommended execution plans, and pitfalls before it calls a Fireberry operation.
Adoption considerations
fireberry-automation is lightweight: the repository path contains a single SKILL.md and no helper scripts, examples folder, or extra rules. That makes it easy to inspect, but it also means success depends on your MCP client being configured correctly and your prompt containing enough CRM context. You should adopt it if you already use, or are willing to use, Rube MCP with an active Fireberry connection.
How to Use fireberry-automation skill
fireberry-automation install and connection setup
Install the skill in your Claude skills environment, for example:
npx skills add ComposioHQ/awesome-claude-skills --skill fireberry-automation
Then configure Rube MCP in your client by adding:
https://rube.app/mcp
Before asking for Fireberry work, confirm that RUBE_SEARCH_TOOLS is available. Next, use RUBE_MANAGE_CONNECTIONS for the fireberry toolkit. If the connection is not ACTIVE, complete the returned authentication flow and re-check the status before running CRM workflows.
Inputs the skill needs from you
For good fireberry-automation usage, provide the business goal, the Fireberry object or record type, matching fields, update fields, constraints, and whether the agent should make changes or only prepare a plan. A weak prompt is: “Update my Fireberry leads.” A stronger prompt is:
“Using fireberry-automation, find Fireberry leads where status = New and source = Webinar, review available Fireberry tools first, then propose an execution plan. Do not update records until I approve. If required fields are missing from the tool schema, ask me before proceeding.”
Recommended workflow
Use a staged workflow rather than one large instruction. First ask the agent to discover tools with RUBE_SEARCH_TOOLS for your exact use case. Second, have it verify the Fireberry connection. Third, ask it to map your goal to the discovered tool schema. Fourth, run a read-only check or small sample when possible. Finally, execute the write operation only after the field mapping and target records are clear.
Repository files to read first
Start with composio-skills/fireberry-automation/SKILL.md. It contains the complete operational guidance: prerequisites, Rube MCP setup, tool discovery, connection checks, and the core workflow pattern. There are no bundled scripts or reference files, so the main thing to inspect is whether your MCP client supports the required Rube tools and whether your team’s Fireberry permissions allow the intended actions.
fireberry-automation skill FAQ
Is fireberry-automation only for developers?
No. The skill is useful for non-developer CRM Operations users if they can describe the Fireberry task precisely and have an MCP-capable assistant configured. However, someone technical may need to perform the first-time MCP setup, connection authorization, and permissions review.
How is this different from an ordinary CRM prompt?
An ordinary prompt may hallucinate Fireberry fields or assume an API format. The fireberry-automation skill tells the agent to search Rube’s current Fireberry tools first, inspect schemas, and then execute. That schema-first pattern is the main reason to install the skill instead of relying on generic CRM instructions.
When should I not use this skill?
Do not use it when Rube MCP is unavailable, the Fireberry connection cannot be activated, or the task requires business judgment that is not encoded in your prompt. Also avoid direct write operations when you cannot clearly identify the target records, required fields, or rollback process.
Does it include prebuilt Fireberry workflows?
Not as standalone scripts. fireberry-automation provides a workflow pattern for discovering and using Composio Fireberry tools through Rube MCP. The exact available actions come from RUBE_SEARCH_TOOLS, so your assistant should not assume a specific tool slug until discovery has been completed.
How to Improve fireberry-automation skill
Improve fireberry-automation results with clearer goals
The fastest improvement is to state the intended CRM outcome in operational terms. Include record type, filters, fields to read or update, allowed side effects, approval requirements, and success criteria. For example, “Create a task for each open opportunity with no next step” is better than “clean up opportunities” because it tells the agent what object, condition, and action to look for.
Prevent common failure modes
Common problems include skipping RUBE_SEARCH_TOOLS, acting before the Fireberry connection is ACTIVE, confusing similar field names, and updating too many records at once. Add explicit guardrails: “Search tools first,” “show the discovered schema,” “confirm target count before writes,” and “ask if a required field is ambiguous.”
Iterate after the first output
Treat the first response as a plan, not the final automation. Ask the agent to summarize the discovered Fireberry tools, list required inputs, identify missing values, and explain which operation is read-only versus write-capable. If the plan is correct, then approve a narrow execution step before expanding to a larger batch.
Add local team conventions
To make the fireberry-automation skill stronger for your organization, pair it with your own CRM naming conventions, status definitions, required fields, and approval rules. A short internal note such as “Never modify closed opportunities,” “Use owner email as the primary user identifier,” or “All bulk updates require sample validation first” can dramatically improve output quality.