folk-automation
by ComposioHQfolk-automation helps agents run Folk CRM operations through Composio Rube MCP by discovering live tool schemas, checking the Folk connection, and using safer preview-first workflows.
This skill scores 68/100, which means it is acceptable for directory listing but should be presented as a lightweight MCP workflow guide rather than a deeply packaged automation skill. Directory users get enough evidence to understand when to install it—Folk automation through Rube MCP—and how an agent should begin safely, but the lack of support files, install command, and concrete stable examples limits confidence.
- Clear scope and trigger: it is specifically for automating Folk operations through Composio's Folk toolkit via Rube MCP.
- Prerequisites and setup steps are explicit, including verifying RUBE_SEARCH_TOOLS, using RUBE_MANAGE_CONNECTIONS, and confirming an ACTIVE Folk connection.
- The skill gives agents an operational pattern to reduce guesswork: always search current tool schemas before executing Folk workflows.
- No support files, scripts, references, or README beyond SKILL.md, so adoption depends entirely on the short embedded instructions.
- No install command is provided in the skill file, and task execution relies on live Rube tool discovery rather than stable documented Folk tool schemas.
Overview of folk-automation skill
What folk-automation is for
folk-automation is a Claude skill for running Folk CRM operations through Composio’s Rube MCP server. Instead of asking the assistant to guess Folk API fields, the skill instructs it to discover current Folk tools first with RUBE_SEARCH_TOOLS, verify the Folk connection, then execute the workflow using the returned schemas.
Best fit for CRM Operations teams
The best fit is CRM Operations, RevOps, founders, or sales teams that already use Folk and want AI-assisted contact, company, list, or pipeline-style operations without hand-building every API call. The real job-to-be-done is safer CRM automation: turn a natural-language business task into tool calls that respect Folk’s currently available Composio toolkit schemas.
What makes this skill different
The main differentiator is its “search tools first” pattern. Generic prompts often fail because CRM tool schemas change, required fields are easy to miss, and authentication state is invisible. The folk-automation skill explicitly depends on Rube MCP, checks the folk toolkit connection, and uses live tool discovery before attempting execution.
Adoption constraints to know first
This is not a standalone Folk integration. You need an MCP-capable client, Rube MCP configured at https://rube.app/mcp, and an active Folk connection through RUBE_MANAGE_CONNECTIONS. The repository contains only SKILL.md, so the value is in the workflow instructions, not supporting scripts, reference data, or prebuilt automations.
How to Use folk-automation skill
folk-automation install and setup path
Install the skill from the repository with your skill manager, for example:
npx skills add ComposioHQ/awesome-claude-skills --skill folk-automation
Then configure Rube MCP in your client by adding https://rube.app/mcp as an MCP server. After the server is available, confirm that RUBE_SEARCH_TOOLS responds. Next, call RUBE_MANAGE_CONNECTIONS with toolkit folk; if the connection is not ACTIVE, complete the returned authentication flow before running CRM tasks.
Inputs the skill needs from you
For reliable folk-automation usage, give the assistant the business goal, target records, matching rules, field names if known, and safety limits. A weak request is: “Update Folk contacts.” A stronger request is: “Using Folk via Rube MCP, find contacts in the ‘Leads - Q3’ list with missing linkedin_url, enrich only records where the company domain is present, preview the first 10 proposed updates, and do not write changes until I approve.”
That extra context helps the assistant choose the right Folk tools, avoid broad updates, and ask for confirmation before irreversible actions.
Recommended workflow for real tasks
Start each session with tool discovery:
RUBE_SEARCH_TOOLS using a specific use case such as “find Folk people in a list and update custom fields.” Reuse the returned session_id when checking the connection with RUBE_MANAGE_CONNECTIONS. Only after the schema and connection are confirmed should the assistant plan execution.
A practical workflow is: discover tools, check connection, map your goal to the available schema, run a small read-only query, inspect sample output, then perform the write operation in batches. For CRM Operations work, request a dry run or preview whenever the task affects many people or companies.
Repository files to read first
Read composio-skills/folk-automation/SKILL.md before installing. It contains the prerequisites, setup sequence, tool discovery examples, and core execution pattern. There are no bundled scripts/, rules/, resources/, or references/ folders in this skill, so do not expect hidden templates or local automation code. If you need exact Folk object behavior, also review Composio’s Folk toolkit documentation at composio.dev/toolkits/folk.
folk-automation skill FAQ
Is folk-automation useful if I can already prompt Claude?
Yes, if your task requires actual Folk operations through tools. Ordinary prompts can describe a CRM workflow, but they do not automatically force live schema discovery or connection checks. The folk-automation skill is most useful when the assistant must call Rube MCP tools safely instead of inventing fields or assuming stale API shapes.
What can this skill automate in Folk?
The skill is designed for Folk operations exposed through Composio’s Folk toolkit. The exact actions depend on what RUBE_SEARCH_TOOLS returns at runtime. Use it for tasks such as finding records, preparing updates, coordinating contact or company workflows, and executing schema-backed CRM operations. Do not assume a tool exists until discovery confirms it.
Is this beginner-friendly?
It is beginner-friendly for users comfortable authorizing a connection and describing CRM tasks clearly. It is less suitable if you expect a one-click app with a UI, prebuilt dashboards, or automatic field mapping. The skill improves the assistant’s operating pattern, but you still need to review proposed writes and understand your Folk data model.
When should I not use this skill?
Do not use folk-automation for bulk destructive changes without previews, for workflows where Folk is not connected through Rube MCP, or for tasks requiring custom business logic not available through the current Composio toolkit. If you only need a written CRM process document and no live tool execution, a normal prompt may be simpler.
How to Improve folk-automation skill
Improve folk-automation results with clearer prompts
Better prompts specify scope, matching logic, write permissions, and fallback behavior. Include list names, segment names, custom field labels, acceptable confidence thresholds, and whether the assistant should stop on ambiguous matches. For example: “Match companies by domain first, then exact name; skip duplicates; create a CSV-style preview; ask before updating Folk.”
Common failure modes to prevent
The most common failure is skipping tool discovery and using assumed schemas. Another is running writes before confirming the Folk connection is ACTIVE. Ambiguous record matching is also risky in CRM Operations because duplicate people or companies can exist. Ask the assistant to show the discovered tool slug, required inputs, and planned write payload before execution.
Iterate after the first output
After the first read or preview, refine the workflow based on actual Folk data. If too many records match, tighten filters. If required fields are missing, ask the assistant to revise the plan using only fields confirmed by RUBE_SEARCH_TOOLS. For larger updates, move from 5-record tests to small batches before full execution.
Extend the skill for your operating model
Teams can improve this folk-automation guide by adding internal conventions around list names, custom field definitions, approval thresholds, and rollback procedures. Since the upstream skill has only SKILL.md, your local documentation can add the missing operational layer: standard prompts, safe batch sizes, field mapping notes, and examples of approved Folk workflows.