Make Automation via Rube MCP

Overview

This public intake copy packages

plugins/antigravity-awesome-skills-claude/skills/make-automation

https://github.com/sickn33/antigravity-awesome-skills

Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.

This intake keeps the copied upstream files intact and uses

metadata.json

ORIGIN.md

Make Automation via Rube MCP Automate Make (formerly Integromat) operations through Composio's Make toolkit via Rube MCP.

Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: Prerequisites, Common Patterns, Known Pitfalls, Additional Notes, Limitations.

When to Use This Skill

Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.

• This skill is applicable to execute the workflow or actions described in the overview.
• Use when the request clearly matches the imported source intent: Automate Make (Integromat) tasks via Rube MCP (Composio): operations, enums, language and timezone lookups. Always search tools first for current schemas.
• Use when the operator should preserve upstream workflow detail instead of rewriting the process from scratch.
• Use when provenance needs to stay visible in the answer, PR, or review packet.
• Use when copied upstream references, examples, or scripts materially improve the answer.
• Use when the workflow should remain reviewable in the public intake repo before the private enhancer takes over.

Operating Table

metadata.json

ORIGIN.md

SKILL.md

SKILL.md

## Related Skills

Workflow

This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.

1. Verify Rube MCP is available by confirming RUBESEARCHTOOLS responds
2. Call RUBEMANAGECONNECTIONS with toolkit make
3. If connection is not ACTIVE, follow the returned auth link to complete Make authentication
4. Confirm connection status shows ACTIVE before running any workflows
5. MAKEGETOPERATIONS - Retrieve operation records [Required]
6. Check current schema via RUBESEARCHTOOLS for available filters
7. May include date range, scenario ID, or status filters

Imported Workflow Notes

Imported: Setup

Get Rube MCP: Add

https://rube.app/mcp

1. Verify Rube MCP is available by confirming

   RUBE_SEARCH_TOOLS

   responds
2. Call

   RUBE_MANAGE_CONNECTIONS

   with toolkit

   make

3. If connection is not ACTIVE, follow the returned auth link to complete Make authentication
4. Confirm connection status shows ACTIVE before running any workflows

Imported: Core Workflows

1. Get Operations Data

When to use: User wants to retrieve operation logs or usage data from Make scenarios

Tool sequence:

1. MAKE_GET_OPERATIONS

   - Retrieve operation records [Required]

Key parameters:

• Check current schema via RUBE_SEARCH_TOOLS for available filters
• May include date range, scenario ID, or status filters

Pitfalls:

• Operations data may be paginated; check for pagination tokens
• Date filters must match expected format from schema
• Large result sets should be filtered by date range or scenario

2. List Available Languages

When to use: User wants to see supported languages for Make scenarios or interfaces

Tool sequence:

1. MAKE_LIST_ENUMS_LANGUAGES

   - Get all supported language codes [Required]

Key parameters:

• No required parameters; returns complete language list

Pitfalls:

• Language codes follow standard locale format (e.g., 'en', 'fr', 'de')
• List is static and rarely changes; cache results when possible

3. List Available Timezones

When to use: User wants to see supported timezones for scheduling Make scenarios

Tool sequence:

1. MAKE_LIST_ENUMS_TIMEZONES

   - Get all supported timezone identifiers [Required]

Key parameters:

• No required parameters; returns complete timezone list

Pitfalls:

• Timezone identifiers use IANA format (e.g., 'America/New_York', 'Europe/London')
• List is static and rarely changes; cache results when possible
• Use these exact timezone strings when configuring scenario schedules

4. Scenario Configuration Lookup

When to use: User needs to configure scenarios with correct language and timezone values

Tool sequence:

1. MAKE_LIST_ENUMS_LANGUAGES

   - Get valid language codes [Required]

2. MAKE_LIST_ENUMS_TIMEZONES

   - Get valid timezone identifiers [Required]

Key parameters:

• No parameters needed for either call

Pitfalls:

• Always verify language and timezone values against these enums before using in configuration
• Using invalid values in scenario configuration will cause errors

Imported: Prerequisites

• Rube MCP must be connected (RUBE_SEARCH_TOOLS available)
• Active Make connection via

  RUBE_MANAGE_CONNECTIONS

  with toolkit

  make

• Always call

  RUBE_SEARCH_TOOLS

  first to get current tool schemas

Examples

Example 1: Ask for the upstream workflow directly

Use @make-automation to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.

Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.

Example 2: Ask for a provenance-grounded review

Review @make-automation against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.

Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.

Example 3: Narrow the copied support files before execution

Use @make-automation for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.

Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.

Example 4: Build a reviewer packet

Review @make-automation using the copied upstream files plus provenance, then summarize any gaps before merge.

Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.

Best Practices

Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.

• Keep the imported skill grounded in the upstream repository; do not invent steps that the source material cannot support.
• Prefer the smallest useful set of support files so the workflow stays auditable and fast to review.
• Keep provenance, source commit, and imported file paths visible in notes and PR descriptions.
• Point directly at the copied upstream files that justify the workflow instead of relying on generic review boilerplate.
• Treat generated examples as scaffolding; adapt them to the concrete task before execution.
• Route to a stronger native skill when architecture, debugging, design, or security concerns become dominant.

Troubleshooting

Problem: The operator skipped the imported context and answered too generically

Symptoms: The result ignores the upstream workflow in

plugins/antigravity-awesome-skills-claude/skills/make-automation

metadata.json

ORIGIN.md

Problem: The imported workflow feels incomplete during review

Symptoms: Reviewers can see the generated

SKILL.md

Problem: The task drifted into a different specialization

Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better. Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.

Related Skills

• @linear-claude-skill

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

• @linkedin-automation

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

• @linkedin-cli

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

• @linkedin-profile-optimizer

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

Additional Resources

Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.

references

references/n/a

examples

examples/n/a

scripts

scripts/n/a

agents

agents/n/a

assets

assets/n/a

Imported Reference Notes

Imported: Quick Reference

Imported: Common Patterns

Enum Validation

Before configuring any Make scenario properties that accept language or timezone:

1. Call MAKE_LIST_ENUMS_LANGUAGES or MAKE_LIST_ENUMS_TIMEZONES
2. Verify the desired value exists in the returned list
3. Use the exact string value from the enum list

Operations Monitoring

1. Call MAKE_GET_OPERATIONS with date range filters
2. Analyze operation counts, statuses, and error rates
3. Identify failed operations for troubleshooting

Caching Strategy for Enums

Since language and timezone lists are static:

1. Call MAKE_LIST_ENUMS_LANGUAGES once at workflow start
2. Store results in memory or local cache
3. Validate user inputs against cached values
4. Refresh cache only when starting a new session

Operations Analysis Workflow

For scenario health monitoring:

1. Call MAKE_GET_OPERATIONS with recent date range
2. Group operations by scenario ID
3. Calculate success/failure ratios per scenario
4. Identify scenarios with high error rates
5. Report findings to user or notification channel

Integration with Other Toolkits

Make workflows often connect to other apps. Compose multi-tool workflows:

1. Call RUBE_SEARCH_TOOLS to find tools for the target app
2. Connect required toolkits via RUBE_MANAGE_CONNECTIONS
3. Use Make operations data to understand workflow execution patterns
4. Execute equivalent workflows directly via individual app toolkits

Imported: Known Pitfalls

Limited Toolkit:

• The Make toolkit in Composio currently has limited tools (operations, languages, timezones)
• For full scenario management (creating, editing, running scenarios), consider using Make's native API
• Always call RUBE_SEARCH_TOOLS to check for newly available tools
• The toolkit may be expanded over time; re-check periodically

Operations Data:

• Operation records may have significant volume for active accounts
• Always filter by date range to avoid fetching excessive data
• Operation counts relate to Make's pricing tiers and quota usage
• Failed operations should be investigated; they may indicate scenario configuration issues

Response Parsing:

• Response data may be nested under

  data

  key
• Enum lists return arrays of objects with code and label fields
• Operations data includes nested metadata about scenario execution
• Parse defensively with fallbacks for optional fields

Rate Limits:

• Make API has rate limits per API token
• Avoid rapid repeated calls to the same endpoint
• Cache enum results (languages, timezones) as they rarely change
• Operations queries should use targeted date ranges

Authentication:

• Make API uses token-based authentication
• Tokens may have different permission scopes
• Some operations data may be restricted based on token scope
• Check that the authenticated user has access to the target organization

Imported: Additional Notes

Alternative Approaches

Since the Make toolkit has limited tools, consider these alternatives for common Make use cases:

Composing Equivalent Workflows

Instead of relying solely on Make's toolkit, build equivalent automation directly:

1. Identify the apps involved in your Make scenario
2. Search for each app's tools via RUBE_SEARCH_TOOLS
3. Connect all required toolkits
4. Build the workflow step-by-step using individual app tools
5. Save as a recipe via RUBE_CREATE_UPDATE_RECIPE for reuse

Imported: Limitations

• Use this skill only when the task clearly matches the scope described above.
• Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
• Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.