Render Automation via Rube MCP

Overview

This public intake copy packages

plugins/antigravity-awesome-skills-claude/skills/render-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

Render Automation via Rube MCP Automate Render cloud platform operations through Composio's Render 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, 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 Render tasks via Rube MCP (Composio): services, deployments, projects. 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 render
3. If connection is not ACTIVE, follow the returned auth link to complete Render authentication
4. Confirm connection status shows ACTIVE before running any workflows
5. RENDERLISTSERVICES - List all services with optional filters [Required]
6. name: Filter services by name substring
7. type: Filter by service type ('webservice', 'staticsite', 'privateservice', 'backgroundworker', 'cron_job')

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

   render

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

Imported: Core Workflows

1. List and Browse Services

When to use: User wants to find or inspect Render services (web services, static sites, workers, cron jobs)

Tool sequence:

1. RENDER_LIST_SERVICES

   - List all services with optional filters [Required]

Key parameters:

• name

  : Filter services by name substring

• type

  : Filter by service type ('web_service', 'static_site', 'private_service', 'background_worker', 'cron_job')

• limit

  : Maximum results per page (default 20, max 100)

• cursor

  : Pagination cursor from previous response

Pitfalls:

• Service types must match exact enum values: 'web_service', 'static_site', 'private_service', 'background_worker', 'cron_job'
• Pagination uses cursor-based approach; follow

  cursor

  until absent
• Name filter is substring-based, not exact match
• Service IDs follow the format 'srv-xxxxxxxxxxxx'
• Default limit is 20; set higher for comprehensive listing

2. Trigger Deployments

When to use: User wants to manually deploy or redeploy a service

Tool sequence:

1. RENDER_LIST_SERVICES

   - Find the service to deploy [Prerequisite]

2. RENDER_TRIGGER_DEPLOY

   - Trigger a new deployment [Required]

3. RENDER_RETRIEVE_DEPLOY

   - Monitor deployment progress [Optional]

Key parameters:

• For TRIGGER_DEPLOY:

  • serviceId

    : Service ID to deploy (required, format: 'srv-xxxxxxxxxxxx')

  • clearCache

    : Set

    true

    to clear build cache before deploying
• For RETRIEVE_DEPLOY:

  • serviceId

    : Service ID

  • deployId

    : Deploy ID from trigger response (format: 'dep-xxxxxxxxxxxx')

Pitfalls:

• serviceId

  is required; resolve via LIST_SERVICES first
• Service IDs start with 'srv-' prefix
• Deploy IDs start with 'dep-' prefix

• clearCache: true

  forces a clean build; takes longer but resolves cache-related issues
• Deployment is asynchronous; use RETRIEVE_DEPLOY to poll status
• Triggering a deploy while another is in progress may queue the new one

3. Monitor Deployment Status

When to use: User wants to check the progress or result of a deployment

Tool sequence:

1. RENDER_RETRIEVE_DEPLOY

   - Get deployment details and status [Required]

Key parameters:

• serviceId

  : Service ID (required)

• deployId

  : Deployment ID (required)
• Response includes

  status

  ,

  createdAt

  ,

  updatedAt

  ,

  finishedAt

  ,

  commit

Pitfalls:

• Both

  serviceId

  and

  deployId

  are required
• Deploy statuses include: 'created', 'build_in_progress', 'update_in_progress', 'live', 'deactivated', 'build_failed', 'update_failed', 'canceled'
• 'live' indicates successful deployment
• 'build_failed' or 'update_failed' indicate deployment errors
• Poll at reasonable intervals (10-30 seconds) to avoid rate limits

4. Manage Projects

When to use: User wants to list and organize Render projects

Tool sequence:

1. RENDER_LIST_PROJECTS

   - List all projects [Required]

Key parameters:

• limit

  : Maximum results per page (max 100)

• cursor

  : Pagination cursor from previous response

Pitfalls:

• Projects group related services together
• Pagination uses cursor-based approach
• Project IDs are used for organizational purposes
• Not all services may be assigned to a project

Imported: Prerequisites

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

  RUBE_MANAGE_CONNECTIONS

  with toolkit

  render

• Always call

  RUBE_SEARCH_TOOLS

  first to get current tool schemas

Examples

Example 1: Ask for the upstream workflow directly

Use @render-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 @render-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 @render-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 @render-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/render-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

• @00-andruia-consultant-v2

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

• @10-andruia-skill-smith-v2

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

• @20-andruia-niche-intelligence-v2

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

• @2d-games

  - 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

ID Resolution

Service name -> Service ID:

1. Call RENDER_LIST_SERVICES with name=service_name
2. Find service by name in results
3. Extract id (format: 'srv-xxxxxxxxxxxx')

Deployment lookup:

1. Store deployId from RENDER_TRIGGER_DEPLOY response
2. Call RENDER_RETRIEVE_DEPLOY with serviceId and deployId
3. Check status for completion

Deploy and Monitor Pattern

1. RENDER_LIST_SERVICES -> find service by name -> get serviceId
2. RENDER_TRIGGER_DEPLOY with serviceId -> get deployId
3. Loop: RENDER_RETRIEVE_DEPLOY with serviceId + deployId
4. Check status: 'live' = success, 'build_failed'/'update_failed' = error
5. Continue polling until terminal state reached

Pagination

• Use

  cursor

  from response for next page
• Continue until

  cursor

  is absent or results are empty
• Both LIST_SERVICES and LIST_PROJECTS use cursor-based pagination
• Set

  limit

  to max (100) for fewer pagination rounds

Imported: Known Pitfalls

Service IDs:

• Always prefixed with 'srv-' (e.g., 'srv-abcd1234efgh')
• Deploy IDs prefixed with 'dep-' (e.g., 'dep-d2mqkf9r0fns73bham1g')
• Always resolve service names to IDs via LIST_SERVICES

Service Types:

• Must use exact enum values when filtering
• Available types: web_service, static_site, private_service, background_worker, cron_job
• Different service types have different deployment behaviors

Deployment Behavior:

• Deployments are asynchronous; always poll for completion
• Clear cache deploys take longer but resolve stale cache issues
• Failed deploys do not roll back automatically; the previous version stays live
• Concurrent deploy triggers may be queued

Rate Limits:

• Render API has rate limits
• Avoid rapid polling; use 10-30 second intervals
• Bulk operations should be throttled

Response Parsing:

• Response data may be nested under

  data

  key
• Timestamps use ISO 8601 format
• Parse defensively with fallbacks for optional fields

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.