name: gitlab-automation description: "GitLab Automation via Rube MCP workflow skill. Use this skill when the user needs Automate GitLab project management, issues, merge requests, pipelines, branches, and user operations via Rube MCP (Composio). Always search tools first for current schemas and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off." version: "0.0.1" category: cli-automation tags: ["gitlab-automation", "automate", "gitlab", "project", "management", "issues", "merge", "requests"] complexity: advanced risk: caution tools: ["codex-cli", "claude-code", "cursor", "gemini-cli", "opencode"] source: community author: "sickn33" date_added: "2026-04-15" date_updated: "2026-04-25"

GitLab Automation via Rube MCP

Overview

This public intake copy packages plugins/antigravity-awesome-skills-claude/skills/gitlab-automation from https://github.com/sickn33/antigravity-awesome-skills into the native Omni Skills editorial shape without hiding its origin.

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 the external_source block in metadata.json plus ORIGIN.md as the provenance anchor for review.

GitLab Automation via Rube MCP Automate GitLab operations including project management, issue tracking, merge request workflows, CI/CD pipeline monitoring, branch management, and user administration through Composio's GitLab toolkit.

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 GitLab project management, issues, merge requests, pipelines, branches, and user operations via Rube MCP (Composio). 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

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 gitlab
3. If connection is not ACTIVE, follow the returned auth link to complete GitLab OAuth
4. Confirm connection status shows ACTIVE before running any workflows
5. GITLABGETPROJECTS - Find the target project and get its ID [Prerequisite]
6. GITLABLISTPROJECT_ISSUES - List and filter issues for a project [Required]
7. GITLABCREATEPROJECT_ISSUE - Create a new issue [Required for create]

Imported Workflow Notes

Imported: Setup

Get Rube MCP: Add https://rube.app/mcp as an MCP server in your client configuration. No API keys needed — just add the endpoint and it works.

1. Verify Rube MCP is available by confirming RUBE_SEARCH_TOOLS responds
2. Call RUBE_MANAGE_CONNECTIONS with toolkit gitlab
3. If connection is not ACTIVE, follow the returned auth link to complete GitLab OAuth
4. Confirm connection status shows ACTIVE before running any workflows

Imported: Core Workflows

1. Manage Issues

When to use: User wants to create, update, list, or search issues in a GitLab project

Tool sequence:

1. GITLAB_GET_PROJECTS - Find the target project and get its ID [Prerequisite]
2. GITLAB_LIST_PROJECT_ISSUES - List and filter issues for a project [Required]
3. GITLAB_CREATE_PROJECT_ISSUE - Create a new issue [Required for create]
4. GITLAB_UPDATE_PROJECT_ISSUE - Update an existing issue (title, labels, state, assignees) [Required for update]
5. GITLAB_LIST_PROJECT_USERS - Find user IDs for assignment [Optional]

Key parameters:

• id: Project ID (integer) or URL-encoded path (e.g., "my-group/my-project")
• title: Issue title (required for creation)
• description: Issue body text (max 1,048,576 characters)
• labels: Comma-separated label names (e.g., "bug,critical")
• add_labels / remove_labels: Add or remove labels without replacing all
• state: Filter by "all", "opened", or "closed"
• state_event: "close" or "reopen" to change issue state
• assignee_ids: Array of user IDs; use [0] to unassign all
• issue_iid: Internal issue ID within the project (required for updates)
• milestone: Filter by milestone title
• search: Search in title and description
• scope: "created_by_me", "assigned_to_me", or "all"
• page / per_page: Pagination (default per_page: 20)

Pitfalls:

• id accepts either integer project ID or URL-encoded path; wrong IDs yield 4xx errors
• issue_iid is the project-internal ID (shown as #42), different from the global issue ID
• Labels in labels field replace ALL existing labels; use add_labels/remove_labels for incremental changes
• Setting assignee_ids to empty array does NOT unassign; use [0] instead
• updated_at field requires administrator or project/group owner rights

2. Manage Merge Requests

When to use: User wants to list, filter, or review merge requests in a project

Tool sequence:

1. GITLAB_GET_PROJECT - Get project details and verify access [Prerequisite]
2. GITLAB_GET_PROJECT_MERGE_REQUESTS - List and filter merge requests [Required]
3. GITLAB_GET_REPOSITORY_BRANCHES - Verify source/target branches [Optional]
4. GITLAB_LIST_ALL_PROJECT_MEMBERS - Find reviewers/assignees [Optional]

Key parameters:

• id: Project ID or URL-encoded path
• state: "opened", "closed", "locked", "merged", or "all"
• scope: "created_by_me" (default), "assigned_to_me", or "all"
• source_branch / target_branch: Filter by branch names
• author_id / author_username: Filter by MR author
• assignee_id: Filter by assignee (use None for unassigned, Any for assigned)
• reviewer_id / reviewer_username: Filter by reviewer
• labels: Comma-separated label filter
• search: Search in title and description
• wip: "yes" for draft MRs, "no" for non-draft
• order_by: "created_at" (default), "title", "merged_at", "updated_at"
• view: "simple" for minimal fields
• iids[]: Filter by specific MR internal IDs

Pitfalls:

• Default scope is "created_by_me" which limits results; use "all" for complete listings
• author_id and author_username are mutually exclusive
• reviewer_id and reviewer_username are mutually exclusive
• approved filter requires the mr_approved_filter feature flag (disabled by default)
• Large MR histories can be noisy; use filters and moderate per_page values

3. Manage Projects and Repositories

When to use: User wants to list projects, create new projects, or manage branches

Tool sequence:

1. GITLAB_GET_PROJECTS - List all accessible projects with filters [Required]
2. GITLAB_GET_PROJECT - Get detailed info for a specific project [Optional]
3. GITLAB_LIST_USER_PROJECTS - List projects owned by a specific user [Optional]
4. GITLAB_CREATE_PROJECT - Create a new project [Required for create]
5. GITLAB_GET_REPOSITORY_BRANCHES - List branches in a project [Required for branch ops]
6. GITLAB_CREATE_REPOSITORY_BRANCH - Create a new branch [Optional]
7. GITLAB_GET_REPOSITORY_BRANCH - Get details of a specific branch [Optional]
8. GITLAB_LIST_REPOSITORY_COMMITS - View commit history [Optional]
9. GITLAB_GET_PROJECT_LANGUAGES - Get language breakdown [Optional]

Key parameters:

• name / path: Project name and URL-friendly path (both required for creation)
• visibility: "private", "internal", or "public"
• namespace_id: Group or user ID for project placement
• search: Case-insensitive substring search for projects
• membership: true to limit to projects user is a member of
• owned: true to limit to user-owned projects
• project_id: Project ID for branch operations
• branch_name: Name for new branch
• ref: Source branch or commit SHA for new branch creation
• order_by: "id", "name", "path", "created_at", "updated_at", "star_count", "last_activity_at"

Pitfalls:

• GITLAB_GET_PROJECTS pagination is required for complete coverage; stopping at first page misses projects
• Some responses place items under data.details; parse the actual returned list structure
• Most follow-up calls depend on correct project_id; verify with GITLAB_GET_PROJECT first
• Invalid branch_name/ref/sha causes client errors; verify branch existence via GITLAB_GET_REPOSITORY_BRANCHES first
• Both name and path are required for GITLAB_CREATE_PROJECT

4. Monitor CI/CD Pipelines

When to use: User wants to check pipeline status, list jobs, or monitor CI/CD runs

Tool sequence:

1. GITLAB_GET_PROJECT - Verify project access [Prerequisite]
2. GITLAB_LIST_PROJECT_PIPELINES - List pipelines with filters [Required]
3. GITLAB_GET_SINGLE_PIPELINE - Get detailed info for a specific pipeline [Optional]
4. GITLAB_LIST_PIPELINE_JOBS - List jobs within a pipeline [Optional]

Key parameters:

• id: Project ID or URL-encoded path
• status: Filter by "created", "waiting_for_resource", "preparing", "pending", "running", "success", "failed", "canceled", "skipped", "manual", "scheduled"
• scope: "running", "pending", "finished", "branches", "tags"
• ref: Branch or tag name
• sha: Specific commit SHA
• source: Pipeline source (use "parent_pipeline" for child pipelines)
• order_by: "id" (default), "status", "ref", "updated_at", "user_id"
• created_after / created_before: ISO 8601 date filters
• pipeline_id: Specific pipeline ID for job listing
• include_retried: true to include retried jobs (default false)

Pitfalls:

• Large pipeline histories can be noisy; use status, ref, and date filters to narrow results
• Use moderate per_page values to keep output manageable
• Pipeline job scope accepts single status string or array of statuses
• yaml_errors: true returns only pipelines with invalid configurations

5. Manage Users and Members

When to use: User wants to find users, list project members, or check user status

Tool sequence:

1. GITLAB_GET_USERS - Search and list GitLab users [Required]
2. GITLAB_GET_USER - Get details for a specific user by ID [Optional]
3. GITLAB_GET_USERS_ID_STATUS - Get user status message and availability [Optional]
4. GITLAB_LIST_ALL_PROJECT_MEMBERS - List all project members (direct + inherited) [Required for member listing]
5. GITLAB_LIST_PROJECT_USERS - List project users with search filter [Optional]

Key parameters:

• search: Search by name, username, or public email
• username: Get specific user by username
• active / blocked: Filter by user state
• id: Project ID for member listing
• query: Filter members by name, email, or username
• state: Filter members by "awaiting" or "active" (Premium/Ultimate)
• user_ids: Filter by specific user IDs

Pitfalls:

• Many user filters (admins, auditors, extern_uid, two_factor) are admin-only
• GITLAB_LIST_ALL_PROJECT_MEMBERS includes direct, inherited, and invited members
• User search is case-insensitive but may not match partial email domains
• Premium/Ultimate features (state filter, seat info) are not available on free plans

Imported: Prerequisites

• Rube MCP must be connected (RUBE_SEARCH_TOOLS available)
• Active GitLab connection via RUBE_MANAGE_CONNECTIONS with toolkit gitlab
• Always call RUBE_SEARCH_TOOLS first to get current tool schemas

Examples

Example 1: Ask for the upstream workflow directly

Use @gitlab-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 @gitlab-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 @gitlab-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 @gitlab-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/gitlab-automation, fails to mention provenance, or does not use any copied source files at all. Solution: Re-open metadata.json, ORIGIN.md, and the most relevant copied upstream files. Check the external_source block first, then restate the provenance before continuing.

Problem: The imported workflow feels incomplete during review

Symptoms: Reviewers can see the generated SKILL.md, but they cannot quickly tell which references, examples, or scripts matter for the current task. Solution: Point at the exact copied references, examples, scripts, or assets that justify the path you took. If the gap is still real, record it in the PR instead of hiding it.

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

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.

Imported Reference Notes

Imported: Quick Reference

Imported: Common Patterns

ID Resolution

GitLab uses two identifier formats for projects:

• Numeric ID: Integer project ID (e.g., 123)
• URL-encoded path: Namespace/project format (e.g., "my-group%2Fmy-project" or "my-group/my-project")
• Issue IID vs ID: issue_iid is the project-internal number (#42); the global id is different
• User ID: Numeric; resolve via GITLAB_GET_USERS with search or username

Pagination

GitLab uses offset-based pagination:

• Set page (starting at 1) and per_page (1-100, default 20)
• Continue incrementing page until response returns fewer items than per_page or is empty
• Total count may be available in response headers (X-Total, X-Total-Pages)
• Always paginate to completion for accurate results

URL-Encoded Paths

When using project paths as identifiers:

• Forward slashes must be URL-encoded: my-group/my-project becomes my-group%2Fmy-project
• Some tools accept unencoded paths; check schema for each tool
• Prefer numeric IDs when available for reliability

Imported: Known Pitfalls

ID Formats

• Project id field accepts both integer and string (URL-encoded path)
• Issue issue_iid is project-scoped; do not confuse with global issue ID
• Pipeline IDs are project-scoped integers
• User IDs are global integers across the GitLab instance

Rate Limits

• GitLab has per-user rate limits (typically 300-2000 requests/minute depending on plan)
• Large pipeline/issue histories should use date and status filters to reduce result sets
• Paginate responsibly with moderate per_page values

Parameter Quirks

• labels field replaces ALL labels; use add_labels/remove_labels for incremental changes
• assignee_ids: [0] unassigns all; empty array does nothing
• scope defaults vary: "created_by_me" for MRs, "all" for issues
• author_id and author_username are mutually exclusive in MR filters
• Date parameters use ISO 8601 format: "2024-01-15T10:30:00Z"

Plan Restrictions

• Some features require Premium/Ultimate: epic_id, weight, iteration_id, approved_by_ids, member state filter
• Admin-only features: user management filters, updated_at override, custom attributes
• The mr_approved_filter feature flag is disabled by default

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.