gitlab-mr
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- Author repo skills-registry
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- 88 / 100 · community maintained
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- Python
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- Read-only
- Write / modify
- Shell exec
- Network behavior
- External requests
- Install commands
- 26 variants
Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.
Heads up: 未限定 allowed-tools,默认拥有全部工具权限。
---
name: gitlab-mr
description: Create and manage GitLab Merge Requests on gitlab.example.com repositories, driving them to a tr…
category: documentation
runtime: Python
---
# gitlab-mr output preview
## PART A: Task fit
- Use case: Create and manage GitLab Merge Requests on gitlab.example.com repositories, driving them to a truly mergeable state. Automatically generates User Story documentation, constructs MR descriptions (with blob links), pushes and creates MRs, polls CI pipeline status via API and fixes failures, resolves merge conflicts, and loops until all MR checks pass with no conflicts. Triggers when the user says "submit MR", "create MR", "push and create MR", "merge to main", or needs to submit the current branch for review. Use when this capability is needed..
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “Rules / Execution Flow / Step 1: Check Prerequisites” and do not present inference as author intent.
## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “Create and manage GitLab Merge Requests on gitlab.example.com repositories, driving them to a truly mergeable state. Automatically generates User Story documentation, constructs MR descriptions (with blob links), pushes and creates MRs, polls CI pipeline status via API and fixes failures, resolves merge conflicts, and loops until all MR checks pass with no conflicts. Triggers when the user says "submit MR", "create MR", "push and create MR", "merge to main", or needs to submit the current branch for review. Use when this capability is needed.”.
- **02** When the source has headings, the agent prioritizes “Rules / Execution Flow / Step 1: Check Prerequisites” so the result follows the author’s structure.
- **03** Typical output includes task judgment, concrete steps, required commands or file edits, validation, and follow-up options.
- **04** Risk context follows the fingerprint: read files, write/modify files, run shell commands; may access external network resources; usually needs no extra API key.
## Running Rules
- read files, write/modify files, run shell commands; may access external network resources; usually needs no extra API key.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options. The source does not require a stable slash command. After installation, invoke the skill by name and describe the task.
Name target files or source material, expected output, forbidden changes, and whether network or shell access is allowed. Permission fingerprint: read files, write/modify files, run shell commands.
Start with a small task and check whether the result follows “Rules / Execution Flow / Step 1: Check Prerequisites”. Inspect diffs, logs, previews, or tests before expanding scope.
Confirm the final output includes a concrete result, evidence, and next action. If it stays generic, tighten inputs, boundaries, and acceptance criteria.
---
name: gitlab-mr
description: Create and manage GitLab Merge Requests on gitlab.example.com repositories, driving them to a tr…
category: documentation
source: tomevault-io/skills-registry
---
# gitlab-mr
## When to use
- Create and manage GitLab Merge Requests on gitlab.example.com repositories, driving them to a truly mergeable state. A…
- Use it when the task has clear inputs, repeatable steps, and validation criteria.
## What to provide
- Target material, scope, expected result, and forbidden changes.
- Whether network, commands, file writes, or external services are allowed.
## Execution rules
- Organize steps around “Rules / Execution Flow / Step 1: Check Prerequisites” and keep inference separate from source facts.
- read files, write/modify files, run shell commands; may access external network resources; usually needs no extra API key.
- Validate with a small sample before expanding the task.
## Output requirements
- Return the deliverable, key evidence, validation method, and next action.
- Mark missing information as unknown; do not invent commands, platforms, or dependencies. The author source anchors workflow facts; repository files anchor sources and commands; Fluxly only adds fit, limitations, and quality judgment.
skill "gitlab-mr" {
input -> user goal + target files + boundaries + acceptance criteria
context -> Rules / Execution Flow / Step 1: Check Prerequisites
rules -> SKILL.md triggers / order / output contract
runtime -> Python | read files, write/modify files, run shell commands | may access external network resources
guardrails -> usually needs no extra API key + small-sample validation + diff/log review
output -> copyable result + checklist + next iteration
} GitLab MR
Create an MR and drive it to a truly mergeable state (all CI green + no merge conflicts). Core principle: write documentation first, then submit the MR, verify with APIs, and loop through fixes until the MR is mergeable.
Prerequisite: The current repository's remote points to gitlab.example.com, and glab CLI is installed.
Rules
- Never use the
skip-doc-checklabel — every MR must have a real documentation link - User Story must be relevant to the MR changes — CI checks relevance (
check:mr-us-relevance); irrelevant links will be rejected - Blob links must point to pushed files — the branch name and file path in the link must exist on the remote
- Verify with APIs, don't guess — confirm results at every step using
glabcommands
Execution Flow
Step 1: Check Prerequisites
# Confirm remote points to gitlab.example.com
git remote get-url origin
# Confirm current branch is not main/master
git branch --show-current
# Confirm no uncommitted changes
git status
If there are uncommitted changes, commit or stash them first.
Step 2: Ensure Documentation Exists
The MR description must contain documentation links. CI performs two checks:
check:mr-documentation: whether the link format is validcheck:mr-us-relevance: whether the linked document is relevant to the MR changes
Prefer GitLab blob links pointing to documentation files within the repository.
2a: Find or Create Documentation
Check whether related documentation already exists in the repository:
# Look for potentially related documents
ls docs/plans/ docs/04-user-stories/ 2>/dev/null
If no related documentation exists, create one for this MR:
- Place the document at
docs/plans/YYYY-MM-DD-<feature-name>.md(design doc) ordocs/04-user-stories/<feature-name>.md(User Story) - The document content must cover the core changes in this MR (otherwise the relevance check will fail)
- The document does not need to be long, but must describe: what was done and why
2b: Commit and Push Documentation
git add docs/plans/<doc-file>.md
git commit -m "docs: add <feature> design document"
Step 3: Push the Branch
git push -u origin <branch-name>
Step 4: Create or Update MR
Check if an MR already exists
glab mr list --source-branch <branch-name>
If no MR exists, create one
Analyze all commits in git log main..HEAD to write the MR title and description.
Blob link format: https://gitlab.example.com/<group>/<project>/-/blob/<branch>/<filepath>
<group>/<project>parsed fromgit remote get-url origin<branch>is the current branch name<filepath>is the in-repo path to the document
glab mr create \
--title "<concise title, <70 chars>" \
--description "$(cat <<'EOF'
## Change Summary
<Summary based on all commits, 2-3 bullet points>
## Related Documentation
- User Story (required): https://gitlab.example.com/<group>/<project>/-/blob/<branch>/docs/plans/<doc>.md
- Tech Design: <fill if available, otherwise remove this line>
## Change Type
- [x] <corresponding type>
EOF
)" \
--push
If an MR exists but the description lacks documentation links
glab mr update <mr-id> --description "$(cat <<'EOF'
<complete description with blob links>
EOF
)"
Step 5: Wait and Check Pipeline
After creating/updating the MR, wait for the pipeline to trigger and complete.
# Wait for pipeline to start (usually takes a few seconds after push)
sleep 5
# Check pipeline status
glab ci status
If the pipeline is still running, wait and check again:
sleep 20
glab ci status
Step 6: Handle Failed Jobs
If the pipeline fails, check which specific job failed:
# Get status of all jobs in the pipeline
glab api "projects/:id/merge_requests/<mr-iid>/pipelines" | python3 -c "
import sys,json
pipelines = json.load(sys.stdin)
if pipelines:
pid = pipelines[0]['id']
print(f'Latest pipeline: {pid}, status: {pipelines[0][\"status\"]}')
"
# View failed job logs
glab api "projects/:id/pipelines/<pipeline-id>/jobs" | python3 -c "
import sys,json
for j in json.load(sys.stdin):
if j['status'] == 'failed':
print(f'FAILED: {j[\"name\"]} (id={j[\"id\"]})')
"
# Get the tail of a failed job's log
glab api "projects/:id/jobs/<job-id>/trace" 2>&1 | tail -30
Common Failures and Fixes
| Failed Job | Cause | Fix |
|---|---|---|
check:mr-documentation |
MR description missing a valid documentation link | glab mr update <id> --description "..." to add blob links |
check:mr-us-relevance |
Document content is not relevant to MR changes | Edit the document to cover the MR's core changes, commit and push |
validate:skills |
SKILL.md format is non-compliant | Run uv run python scripts/validate.py --skills to fix locally |
validate:security |
Security scan detected an issue | Run uv run python scripts/validate.py --security to fix locally |
| Merge conflict | Branch conflicts with main | git fetch origin main && git rebase origin/main, resolve conflicts and force push |
After fixing:
- If the issue was in the MR description (
check:mr-documentation): update the description then retry the job - If the issue was in code/docs: commit the fix, push, and a new pipeline will trigger automatically
# Retry a failed job
glab ci retry <job-id>
# Or push a new commit to trigger a new pipeline
git push
Step 7: Confirm MR Is Mergeable
After CI passes, also confirm the MR has no merge conflicts. CI passing does not mean mergeable.
glab ci status # Confirm CI is all green
glab mr view <branch> # Confirm no merge conflict
If there are merge conflicts, resolve them (rebase onto main), force push, and wait for the new CI to pass.
Loop through Steps 5-7 until both conditions are met: CI all green + no conflicts.
Once the MR is truly mergeable, report the MR URL to the user.
Examples
Full Workflow Example
# Create MR
glab mr create --title "feat: add retry logic" --description "..." --push
# Loop until CI passes
glab ci status # -> if failed, check logs, fix -> check again
# After CI passes, check merge status
glab mr view feat/add-retry-logic
# -> conflicts? rebase to resolve -> force push -> wait for new CI
# Final confirmation: CI all green + no conflicts -> report MR URL
Bad/Good Examples
Bad — Declaring done just because CI passed
glab ci status # -> success
# -> "MR !42 is created, CI passed!" <- but there's actually a merge conflict, cannot merge
Bad — Posting an irrelevant link
glab mr create --description "User Story: .../README.md" # unrelated to changes, CI will reject
Good — Driving to a truly mergeable state
# Create MR -> poll CI and fix failures -> check merge status -> resolve conflicts -> confirm mergeable
Notes
- Branch names containing
/(e.g.,feat/my-branch) are correctly handled by GitLab in blob links glab ci statusshows the status of all jobs in the latest pipeline- If the pipeline doesn't trigger for a long time, you can manually run:
glab ci run - After updating the MR description, you need to retry the failed job or wait for a new pipeline
Source: addxai/enterprise-harness-engineering — distributed by TomeVault.
Decide Fit First
Design Intent
How To Use It
Boundaries And Review