Install
$ agentstack add skill-the-alien-club-claude-workflows-jira-mr ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Jira MR Linker
After a merge request is created, find the corresponding Jira SDS ticket and update it with the MR details. If no ticket exists, create one.
Constants
- Cloud ID:
YOUR_CLOUD_ID - Project Key:
SDS - My Account ID:
YOUR_ACCOUNT_ID
Step 1: Gather Git & MR Context
git branch --show-current
git log dev..HEAD --oneline --no-decorate
git diff dev...HEAD --stat
glab mr view --json url,title,description,state 2>/dev/null
Extract and hold:
- Branch name (strip prefix:
feature/,fix/,refactor/,chore/) - MR URL and MR title
- Commit list (full one-line log)
- Changed files summary (stat output)
- ai_docs context if
ai_docs/[feature-name]/exists, readplan/implementation-plan.mdandimplement/implementation-log.md - Version bump: scan commits and
Chart.yaml/pyproject.toml/package.jsonchanges for version bumps, note old → new version if found
Step 2: Fetch All Open SDS Issues
Load the Atlassian MCP tools and fetch all open issues in the SDS project:
mcp__claude_ai_Atlassian__searchJiraIssuesUsingJql
cloudId: "YOUR_CLOUD_ID"
jql: "project = SDS AND statusCategory != Done ORDER BY updated DESC"
fields: ["summary", "description", "status", "issuetype", "assignee"]
maxResults: 50
Important: The response is large and will be saved to a file. Extract the relevant fields with jq before reasoning:
jq '[.issues.nodes[] | {key: .key, summary: .fields.summary, status: .fields.status.name}]' /path/to/tool-results/file.txt
Step 3: Match Issue via LLM Reasoning
Look at the full list of issues and reason over:
- Branch name (converted from kebab-case: words)
- MR title
- Commit messages
- Changed file paths and components
Matching confidence levels:
- High confidence (single clear match): Inform the user which issue matched and why (1 sentence), then proceed directly to Step 5.
- Low confidence (2–3 plausible candidates): Show a numbered list with title + key (e.g.
SDS-42 - Alpha to staging) and ask the user to pick one or choose "None, create new". - No match found: Ask the user: "I couldn't find a matching Jira ticket. Should I create a new one?"
Never guess silently, if unsure, always ask.
Step 4: Create New Issue (if no match or user requests it)
mcp__claude_ai_Atlassian__createJiraIssue
cloudId: "YOUR_CLOUD_ID"
projectKey: "SDS"
summary: "[Derived from MR title or branch name, human readable]"
issueType: "Story"
description: [See template below]
assignee: "ASSIGNEE_ACCOUNT_ID"
New issue description template:
## What was done
[2-3 sentence summary of the change based on commits and changed files]
## Merge Request
[MR URL]
## Key Changes
[Bullet list of changed components and what changed, derived from git diff --stat]
## Commits
[Full commit list from git log]
Step 5: Update Existing Issue
5a, Add a comment
mcp__claude_ai_Atlassian__addCommentToJiraIssue
cloudId: "YOUR_CLOUD_ID"
issueKey: "[SDS-XX]"
comment: [See template below]
Comment template:
## MR Submitted
**MR**: [MR URL]
**Branch**: `[branch name]`
### What was done
[2-3 sentence summary of the changes, synthesized from commits and changed files, focused on what matters, not just what changed]
### Key Changes
[Bullet list grouped by component, derived from git diff --stat]
### Commits
[git log dev..HEAD --oneline output]
### Version Bump
[Only include this section if a version bump was detected]
`[component]`: `[old version]` → `[new version]`
5b, Transition status
mcp__claude_ai_Atlassian__getTransitionsForJiraIssue
cloudId: "YOUR_CLOUD_ID"
issueKey: "[SDS-XX]"
Known SDS transition IDs (verify with getTransitions if unsure):
"11"→ To Do"21"→ In Progress"2"→ VALIDATION"31"→ Done
If MR(s) are merged: transition to VALIDATION ("2"), Done is set by the product team after manual review. If MR is open/in review: transition to In Progress ("21"). If the current status is already correct: skip this step.
Step 6: Confirm
Show the user:
Jira ticket [SDS-XX] updated
- Title: [issue summary]
- URL: https://YOUR_DOMAIN.atlassian.net/browse/SDS-XX
- Status transitioned to: [new status or "unchanged"]
Error Handling
- MCP tools not available: Ask user to run
/mcpto reconnect Atlassian - glab not available / no MR: Ask user to provide the MR URL manually
- Not on a feature branch: Warn the user, this command is meant to run after an MR is created
- No open issues in SDS: Skip matching, go directly to create flow
- Transition not found: Skip the status update, note it in the confirmation
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: the-alien-club
- Source: the-alien-club/claude-workflows
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.