--- name: atlassianapi description: Atlassian API integration for Jira and Confluence automation. Activate for Atlassian REST APIs, webhooks, and platform integration. allowed-tools: - Bash - Read - Write - Edit - Glob - Grep --- # Atlassian API Skill Provides comprehensive Atlassian API integration capabilities for the Golden Armada AI Agent Fleet Platform. ## When to Use This Skill Activate this skill when working with: - Jira REST API integration - Confluence REST API integration - Atlassian webhooks - Automation and scripting - Cross-platform synchronization ## Authentication ### API Token (Cloud) \`\`\`python import requests from requests.auth import HTTPBasicAuth auth = HTTPBasicAuth('email@example.com', 'API_TOKEN') headers = { 'Accept': 'application/json', 'Content-Type': 'application/json' } base_url = 'https://your-domain.atlassian.net' \`\`\` ### Python Client Library \`\`\`python from atlassian import Jira, Confluence jira = Jira( url='https://your-domain.atlassian.net', username='email@example.com', password='API_TOKEN', cloud=True ) confluence = Confluence( url='https://your-domain.atlassian.net', username='email@example.com', password='API_TOKEN', cloud=True ) \`\`\` ## Jira REST API ### Issues \`\`\`python # Create issue response = requests.post( f'{base_url}/rest/api/3/issue', auth=auth, headers=headers, json={ 'fields': { 'project': {'key': 'GA'}, 'summary': 'Implement agent monitoring', 'description': { 'type': 'doc', 'version': 1, 'content': [ { 'type': 'paragraph', 'content': [ {'type': 'text', 'text': 'Description text'} ] } ] }, 'issuetype': {'name': 'Story'}, 'priority': {'name': 'High'}, 'labels': ['backend', 'monitoring'] } } ) # Get issue response = requests.get( f'{base_url}/rest/api/3/issue/GA-123', auth=auth, headers=headers ) issue = response.json() # Update issue response = requests.put( f'{base_url}/rest/api/3/issue/GA-123', auth=auth, headers=headers, json={ 'fields': { 'summary': 'Updated summary' } } ) # Transition issue # First, get available transitions transitions = requests.get( f'{base_url}/rest/api/3/issue/GA-123/transitions', auth=auth, headers=headers ).json() # Then transition requests.post( f'{base_url}/rest/api/3/issue/GA-123/transitions', auth=auth, headers=headers, json={'transition': {'id': '31'}} # ID from available transitions ) # Add comment requests.post( f'{base_url}/rest/api/3/issue/GA-123/comment', auth=auth, headers=headers, json={ 'body': { 'type': 'doc', 'version': 1, 'content': [ { 'type': 'paragraph', 'content': [ {'type': 'text', 'text': 'Comment text'} ] } ] } } ) \`\`\` ### JQL Search \`\`\`python # Search issues jql = 'project = GA AND status = "In Progress" ORDER BY created DESC' response = requests.get( f'{base_url}/rest/api/3/search', auth=auth, headers=headers, params={ 'jql': jql, 'maxResults': 50, 'fields': 'summary,status,assignee,priority' } ) results = response.json() for issue in results['issues']: print(f"{issue['key']}: {issue['fields']['summary']}") \`\`\` ### Sprints and Boards \`\`\`python # Get boards boards = requests.get( f'{base_url}/rest/agile/1.0/board', auth=auth, headers=headers ).json() # Get sprints for a board board_id = 1 sprints = requests.get( f'{base_url}/rest/agile/1.0/board/{board_id}/sprint', auth=auth, headers=headers ).json() # Get issues in sprint sprint_id = 10 issues = requests.get( f'{base_url}/rest/agile/1.0/sprint/{sprint_id}/issue', auth=auth, headers=headers ).json() # Move issues to sprint requests.post( f'{base_url}/rest/agile/1.0/sprint/{sprint_id}/issue', auth=auth, headers=headers, json={'issues': ['GA-123', 'GA-124']} ) \`\`\` ## Confluence REST API ### Pages \`\`\`python # Create page response = requests.post( f'{base_url}/wiki/rest/api/content', auth=auth, headers=headers, json={ 'type': 'page', 'title': 'Agent Architecture', 'space': {'key': 'GA'}, 'body': { 'storage': { 'value': '

Overview

Content here...

', 'representation': 'storage' } } } ) # Get page page = requests.get( f'{base_url}/wiki/rest/api/content/12345', auth=auth, headers=headers, params={'expand': 'body.storage,version'} ).json() # Update page requests.put( f'{base_url}/wiki/rest/api/content/12345', auth=auth, headers=headers, json={ 'type': 'page', 'title': 'Updated Title', 'body': { 'storage': { 'value': '

Updated Content

', 'representation': 'storage' } }, 'version': {'number': page['version']['number'] + 1} } ) # Search pages results = requests.get( f'{base_url}/wiki/rest/api/content/search', auth=auth, headers=headers, params={'cql': 'space = GA AND text ~ "agent"'} ).json() \`\`\` ## Webhooks ### Jira Webhook Handler \`\`\`python from flask import Flask, request app = Flask(__name__) @app.route('/webhooks/jira', methods=['POST']) def handle_jira_webhook(): event = request.json event_type = event.get('webhookEvent') if event_type == 'jira:issue_created': issue = event['issue'] handle_issue_created(issue) elif event_type == 'jira:issue_updated': issue = event['issue'] changelog = event.get('changelog', {}) handle_issue_updated(issue, changelog) elif event_type == 'sprint_started': sprint = event['sprint'] handle_sprint_started(sprint) return {'status': 'ok'} def handle_issue_created(issue): print(f"Issue created: {issue['key']}") def handle_issue_updated(issue, changelog): for item in changelog.get('items', []): if item['field'] == 'status': print(f"Issue {issue['key']} status changed: {item['fromString']} -> {item['toString']}") \`\`\` ### Register Webhook \`\`\`python # Register Jira webhook webhook = requests.post( f'{base_url}/rest/webhooks/1.0/webhook', auth=auth, headers=headers, json={ 'name': 'Golden Armada Integration', 'url': 'https://your-app.com/webhooks/jira', 'events': [ 'jira:issue_created', 'jira:issue_updated', 'sprint_started', 'sprint_closed' ], 'filters': { 'issue-related-events-section': 'project = GA' } } ) \`\`\` ## Automation Recipes ### Sync GitHub PR to Jira \`\`\`python async def sync_pr_to_jira(pr_data: dict): # Extract Jira issue key from branch name (e.g., feature/GA-123-add-feature) branch = pr_data['head']['ref'] match = re.search(r'(GA-\d+)', branch) if not match: return issue_key = match.group(1) # Add comment with PR link jira.add_comment( issue_key, f"PR opened: [{pr_data['title']}]({pr_data['html_url']})" ) # Transition to "In Review" if PR is ready if not pr_data.get('draft'): jira.transition_issue(issue_key, 'In Review') \`\`\` ### Auto-create Release Notes \`\`\`python def generate_release_notes(version: str, project_key: str = 'GA'): # Get all issues in the release jql = f'project = {project_key} AND fixVersion = "{version}" ORDER BY issuetype' issues = jira.jql(jql)['issues'] # Group by type features = [i for i in issues if i['fields']['issuetype']['name'] == 'Story'] bugs = [i for i in issues if i['fields']['issuetype']['name'] == 'Bug'] # Generate markdown notes = f"# Release {version}\n\n" notes += "## Features\n" for issue in features: notes += f"- [{issue['key']}] {issue['fields']['summary']}\n" notes += "\n## Bug Fixes\n" for issue in bugs: notes += f"- [{issue['key']}] {issue['fields']['summary']}\n" # Create Confluence page confluence.create_page( space='GA', title=f'Release Notes - {version}', body=markdown_to_confluence(notes), parent_id=RELEASE_NOTES_PARENT_ID ) \`\`\` ## Golden Armada Commands \`\`\`bash # Sync with Atlassian /atlassian-sync --jira --confluence # Create Jira issue from template /jira-create --type story --template agent-feature # Update Confluence docs from code /confluence-publish --from docs/ --space GA \`\`\`