version: "1.0.1" name: project-jira description: Jira issue tracking and incident management. Use when creating, searching, or updating Jira issues. Supports JQL queries for incident ticket analysis and alert fatigue tracking. allowed-tools: Bash(python *)

Jira Integration

Authentication

IMPORTANT: In proxy/production mode, credentials are injected automatically by a proxy layer. Do NOT check for JIRA_API_TOKEN or JIRA_EMAIL in environment variables in that mode — they won't be visible to you. Just run the scripts directly; authentication is handled transparently.

In direct/local mode the scripts also support self-hosted Jira Data Center via a Personal Access Token (PAT). Set the following env vars (see .env.example for the full block):

• Cloud (atlassian.net): JIRA_URL, JIRA_EMAIL, JIRA_API_TOKEN. Leave JIRA_AUTH_SCHEME/JIRA_API_VERSION unset → defaults to Basic auth + REST API v3 (ADF bodies).
• Data Center (self-hosted): JIRA_URL, JIRA_API_TOKEN, JIRA_AUTH_SCHEME=bearer, JIRA_API_VERSION=2. Omit JIRA_EMAIL. The token is sent as Authorization: Bearer <token> and requests go to /rest/api/2.

Configuration environment variables you CAN check (non-secret):

• JIRA_URL - Jira instance URL (e.g., https://your-company.atlassian.net for Cloud, https://jira.yourcorp.com for Data Center)
• JIRA_API_VERSION - 3 (Cloud, default) or 2 (Data Center)
• JIRA_AUTH_SCHEME - bearer for Data Center PAT auth; unset for Cloud Basic auth

Body format note (v2 vs v3)

Jira Cloud (v3) uses Atlassian Document Format (ADF JSON) for description/body fields. Jira Data Center (v2) uses Jira Wiki Markup — a plain string that supports rich formatting: *bold*, _italic_, ||...|| tables, {code}...{code} blocks, headings, lists, etc. The scripts auto-pick the right format from JIRA_API_VERSION, so callers can pass the same --description / --comment text regardless of flavor; for v2 you may use Wiki Markup syntax to get rich rendering.

Assignee format note (v2 vs v3)

The --assignee arg also adapts to the API version: Cloud (v3) expects the Atlassian accountId; Data Center (v2) expects the username (e.g. jane.doe). The scripts pick the right field key (accountId vs name) from JIRA_API_VERSION.

Available Scripts

All scripts are in .claude/skills/project-jira/scripts/

search_issues.py - Search with JQL

Powerful search using Jira Query Language. Best for finding incident tickets, patterns, action items.

python .claude/skills/project-jira/scripts/search_issues.py --jql "JQL_QUERY" [--max-results N]
 
# Examples:
python .claude/skills/project-jira/scripts/search_issues.py --jql "type = Bug AND status != Done AND created >= -7d"
python .claude/skills/project-jira/scripts/search_issues.py --jql "labels = incident AND created >= -30d" --max-results 50

get_issue.py - Get Issue Details

python .claude/skills/project-jira/scripts/get_issue.py --issue-key PROJ-123

create_issue.py - Create New Issue

python .claude/skills/project-jira/scripts/create_issue.py --project PROJ --summary "Title" --description "Details" [--type Bug] [--priority High] [--labels "incident,p1"]

update_issue.py - Update Existing Issue

python .claude/skills/project-jira/scripts/update_issue.py --issue-key PROJ-123 [--summary "New title"] [--status "In Progress"] [--priority High]

add_comment.py - Add Comment

python .claude/skills/project-jira/scripts/add_comment.py --issue-key PROJ-123 --comment "Investigation findings..."

list_issues.py - List Project Issues

python .claude/skills/project-jira/scripts/list_issues.py --project PROJ [--max-results 20]

JQL Quick Reference

Common Patterns

# Recent bugs
type = Bug AND created >= -7d ORDER BY created DESC
 
# Open incidents
type = Incident AND status != Done
 
# By label
labels IN ("incident", "p1", "alert-tuning")
 
# Text search
summary ~ "high CPU" OR description ~ "timeout"
 
# Stale issues
updated <= -90d AND status != Done

Operators

Investigation Workflow

Incident Ticket Analysis

1. Search for related incidents:
   search_issues.py --jql "type = Incident AND created >= -30d"
 
2. Get details of specific incident:
   get_issue.py --issue-key INC-456
 
3. Add investigation findings:
   add_comment.py --issue-key INC-456 --comment "Root cause: ..."
 
4. Update status:
   update_issue.py --issue-key INC-456 --status "Resolved"