Triage Issue
Keywords
triage bug, check duplicate, is this a duplicate, search for similar issues, create bug ticket, file a bug, report this error, triage this error, bug report, error message, similar issues, duplicate bug, who fixed this, has this been reported, search bugs, find similar bugs, create issue, file issue
Overview
Automatically triage bug reports and error messages by searching Jira for duplicates, identifying similar past issues, and helping create well-structured bug tickets or add context to existing issues. This skill eliminates manual duplicate checking and ensures bugs are properly documented with relevant historical context.
Use this skill when: Users need to triage error messages, bug reports, or issues to determine if they're duplicates and take appropriate action.
Workflow
Follow this 6-step process to effectively triage issues:
Step 1: Extract Key Information
Analyze the bug report or error message to identify search terms.
Extract These Elements:
Error signature:
- Error type or exception name (e.g., "NullPointerException", "TimeoutError")
- Error code or status (e.g., "500", "404", "ERR_CONNECTION_REFUSED")
- Specific error message text (key phrases, not full stack trace)
Context:
- Component or system affected (e.g., "authentication", "payment gateway", "API")
- Environment (e.g., "production", "staging", "mobile app")
- User actions leading to error (e.g., "during login", "when uploading file")
Symptoms:
- Observable behavior (e.g., "page blank", "infinite loading", "data not saving")
- Impact (e.g., "users can't login", "payments failing")
Example Extractions:
Input: "Users getting 'Connection timeout' error when trying to login on mobile app" Extracted:
- Error: "Connection timeout"
- Component: "login", "mobile app"
- Symptom: "can't login"
Input: "NullPointerException in PaymentProcessor.processRefund() line 245" Extracted:
- Error: "NullPointerException"
- Component: "PaymentProcessor", "refund"
- Location: "processRefund line 245"
Step 2: Search for Duplicates
Search Jira using extracted keywords to find similar or duplicate issues.
Search Strategy:
Execute multiple targeted searches to catch duplicates that may use different wording:
Search 1: Error-focused
Search 2: Component-focused
Search 3: Symptom-focused
Search Tips:
Use key terms only:
- ✅ "timeout login mobile"
- ✅ "NullPointerException PaymentProcessor refund"
- ❌ "Users are getting a connection timeout error when..." (too verbose)
Search recent first:
- Order by
created DESCorupdated DESCto find recent similar issues - Recent bugs are more likely to be relevant duplicates
Don't over-filter:
- Include resolved issues (might have been reopened or regression)
- Search across all bug statuses to find fix history
Step 3: Analyze Search Results
Evaluate the search results to determine if this is a duplicate or a new issue.
Duplicate Detection:
High confidence duplicate (>90%):
- Exact same error message in summary or description
- Same component + same error type
- Recent issue (< 30 days) with identical symptoms
- Action: Strongly recommend adding comment to existing issue
Likely duplicate (70-90%):
- Similar error with slight variations
- Same component but different context
- Resolved issue with same root cause
- Action: Present as possible duplicate, let user decide
Possibly related (40-70%):
- Similar symptoms but different error
- Same component area but different specific error
- Old issue (> 6 months) that might be unrelated
- Action: Mention as potentially related
Likely new issue (<40%):
- No similar issues found
- Different error signature and component
- Unique symptom or context
- Action: Recommend creating new issue
Check Fix History:
If similar resolved issues are found:
Extract relevant information:
- Who fixed it? (assignee on resolved issues)
- How was it fixed? (resolution comment or linked PRs)
- When was it fixed? (resolution date)
- Has it regressed? (any reopened issues)
Present this context to help with triage decision.
Step 4: Present Findings to User
CRITICAL: Always present findings and wait for user decision before taking any action.
Format for Likely Duplicate:
Format for Possibly Related:
Format for No Duplicates:
Step 5: Execute User Decision
Based on user's choice, either add a comment or create a new issue.
Option A: Add Comment to Existing Issue
If user wants to add to existing issue:
Fetch the full issue first to understand context:
Then add the comment:
Comment Structure:
Option B: Create New Issue
If user wants to create new issue:
First, check available issue types. listJiraProjectIssueTypesMetadata is not a primary tool,
so run it through execute (see Calling non-primary tools):
Determine appropriate issue type:
- For bugs/errors → Use "Bug" (if available)
- For issues without errors → Use "Task" or "Issue"
- Fallback → First available non-Epic, non-Subtask type
Create the issue:
Summary Format:
Use the pattern: [Component] [Error Type] - [Brief Symptom]
Examples:
- ✅ "Mobile Login: Connection timeout during authentication"
- ✅ "Payment API: NullPointerException in refund processing"
- ✅ "Dashboard: Infinite loading on reports page"
- ❌ "Error in production" (too vague)
- ❌ "Users experiencing issues" (not specific)
Description Structure:
[Error message or stack trace]
Step 6: Provide Summary
After taking action, confirm what was done.
If Comment Added:
If New Issue Created:
Edge Cases & Troubleshooting
Multiple Potential Duplicates
If you find 3+ very similar issues:
Unclear Project Context
If user doesn't specify which project:
Insufficient Information
If the bug report lacks critical details:
Resolved Regression
If you find a resolved issue that matches:
Custom Required Fields
If creating an issue fails due to required fields:
- Check what fields are required.
getJiraIssueTypeMetaWithFieldsis not a primary tool, so run it throughexecute:
- Ask user for values:
- Retry with additional fields:
Tips for Effective Triage
For Search:
Do: ✅ Use multiple search queries with different angles ✅ Include both open and resolved issues in search ✅ Search for error signatures and symptoms separately ✅ Look at recent issues first (last 30-90 days) ✅ Check for patterns (multiple reports of same thing)
Don't: ❌ Search with entire error messages (too specific) ❌ Only search open issues (miss fix history) ❌ Ignore resolved issues (miss regressions) ❌ Use too many keywords (reduces matches)
For Issue Creation:
Do: ✅ Write clear, specific summaries with component names ✅ Include complete error messages in code blocks ✅ Add environment and impact details ✅ Reference related issues found during search ✅ Use "Bug" issue type for actual bugs
Don't: ❌ Create vague summaries like "Error in production" ❌ Paste entire stack traces in summary (use description) ❌ Skip reproduction steps ❌ Forget to mention user impact ❌ Hard-code issue type without checking availability
For Duplicate Assessment:
High Confidence Duplicates:
- Exact same error + same component + recent (< 30 days)
- Same root cause identified
Likely Different Issues:
- Different error signatures
- Different components/systems
- Significantly different contexts
When Unsure:
- Present both options to user
- Lean toward creating new issue (can be closed as duplicate later)
- Linking issues is better than hiding information
Examples
Example 1: Clear Duplicate Found
User Input:
Process:
- Extract: "Connection timeout", "login", "iOS"
- Search: Find PROJ-456 (open, 2 days ago) with exact same error
- Analyze: 95% match - same error, component, symptom
- Present: Show PROJ-456 as duplicate, recommend adding comment
- Execute: User confirms, add comment with iOS-specific details
- Confirm: Comment added to PROJ-456
Output:
Example 2: New Issue with Related Context
User Input:
Process:
- Extract: "NullPointerException", "PaymentProcessor", "processRefund", "line 245"
- Search: Find PROJ-789 (resolved, 3 weeks ago) about payment errors, but different line
- Analyze: Related component but different specific error
- Present: No duplicates, found related issue, recommend new ticket
- Execute: User confirms, create new Bug with context
- Confirm: PROJ-890 created
Output:
Example 3: Possible Regression
User Input:
Process:
- Extract: "Upload failed", "5MB", "file upload"
- Search: Find PROJ-234 (resolved 2 months ago) - exact same issue
- Analyze: Was fixed but now happening again
- Present: Possible regression, recommend new issue linked to old one
- Execute: Create new issue, link to PROJ-234 as "may be caused by"
- Confirm: PROJ-891 created with regression context
Output:
When NOT to Use This Skill
This skill is for triaging bugs and errors only. Do NOT use for:
❌ Feature requests (use spec-to-backlog) ❌ General task creation (use capture-tasks-from-meeting-notes) ❌ Searching for information (use search-company-knowledge) ❌ Generating status reports (use generate-status-report)
Use this skill specifically for: ✅ "Is this a duplicate bug?" ✅ "Triage this error message" ✅ "Has this been reported before?" ✅ "Create a bug ticket for this"
Quick Reference
Primary workflow: Extract → Search → Analyze → Present → Execute → Confirm
Search tool: searchJiraIssuesUsingJql(cloudId, jql, fields, maxResults)
Action tools:
addOrEditJiraIssueComment(cloudId, issueIdOrKey, commentBody)- Add to existingcreateJiraIssue(cloudId, projectKey, issueType, summary, description)- Create new
Issue type: Always prefer "Bug" for error reports, check with
executeRead(name="listJiraProjectIssueTypesMetadata", ...) (not a primary tool)
Remember:
- Multiple searches catch more duplicates
- Present findings before acting
- Include error details and context
- Reference related issues
- Use "Bug" issue type when available
Calling non-primary tools
The Atlassian Rovo MCP server exposes only a small set of primary tools directly in your tool list. Everything else lives in the catalog and is reached through meta-tools:
discover— describe the goal in natural language when you do not know an operation's name. It returns the exactnameandinputsto use. Do not calldiscoverfor an operation you already have as a primary tool.- An execute-family tool — run a catalog operation by name. Check your tool list: some clients
expose a single
execute, others exposeexecuteRead/executeWrite/executeDestructiveand expect the tier matching the operation. The arguments are identical:
Rules that matter:
cloudIdis a top-level argument, a sibling ofnameandinputs— never put it insideinputs. Operations declaredomitCloudId(such asgetContentFormatGuide) take nocloudId.inputsis a flat object. The server routes each parameter to path, query, or body itself.- Use the exact parameter names from the live tool schema. Unrecognized parameters are dropped
rather than reported as an error, so a wrong name fails silently — the call succeeds and your
value is simply ignored. When in doubt, read the schema or
discoverresult first. - If the call reports an unknown operation, run
discoverwith different keywords and use the name it returns rather than guessing.


