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SKILL verified MIT Self-run

Jira Duplicate Detection

skill-bradtaylorsf-alphaagent-team-jira-duplicate-detection · by bradtaylorsf

Patterns for detecting duplicate Jira tickets before creating new ones and handling existing duplicates.

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Install

$ agentstack add skill-bradtaylorsf-alphaagent-team-jira-duplicate-detection

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No 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.

View the full security report →

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Reliability & compatibility

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7mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

Jira Duplicate Detection Skill

This skill provides patterns for detecting and handling duplicate tickets in Jira to maintain a clean backlog.

Why Duplicate Detection Matters

  • Prevents wasted effort on already-reported issues
  • Consolidates discussion and context
  • Improves reporting accuracy
  • Reduces backlog clutter
  • Ensures fixes address all related reports

Detection Process

Step 1: Extract Key Terms

From the potential new ticket, identify:

  • Core functionality/feature area
  • Error messages or codes
  • Affected components
  • User actions/scenarios

Step 2: Build Search Queries

Create multiple JQL queries with different approaches:

Exact phrase search:

project = PROJ AND text ~ "exact error message"

Keyword combination:

project = PROJ AND text ~ "payment" AND text ~ "timeout"

Component-based:

project = PROJ AND component = Checkout AND text ~ "error"

Reporter-based (same person might report twice):

project = PROJ AND reporter = currentUser() AND created >= -30d

Step 3: Review Results

For each potential match:

  • Compare descriptions in detail
  • Check acceptance criteria overlap
  • Review comments for additional context
  • Consider different descriptions of same issue

Step 4: Present Findings

## Potential Duplicates Found

### High Confidence (likely same issue)
| Key | Summary | Created | Status | Similarity |
|-----|---------|---------|--------|------------|
| PROJ-123 | Payment timeout on large orders | 2024-01-10 | Open | 90% |

### Medium Confidence (possibly related)
| Key | Summary | Created | Status | Similarity |
|-----|---------|---------|--------|------------|
| PROJ-456 | Checkout errors intermittently | 2024-01-05 | In Progress | 60% |

### Recommendation
PROJ-123 appears to describe the same issue. Recommend:
1. Add any new context to PROJ-123 as a comment
2. Link your report as a duplicate
3. Watch PROJ-123 for updates

Search Strategies

Strategy 1: Error Message Search

Best for bugs with specific error text:

project = PROJ AND
text ~ "TypeError: Cannot read property" AND
created >= -90d
ORDER BY created DESC

Strategy 2: Feature Area Search

Best for feature requests:

project = PROJ AND
text ~ "notification" AND text ~ "email" AND
type in (Story, Task, Improvement)
ORDER BY created DESC

Strategy 3: Component + Keyword

Best when you know the affected area:

project = PROJ AND
component = "User Management" AND
text ~ "password reset"
ORDER BY created DESC

Strategy 4: Synonym Search

Search for alternative descriptions:

# If searching for "slow performance"
project = PROJ AND (
  text ~ "slow" OR
  text ~ "performance" OR
  text ~ "latency" OR
  text ~ "timeout" OR
  text ~ "hang"
)

Strategy 5: Recent + Same Area

Best for ongoing issues:

project = PROJ AND
labels in (checkout, payment) AND
created >= -14d
ORDER BY created DESC

Similarity Assessment

High Confidence (80-100%)

Indicators:

  • Same error message/code
  • Same steps to reproduce
  • Same component and behavior
  • Different wording, same issue

Action: Recommend closing as duplicate

Medium Confidence (50-79%)

Indicators:

  • Related symptoms
  • Same area, different specifics
  • Could be same root cause
  • Needs investigation to confirm

Action: Recommend linking as "relates to"

Low Confidence (= -7d AND

status = Open ORDER BY created DESC


### Tickets with "Duplicate" in Title/Description

project = PROJ AND (summary ~ "duplicate" OR description ~ "duplicate")


### Unlinked Similar Tickets

project = PROJ AND component = [Component] AND created >= -30d AND issueLink IS EMPTY ORDER BY created DESC


### Closed as Duplicate (Reference)

project = PROJ AND resolution = Duplicate AND resolved >= -90d ORDER BY resolved DESC


---

## Duplicate Detection Checklist

Before creating a new ticket:

- [ ] Searched for exact error message
- [ ] Searched for key feature terms
- [ ] Checked component-specific tickets
- [ ] Reviewed recent tickets in same area
- [ ] Checked reporter's recent tickets
- [ ] Verified no duplicate exists
- [ ] OR found duplicate and added context there

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [bradtaylorsf](https://github.com/bradtaylorsf)
- **Source:** [bradtaylorsf/alphaagent-team](https://github.com/bradtaylorsf/alphaagent-team)
- **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.