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aim-jira-search

Search Jira issues and comments semantically in Qdrant with filters.

41|5|Updated Jan 15, 2026
Search Tags:#project management#semantic search#search#issue tracking#jira#qdrant
One-click install
npx skills add https://github.com/Hidden-History/ai-memory --skill aim-jira-search
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: aim-jira-search
Source: https://github.com/Hidden-History/ai-memory/tree/main/.claude/skills/aim-jira-search
Command: npx skills add https://github.com/Hidden-History/ai-memory --skill aim-jira-search

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the challenge of quickly finding specific information within Jira issues and comments, especially when exact keywords are unknown or when needing to understand context through semantic meaning.

Core Features & Use Cases

  • Semantic Search: Find Jira content based on meaning, not just keywords.
  • Advanced Filtering: Narrow down searches by project, issue type, status, priority, and author.
  • Issue Lookup: Retrieve an issue along with all its associated comments.
  • Use Case: Quickly find all "authentication bugs" related to the "BMAD" project that are marked as "Done", or retrieve all comments for a specific issue like "BMAD-42".

Quick Start

Search for Jira issues and comments related to "database performance".

Frequently Asked Questions about aim-jira-search

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I search Jira issues semantically instead of using exact keywords?▼

You can filter Jira issues semantically by project keys, issue types, statuses, priorities, and author information. The Skill uses specific Qdrant payload fields to narrow down semantic similarity matches precisely.

Can I retrieve all comments associated with a specific Jira issue?▼

You need Jira issues and comments indexed in a Qdrant vector database. The Skill queries this vector database using specific payload fields to perform semantic similarity matching and precise filtering.

What is the best way to find Jira bugs related to a topic in a specific project?▼

For semantic search to work, Jira issues and comments must be stored in a Qdrant vector database. This Skill relies on Qdrant payload fields for precise filtering and similarity matching, requiring prior data ingestion.

How does semantic search handle Jira issue filtering by author and priority?▼

Yes, Qdrant supports semantic search and filtering of Jira issues. This Skill enables targeted retrieval based on project keys, issue types, statuses, priorities, and author information using Qdrant payload fields.

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