How does this skill help with Jira rate limits?

It uses intelligent request batching and a robust caching layer to reduce the number of redundant API calls, helping you stay within Jira's 429 rate limits during bulk operations.

What is 'Project Discovery' in this context?

Project Discovery is a feature that scans your Jira project to identify workflows, custom fields, and usage patterns, creating a context-aware profile that Claude uses for more accurate automation.

Where is the cached Jira data stored?

Cache data is stored locally on your machine in the `~/.jira-skills/cache/` directory using an SQLite-based system, ensuring fast access and data privacy.

Can I clear specific parts of the cache?

Yes, you can clear the cache by specific categories (such as issues or metadata), by matching patterns, or perform a full cache reset if data becomes stale.

Do I need to run Python scripts manually to use this?

No, this skill is designed to work entirely through the `jira-as` CLI, providing a simplified and standardized interface for all operational tasks within Claude Code.

Jira Operations & Cache Manager

Name: Jira Operations & Cache Manager
Author: grandcamel

bygrandcamel

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Collaboration Tools

Optimizes Jira performance through advanced cache management, request batching, and automated project discovery.

About

The Jira Operations skill for Claude Code provides essential utilities to streamline and accelerate Jira API interactions by managing local data persistence and request efficiency. It features comprehensive cache controls—including warming, clearing, and monitoring hit rates—to minimize latency and prevent 429 rate limit errors during high-volume tasks. Beyond caching, it enables automated project discovery to extract workflows and metadata, alongside parallel request batching for efficient bulk operations. This tool is indispensable for developers and project managers who need to maintain high-performance Jira integrations while troubleshooting API slowness or managing large-scale project configurations.

Key Features

Comprehensive Cache Management: Warm, clear, or monitor local Jira metadata caches to optimize execution speed.
Automated Project Discovery: Extract project workflows, field definitions, and usage patterns automatically for better context.
Bulk Operation Batching: Execute parallel requests to handle large volumes of data without triggering rate limits.
Dry-run Capabilities: Preview cache clearing and sensitive operations to prevent accidental data loss or re-fetching.
API Performance Monitoring: Track cache hit rates and diagnose slow Jira API responses in real-time.
3 GitHub stars

Use Cases

Warming the cache before performing bulk issue updates to ensure maximum performance and minimal API overhead.
Troubleshooting 429 rate limit errors or API slowness by analyzing cache health and request patterns.
Setting up a new Jira instance by auto-discovering project metadata and workflow patterns for intelligent defaults.

About

Key Features

Comprehensive Cache Management: Warm, clear, or monitor local Jira metadata caches to optimize execution speed.
Automated Project Discovery: Extract project workflows, field definitions, and usage patterns automatically for better context.
Bulk Operation Batching: Execute parallel requests to handle large volumes of data without triggering rate limits.
Dry-run Capabilities: Preview cache clearing and sensitive operations to prevent accidental data loss or re-fetching.
API Performance Monitoring: Track cache hit rates and diagnose slow Jira API responses in real-time.
3 GitHub stars

Use Cases

Warming the cache before performing bulk issue updates to ensure maximum performance and minimal API overhead.
Troubleshooting 429 rate limit errors or API slowness by analyzing cache health and request patterns.
Setting up a new Jira instance by auto-discovering project metadata and workflow patterns for intelligent defaults.