A master-level AI agent skill for technical Jira operations, including complex JQL queries, automated workflow design, and comprehensive project configuration.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install jira-expert
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install jira-expert using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Jira Expert?
The Jira Expert skill is a powerhouse for technical project managers and administrators looking to streamline their Atlassian environment. It provides a deep interface for managing the entire lifecycle of a Jira project, from initial setup and scheme configuration to advanced reporting and dashboard creation. By leveraging Openclaw Skills, users can interact with Jira through a structured MCP integration that handles everything from basic issue tracking to complex automation rules.
This skill eliminates the manual overhead of navigating complex Jira menus by allowing agents to execute precise commands for project creation, workflow validation, and data analysis. Whether you are building a Scrum board from scratch or running performance audits on stale issues, the Jira Expert ensures high data quality and adherence to governance best practices across your organization.
Jira Expert Use Cases
- Rapid project initialization with customized Scrum, Kanban, or Bug Tracking templates.
- Designing and deploying complex workflows with custom transitions, conditions, and post-functions.
- Building advanced JQL filters for sprint burndowns, team capacity planning, and stale issue identification.
- Automating repetitive tasks such as issue transitions, field updates, and subtask creation.
- Generating high-level executive dashboards and velocity reports for data-driven decision making.
How Jira Expert Works
- The agent analyzes the project requirements to determine the optimal project type and necessary issue types.
- Commands are issued via the MCP server to create the project structure, including unique keys and leadership roles.
- Custom fields and security schemes are configured to match the organization's data taxonomy and privacy needs.
- Workflows are mapped out and validated in a test environment before being associated with production projects.
- JQL queries are utilized to populate dashboards and automation triggers, ensuring real-time visibility into project health.
Jira Expert Setup
To start using this skill within the Openclaw Skills ecosystem, ensure your Jira MCP server is configured and run the following commands to initialize your environment:
# Create a new Jira project
mcp jira create_project --name "My Project" --key "MYPROJ" --type scrum --lead "[email protected]"
# Verify connection by running a basic search
mcp jira search_issues --jql "project = MYPROJ" --maxResults 10
Jira Expert Data Schema & Taxonomy
The Jira Expert skill organizes data through a hierarchical structure involving projects, schemes, and issues. Below is the metadata taxonomy used:
| Entity | Attributes Managed |
|---|---|
| Project | Name, Key, Lead, Type (Scrum/Kanban) |
| Workflows | States, Transitions, Validators, Post-functions |
| JQL Filters | Query String, Permissions, Subscription Settings |
| Custom Fields | Field Type (Text, Date, Picker), Context, Screen Mapping |
| Dashboards | Gadgets, Layout, Refresh Rate, Share Settings |
Jira Expert Advanced Features
- Multi-agent handoff protocols for seamless collaboration with Confluence and Admin experts.
- Bulk operation management for large-scale issue transitions and field updates with pre-execution validation.
- Advanced JQL function support including date-based functions like startOfSprint() and membership filters.
- Sophisticated automation rule engine with trigger-condition-action logic for hands-free project maintenance.
- Automated data quality audits to enforce field requirements and cleanup orphaned issues.
SKILL.md
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