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omesh06

Jira Expert.Old

by Omesh06 · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install jira-expert-old
Description
Atlassian Jira expert for creating and managing projects, planning, product discovery, JQL queries, workflows, custom fields, automation, reporting, and all...
README (SKILL.md)

Atlassian Jira Expert

Master-level expertise in Jira configuration, project management, JQL, workflows, automation, and reporting. Handles all technical and operational aspects of Jira.

Quick Start — Most Common Operations

Create a project:

mcp jira create_project --name "My Project" --key "MYPROJ" --type scrum --lead "[email protected]"

Run a JQL query:

mcp jira search_issues --jql "project = MYPROJ AND status != Done AND dueDate \x3C now()" --maxResults 50

For full command reference, see Atlassian MCP Integration. For JQL functions, see JQL Functions Reference. For report templates, see Reporting Templates.


Workflows

Project Creation

  1. Determine project type (Scrum, Kanban, Bug Tracking, etc.)
  2. Create project with appropriate template
  3. Configure project settings:
    • Name, key, description
    • Project lead and default assignee
    • Notification scheme
    • Permission scheme
  4. Set up issue types and workflows
  5. Configure custom fields if needed
  6. Create initial board/backlog view
  7. HANDOFF TO: Scrum Master for team onboarding

Workflow Design

  1. Map out process states (To Do → In Progress → Done)
  2. Define transitions and conditions
  3. Add validators, post-functions, and conditions
  4. Configure workflow scheme
  5. Validate: Deploy to a test project first; verify all transitions, conditions, and post-functions behave as expected before associating with production projects
  6. Associate workflow with project
  7. Test workflow with sample issues

JQL Query Building

Basic Structure: field operator value

Common Operators:

  • =, != : equals, not equals
  • ~, !~ : contains, not contains
  • >, \x3C, >=, \x3C= : comparison
  • in, not in : list membership
  • is empty, is not empty
  • was, was in, was not
  • changed

Powerful JQL Examples:

Find overdue issues:

dueDate \x3C now() AND status != Done

Sprint burndown issues:

sprint = 23 AND status changed TO "Done" DURING (startOfSprint(), endOfSprint())

Find stale issues:

updated \x3C -30d AND status != Done

Cross-project epic tracking:

"Epic Link" = PROJ-123 ORDER BY rank

Velocity calculation:

sprint in closedSprints() AND resolution = Done

Team capacity:

assignee in (user1, user2) AND sprint in openSprints()

Dashboard Creation

  1. Create new dashboard (personal or shared)
  2. Add relevant gadgets:
    • Filter Results (JQL-based)
    • Sprint Burndown
    • Velocity Chart
    • Created vs Resolved
    • Pie Chart (status distribution)
  3. Arrange layout for readability
  4. Configure automatic refresh
  5. Share with appropriate teams
  6. HANDOFF TO: Senior PM or Scrum Master for use

Automation Rules

  1. Define trigger (issue created, field changed, scheduled)
  2. Add conditions (if applicable)
  3. Define actions:
    • Update field
    • Send notification
    • Create subtask
    • Transition issue
    • Post comment
  4. Test automation with sample data
  5. Enable and monitor

Advanced Features

Custom Fields

When to Create:

  • Track data not in standard fields
  • Capture process-specific information
  • Enable advanced reporting

Field Types: Text, Numeric, Date, Select (single/multi/cascading), User picker

Configuration:

  1. Create custom field
  2. Configure field context (which projects/issue types)
  3. Add to appropriate screens
  4. Update search templates if needed

Issue Linking

Link Types:

  • Blocks / Is blocked by
  • Relates to
  • Duplicates / Is duplicated by
  • Clones / Is cloned by
  • Epic-Story relationship

Best Practices:

  • Use Epic linking for feature grouping
  • Use blocking links to show dependencies
  • Document link reasons in comments

Permissions & Security

Permission Schemes:

  • Browse Projects
  • Create/Edit/Delete Issues
  • Administer Projects
  • Manage Sprints

Security Levels:

  • Define confidential issue visibility
  • Control access to sensitive data
  • Audit security changes

Bulk Operations

Bulk Change:

  1. Use JQL to find target issues
  2. Select bulk change operation
  3. Choose fields to update
  4. Validate: Preview all changes before executing; confirm the JQL filter matches only intended issues — bulk edits are difficult to reverse
  5. Execute and confirm
  6. Monitor background task

Bulk Transitions:

  • Move multiple issues through workflow
  • Useful for sprint cleanup
  • Requires appropriate permissions
  • Validate: Run the JQL filter and review results in small batches before applying at scale

JQL Functions Reference

Tip: Save frequently used queries as named filters instead of re-running complex JQL ad hoc. See Best Practices for performance guidance.

Date: startOfDay(), endOfDay(), startOfWeek(), endOfWeek(), startOfMonth(), endOfMonth(), startOfYear(), endOfYear()

Sprint: openSprints(), closedSprints(), futureSprints()

User: currentUser(), membersOf("group")

Advanced: issueHistory(), linkedIssues(), issuesWithFixVersions()

Reporting Templates

Tip: These JQL snippets can be saved as shared filters or wired directly into Dashboard gadgets (see Dashboard Creation).

Report JQL
Sprint Report project = PROJ AND sprint = 23
Team Velocity assignee in (team) AND sprint in closedSprints() AND resolution = Done
Bug Trend type = Bug AND created >= -30d
Blocker Analysis priority = Blocker AND status != Done

Decision Framework

When to Escalate to Atlassian Admin:

  • Need new project permission scheme
  • Require custom workflow scheme across org
  • User provisioning or deprovisioning
  • License or billing questions
  • System-wide configuration changes

When to Collaborate with Scrum Master:

  • Sprint board configuration
  • Backlog prioritization views
  • Team-specific filters
  • Sprint reporting needs

When to Collaborate with Senior PM:

  • Portfolio-level reporting
  • Cross-project dashboards
  • Executive visibility needs
  • Multi-project dependencies

Handoff Protocols

FROM Senior PM:

  • Project structure requirements
  • Workflow and field needs
  • Reporting requirements
  • Integration needs

TO Senior PM:

  • Cross-project metrics
  • Issue trends and patterns
  • Workflow bottlenecks
  • Data quality insights

FROM Scrum Master:

  • Sprint board configuration requests
  • Workflow optimization needs
  • Backlog filtering requirements
  • Velocity tracking setup

TO Scrum Master:

  • Configured sprint boards
  • Velocity reports
  • Burndown charts
  • Team capacity views

Best Practices

Data Quality:

  • Enforce required fields with field validation rules
  • Use consistent issue key naming conventions per project type
  • Schedule regular cleanup of stale/orphaned issues

Performance:

  • Avoid leading wildcards in JQL (~ on large text fields is expensive)
  • Use saved filters instead of re-running complex JQL ad hoc
  • Limit dashboard gadgets to reduce page load time
  • Archive completed projects rather than deleting to preserve history

Governance:

  • Document rationale for custom workflow states and transitions
  • Version-control permission/workflow schemes before making changes
  • Require change management review for org-wide scheme updates
  • Run permission audits after user role changes

Atlassian MCP Integration

Primary Tool: Jira MCP Server

Key Operations with Example Commands:

Create a project:

mcp jira create_project --name "My Project" --key "MYPROJ" --type scrum --lead "[email protected]"

Execute a JQL query:

mcp jira search_issues --jql "project = MYPROJ AND status != Done AND dueDate \x3C now()" --maxResults 50

Update an issue field:

mcp jira update_issue --issue "MYPROJ-42" --field "status" --value "In Progress"

Create a sprint:

mcp jira create_sprint --board 10 --name "Sprint 5" --startDate "2024-06-01" --endDate "2024-06-14"

Create a board filter:

mcp jira create_filter --name "Open Blockers" --jql "priority = Blocker AND status != Done" --shareWith "project-team"

Integration Points:

  • Pull metrics for Senior PM reporting
  • Configure sprint boards for Scrum Master
  • Create documentation pages for Confluence Expert
  • Support template creation for Template Creator

Related Skills

  • Confluence Expert (project-management/confluence-expert/) — Documentation complements Jira workflows
  • Atlassian Admin (project-management/atlassian-admin/) — Permission and user management for Jira projects
Usage Guidance
This package looks like a coherent Jira guidance and utility skill, but take these precautions before installing or running it: - Source and provenance: the skill has no homepage and an unknown owner. If you plan to use it in production, prefer packages with known authors or inspect the full source code locally. - CLI dependency: SKILL.md uses an external 'mcp jira' CLI; verify what that tool is, where it comes from, and that it is already installed and configured on your system before allowing the agent to run those commands. - Credentials & least privilege: actual Jira operations and integrations (Slack, GitHub, Confluence, webhooks) require API tokens. Do not provide org-wide admin credentials. Use scoped personal access tokens or service accounts with minimal permissions, and rotate/revoke them as appropriate. - Review the included scripts locally: the two Python scripts (jql_query_builder.py and workflow_validator.py) appear to be self-contained utilities. Inspect the full files (the listing above was truncated) to confirm they contain no network calls or unexpected behavior before executing them. Run them in a sandbox or non-production environment first. - Test in a sandbox: follow the skill's own best practice—test automation rules and workflow changes in a test project/sandbox before applying to production. If you want a tighter assessment, provide the complete, untruncated source for the two Python scripts and indicate whether the agent will be allowed to execute commands (autonomous execution) or only provide advisory output; that information would raise or lower confidence.
Capability Analysis
Type: OpenClaw Skill Name: jira-expert-old Version: 1.0.1 The skill bundle is a legitimate set of tools and instructions for managing Atlassian Jira via an MCP server. It includes well-documented Python scripts for JQL query building (jql_query_builder.py) and workflow validation (workflow_validator.py), both of which use standard libraries and lack any network or file-system-writing capabilities. The SKILL.md and reference documents provide clear, helpful instructions for an AI agent without any evidence of prompt injection, data exfiltration, or malicious intent.
Capability Assessment
Purpose & Capability
Name, description, and included files (JQL builder, workflow validator, automation/workflow/JQL references) align with a Jira expert skill. One mismatch: SKILL.md examples call a CLI named 'mcp jira' to create projects and run searches, but the skill does not declare or install that CLI nor request Jira credentials—this is plausible if the skill only provides guidance, but it means the skill assumes the environment already has an external tool configured.
Instruction Scope
SKILL.md is largely documentation and actionable examples for Jira operations, JQL, workflows, and automation. It includes example commands that run an external CLI and examples of webhooks/integrations (Slack, GitHub, Confluence). The instructions do not tell the agent to read unrelated system files or export data to unknown endpoints. However, the examples assume integrations/webhooks and external tooling are configured; the skill does not instruct how to obtain or safely store those credentials.
Install Mechanism
No install spec and no archive downloads are present (instruction-only + two Python helper scripts). This minimizes the risk of arbitrary code being pulled at install time. The included scripts are plain Python and appear to be local utilities rather than installers.
Credentials
The skill declares no required environment variables or credentials, which means it is not requesting secrets it doesn't need. At the same time, practical use (calling Jira APIs, sending Slack/GitHub webhooks, running the example 'mcp jira' CLI) normally requires tokens/credentials; the absence of any declared credential requirements is a potential oversight rather than a direct red flag. There are no environment-access patterns in SKILL.md or the visible scripts that attempt to read arbitrary secrets.
Persistence & Privilege
The skill does not request always:true and is user-invocable; it does not modify other skills or system-wide settings. It appears to be a non-persistent helper (documentation + local scripts) and therefore has low privilege footprint.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install jira-expert-old
  3. After installation, invoke the skill by name or use /jira-expert-old
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
- No functional or documentation changes in this version. - Internal update: metadata file (_meta.json) modified. - All features and documentation remain the same.
v1.0.0
jira-expert 1.0.0 — Initial Release - Provides master-level guidance for all Atlassian Jira operations, from project setup and workflow design to JQL queries and advanced automation. - Includes step-by-step instructions for creating projects, configuring workflows, designing dashboards, managing custom fields, permissions, and automation rules. - Features comprehensive JQL reference, reporting templates, and best practices for data quality, performance, and governance. - Details protocols for collaborating with project teams and escalating to administrators. - Designed to support technical Jira operations for project managers, Scrum Masters, and administrators.
Metadata
Slug jira-expert-old
Version 1.0.1
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 2
Frequently Asked Questions

What is Jira Expert.Old?

Atlassian Jira expert for creating and managing projects, planning, product discovery, JQL queries, workflows, custom fields, automation, reporting, and all... It is an AI Agent Skill for Claude Code / OpenClaw, with 41 downloads so far.

How do I install Jira Expert.Old?

Run "/install jira-expert-old" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Jira Expert.Old free?

Yes, Jira Expert.Old is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Jira Expert.Old support?

Jira Expert.Old is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Jira Expert.Old?

It is built and maintained by Omesh06 (@omesh06); the current version is v1.0.1.

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