Agent skill

Jira Expert

by LeoYeAI in LeoYeAI/openclaw-master-skills

Atlassian Jira expert for creating and managing projects, planning, product discovery, JQL queries, workflows, custom fields, automation, reporting, and all Jira features.

MITAuto-check passedProduct & Project Management

Install Jira Expert

skills CLI
$ npx skills add LeoYeAI/openclaw-master-skills --skill jira-expert -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install LeoYeAI/openclaw-master-skills jira-expert --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/jira-expert .claude/skills/jira-expert && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
jira-expert
GitHub stars
2.2k
Token cost
~2.2k tokens
SKILL.md length
904 words
Files
8 (incl. scripts, references)
Skills in repo
1,235
Repo updated
First seen
Licence
MIT

At a glance

Atlassian Jira expert for creating and managing projects, planning, product discovery, JQL queries, workflows, custom fields, automation, reporting, and all Jira features.

  • Works in 7 steps: Determine project type (Scrum, Kanban,… → Create project with appropriate template → Configure project settings → …
  • Jira project setup
  • SKILL.md covers Quick Start — Most Common…, Workflows, Advanced Features and JQL Functions Reference, plus 6 more sections
  • Runs Python scripts from its folder

What it does

Jira Expert is an agent skill from LeoYeAI/openclaw-master-skills. Atlassian Jira expert for creating and managing projects, planning, product discovery, JQL queries, workflows, custom fields, automation, reporting, and all Jira features. Use for Jira project setup, configuration, advanced search, dashboard creation, workflow design, and technical Jira operations.

Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including scripts and reference files (for example `_meta.json`, `references/AUTOMATION.md` and `references/WORKFLOWS.md`).

It sits in Product & Project Management. It works with Jira. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.

When your agent uses it

  • Jira project setup
  • Advanced search
  • Dashboard creation
  • Workflow design

Example prompts

  • “/jira-expert”

Requirements

  • Python 3

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Determine project type (Scrum, Kanban, Bug Tracking, etc.)
  2. Create project with appropriate template
  3. Configure project settings
  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

What it can do on your machine

Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 files in scripts/ (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Jira Expert loads about 2.2k tokens when it runs, and up to ~11k if it reads all its reference files. Until then it costs about 78 tokens; SKILL.md has 904 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~78
When it runs · the whole SKILL.md, loaded when a task matches
~2.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~11k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 904 words, ~2,240 tokens.

Download SKILL.mdSave it as .claude/skills/jira-expert/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.
name
jira-expert
description
Atlassian Jira expert for creating and managing projects, planning, product discovery, JQL queries, workflows, custom fields, automation, reporting, and all Jira features. Use for Jira project setup, configuration, advanced search, dashboard creation, workflow design, and technical Jira operations.

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 "user@example.com"

Run a JQL query:

mcp jira search_issues --jql "project = MYPROJ AND status != Done AND dueDate < 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
  • >, <, >=, <= : comparison
  • in, not in : list membership
  • is empty, is not empty
  • was, was in, was not
  • changed

Powerful JQL Examples:

Find overdue issues:

jql
dueDate < now() AND status != Done

Sprint burndown issues:

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

Find stale issues:

jql
updated < -30d AND status != Done

Cross-project epic tracking:

jql
"Epic Link" = PROJ-123 ORDER BY rank

Velocity calculation:

jql
sprint in closedSprints() AND resolution = Done

Team capacity:

jql
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()

Show full SKILL.md (348 more words)Show less

Reporting Templates

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

ReportJQL
Sprint Reportproject = PROJ AND sprint = 23
Team Velocityassignee in (team) AND sprint in closedSprints() AND resolution = Done
Bug Trendtype = Bug AND created >= -30d
Blocker Analysispriority = 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 "user@example.com"

Execute a JQL query:

mcp jira search_issues --jql "project = MYPROJ AND status != Done AND dueDate < 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
  • Confluence Expert (project-management/confluence-expert/) — Documentation complements Jira workflows
  • Atlassian Admin (project-management/atlassian-admin/) — Permission and user management for Jira projects

© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 7 other files (scripts, references) in skills/jira-expert of LeoYeAI/openclaw-master-skills.

  • SKILL.md
  • _meta.json
  • references/AUTOMATION.md
  • references/WORKFLOWS.md
  • references/automation-examples.md
  • references/jql-examples.md
  • scripts/jql_query_builder.py
  • scripts/workflow_validator.py

Open the folder on GitHubat commit e5199b5

Compare with similar skills

Jira Expert next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Jira Expert compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Jira Expert this skillLeoYeAI/openclaw-master-skills2.2k—~2.2kAutomated safety check: PassMIT
Jira Natural Language Interfacejjmartres/opencode1333 repos~1.7kAutomated safety check: PassMIT
Tidycroffasia/itsaplan926—~2.8kAutomated safety check: PassAGPL-3.0
Jirakv0906/pm-kit138—~4.2kAutomated safety check: NotesMIT
Jira CLICode-and-Sorts/awesome-copilot-agents5801 repos~1.7kAutomated safety check: PassMIT
JiraVixenLights/Vixen114—~3.4kAutomated safety check: PassCustom licence

Similar skills

  • Lets an agent view, create, update and transition Jira issues in natural language, automatically choosing between the jira CLI and Atlassian MCP tools.

    133 GitHub starsUsed in 3 repos~1.7k tokens
    Product & Project ManagementAuto-check passed
  • Tidy

    croffasia/itsaplan

    Simplifies and refines code for clarity, consistency, and maintainability while preserving all functionality.

    926 GitHub stars~2.8k tokensUpdated today
    Product & Project ManagementAuto-check passed
  • Jira

    kv0906/pm-kit

    Jira integration via acli CLI. An agent skill from kv0906/pm-kit.

    138 GitHub stars~4.2k tokensUpdated today
    Product & Project ManagementAuto-check: notes
  • Jira CLI

    Code-and-Sorts/awesome-copilot-agents

    Interact with Jira from the command line to create, list, view, edit, and transition issues, manage sprints and epics, and perform common Jira workflows.

    580 GitHub starsUsed in 1 repo~1.7k tokens
    Product & Project ManagementAuto-check passed
  • Jira

    VixenLights/Vixen

    Manages JIRA issues, projects, and workflows using Atlassian MCP.

    114 GitHub stars~3.4k tokensUpdated yesterday
    Product & Project ManagementAuto-check passed
  • Run Parallel Tasks

    LIDR-academy/AI4Devs-LTI-extended

    Run N feature tasks in parallel, each in its own worktree, following the full specboot pipeline (enrich → new → ff → apply → verify).

    278 GitHub stars~1.5k tokensUpdated 4 mo ago
    Product & Project ManagementAuto-check passed

More from LeoYeAI/openclaw-master-skills

All 1,200 skills in this repo
  • DevOps Pipeline Management

    LeoYeAI/openclaw-master-skills

    Manages pipelines on a DevOps quality and efficiency platform through its OpenAPI: list workspaces and templates, create, update, run and cancel pipelines, and read run records.

    2.2k GitHub stars~4.2k tokensUpdated 2 mo ago
    Auto-check: notes
  • Feishu Document Collaboration

    LeoYeAI/openclaw-master-skills

    Patches OpenClaw's Feishu extension so an edited document triggers an isolated agent session that reads the doc and replies inline, turning it into a live chat space.

    2.2k GitHub stars~2k tokensUpdated 2 mo ago
    Auto-check passed
  • Files Memory System

    LeoYeAI/openclaw-master-skills

    Multi-context memory management system for OpenClaw agents with group-isolated storage, global shared memory, workspace organization, and group-specific skills isolation.

    2.2k GitHub stars~3.8k tokensUpdated 2 mo ago
    Auto-check passed
  • GEO-Claw AI Visibility Agent

    LeoYeAI/openclaw-master-skills

    Runs a brand's AI-search visibility work end to end: diagnosing how AI platforms represent it, repositioning it, producing AI-optimized content and monitoring ongoing mentions.

    2.2k GitHub stars~4.7k tokensUpdated 2 mo ago
    Auto-check passed
  • Google Workspace CLI

    LeoYeAI/openclaw-master-skills

    Installs and authenticates the gws CLI, then automates Gmail, Drive, Sheets, Calendar, Docs, Chat and Tasks with ready-made recipes, persona bundles and security audits.

    2.2k GitHub stars~2.6k tokensUpdated 2 mo ago
    Auto-check: notes
  • HealthFit Health Advisors

    LeoYeAI/openclaw-master-skills

    Runs four advisor roles, a fitness coach, nutritionist, data analyst and TCM practitioner, to build a health profile and track workouts, diet and wellness over time.

    2.2k GitHub stars~4.4k tokensUpdated 2 mo ago
    Auto-check passed

Works with

Questions about Jira Expert

What does Jira Expert do?

Atlassian Jira expert for creating and managing projects, planning, product discovery, JQL queries, workflows, custom fields, automation, reporting, and all Jira features. Jira Expert is an agent skill from LeoYeAI/openclaw-master-skills. Atlassian Jira expert for creating and managing projects, planning, product discovery, JQL queries, workflows, custom fields, automation, reporting, and all Jira features.

When should I use Jira Expert?

Jira Expert fits situations like: jira project setup; advanced search; dashboard creation; workflow design.

How do I install Jira Expert in Claude Code?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill jira-expert -a claude-code`. Or copy the skill folder (skills/jira-expert in LeoYeAI/openclaw-master-skills) into .claude/skills/jira-expert in your project. Claude Code loads it when a task matches its description.

How do I install Jira Expert in Codex?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill jira-expert -a codex`. Or copy the skill folder (skills/jira-expert in LeoYeAI/openclaw-master-skills) into .agents/skills/jira-expert in your project. Codex loads it when a task matches its description.

Can I use Jira Expert in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LeoYeAI/openclaw-master-skills --skill jira-expert -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/jira-expert, .gemini/skills/jira-expert, .github/skills/jira-expert and .opencode/skills/jira-expert in your project.

What does Jira Expert need to run?

Going by SKILL.md and its folder, Jira Expert needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Jira Expert access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Jira Expert safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Jira Expert use?

Jira Expert is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Jira Expert use?

About 2.2k tokens (SKILL.md is roughly 9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 8.3k tokens, read only when the agent opens those files.

What are the alternatives to Jira Expert?

Skills that share tags, products or a category with Jira Expert: Jira Natural Language Interface (jjmartres/opencode, 133 stars), Tidy (croffasia/itsaplan, 926 stars), Jira (kv0906/pm-kit, 138 stars) and Jira CLI (Code-and-Sorts/awesome-copilot-agents, 580 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Jira Expert?

LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,161 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.

Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.