Installation
npx skills add cachemoney/agent-toolkit --skill jira 6
Installs
Jira
Natural language interaction with Jira. Supports multiple backends.
Backend Detection
Run this check first to determine which backend to use:
1. Check if jira CLI is available:
→ Run: which jira
→ If found: USE CLI BACKEND
2. If no CLI, check for Atlassian MCP:
→ Look for mcp__atlassian__* tools
→ If available: USE MCP BACKEND
3. If neither available:
→ GUIDE USER TO SETUP| Backend | When to Use | Reference |
|---|---|---|
| CLI | jira command available |
references/commands.md |
| MCP | Atlassian MCP tools available | references/mcp.md |
| None | Neither available | Guide to install CLI |
Quick Reference (CLI)
Skip this section if using MCP backend.
| Intent | Command |
|---|---|
| View issue | jira issue view ISSUE-KEY |
| List my issues | jira issue list -a$(jira me) |
| My in-progress | jira issue list -a$(jira me) -s"In Progress" |
| Create issue | jira issue create -tType -s"Summary" -b"Description" |
| Move/transition | jira issue move ISSUE-KEY "State" |
| Assign to me | jira issue assign ISSUE-KEY $(jira me) |
| Unassign | jira issue assign ISSUE-KEY x |
| Add comment | jira issue comment add ISSUE-KEY -b"Comment text" |
| Open in browser | jira open ISSUE-KEY |
| Current sprint | jira sprint list --state active |
| Who am I | jira me |
Quick Reference (MCP)
Skip this section if using CLI backend.
| Intent | MCP Tool |
|---|---|
| Search issues | mcp__atlassian__searchJiraIssuesUsingJql |
| View issue | mcp__atlassian__getJiraIssue |
| Create issue | mcp__atlassian__createJiraIssue |
| Update issue | mcp__atlassian__editJiraIssue |
| Get transitions | mcp__atlassian__getTransitionsForJiraIssue |
| Transition | mcp__atlassian__transitionJiraIssue |
| Add comment | mcp__atlassian__addCommentToJiraIssue |
| User lookup | mcp__atlassian__lookupJiraAccountId |
| List projects | mcp__atlassian__getVisibleJiraProjects |
See references/mcp.md for full MCP patterns.
Triggers
- "create a jira ticket"
- "show me PROJ-123"
- "list my tickets"
- "move ticket to done"
- "what's in the current sprint"
Issue Key Detection
Issue keys follow the pattern: [A-Z]+-[0-9]+ (e.g., PROJ-123, ABC-1).
When a user mentions an issue key in conversation:
- CLI:
jira issue view KEYorjira open KEY - MCP:
mcp__atlassian__jira_get_issuewith the key
Workflow
Creating tickets:
- Research context if user references code/tickets/PRs
- Draft ticket content
- Review with user
- Create using appropriate backend
Updating tickets:
- Fetch issue details first
- Check status (careful with in-progress tickets)
- Show current vs proposed changes
- Get approval before updating
- Add comment explaining changes
Before Any Operation
Ask yourself:
What's the current state? — Always fetch the issue first. Don't assume status, assignee, or fields are what user thinks they are.
Who else is affected? — Check watchers, linked issues, parent epics. A "simple edit" might notify 10 people.
Is this reversible? — Transitions may have one-way gates. Some workflows require intermediate states. Description edits have no undo.
Do I have the right identifiers? — Issue keys, transition IDs, account IDs. Display names don't work for assignment (MCP).
NEVER
NEVER transition without fetching current status — Workflows may require intermediate states. "To Do" → "Done" might fail silently if "In Progress" is required first.
NEVER assign using display name (MCP) — Only account IDs work. Always call
lookupJiraAccountIdfirst, or assignment silently fails.NEVER edit description without showing original — Jira has no undo. User must see what they're replacing.
NEVER use
--no-inputwithout all required fields (CLI) — Fails silently with cryptic errors. Check project's required fields first.NEVER assume transition names are universal — "Done", "Closed", "Complete" vary by project. Always get available transitions first.
NEVER bulk-modify without explicit approval — Each ticket change notifies watchers. 10 edits = 10 notification storms.
Safety
- Always show the command/tool call before running it
- Always get approval before modifying tickets
- Preserve original information when editing
- Verify updates after applying
- Always surface authentication issues clearly so the user can resolve them
No Backend Available
If neither CLI nor MCP is available, guide the user:
To use Jira, you need one of:
1. **jira CLI** (recommended):
https://github.com/ankitpokhrel/jira-cli
Install: brew install ankitpokhrel/jira-cli/jira-cli
Setup: jira init
2. **Atlassian MCP**:
Configure in your MCP settings with Atlassian credentials.Deep Dive
LOAD reference when:
- Creating issues with complex fields or multi-line content
- Building JQL queries beyond simple filters
- Troubleshooting errors or authentication issues
- Working with transitions, linking, or sprints
Do NOT load reference for:
- Simple view/list operations (Quick Reference above is sufficient)
- Basic status checks (
jira issue view KEY) - Opening issues in browser
| Task | Load Reference? |
|---|---|
| View single issue | No |
| List my tickets | No |
| Create with description | Yes — CLI needs /tmp pattern |
| Transition issue | Yes — need transition ID workflow |
| JQL search | Yes — for complex queries |
| Link issues | Yes — MCP limitation, need script |
References:
- CLI patterns:
references/commands.md - MCP patterns:
references/mcp.md
Installs
Security Audit
View Source
cachemoney/agent-toolkit
More from this source
How to use this skill
Install jira by running npx skills add cachemoney/agent-toolkit --skill jira in your project directory. Run the install command above in your project directory. The skill file will be downloaded from GitHub and placed in your project.
No configuration needed. Your AI agent (Claude Code, Cursor, Windsurf, etc.) automatically detects installed skills and uses them as context when generating code.
The skill enhances your agent's understanding of jira, helping it follow established patterns, avoid common mistakes, and produce production-ready output.
What you get
Skills are plain-text instruction files — not executable code. They encode expert knowledge about frameworks, languages, or tools that your AI agent reads to improve its output. This means zero runtime overhead, no dependency conflicts, and full transparency: you can read and review every instruction before installing.
Compatibility
This skill works with any AI coding agent that supports the skills.sh format, including Claude Code (Anthropic), Cursor, Windsurf, Cline, Aider, and other tools that read project-level context files. Skills are framework-agnostic at the transport level — the content inside determines which language or framework it applies to.
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