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Jira

OrganizationPopular
softaworks
jira

Use when the user mentions Jira issues (e.g., "PROJ-123"), asks about tickets, wants to create/view/update issues, check sprint status, or manage their Jira workflow. Triggers on keywords like "jira", "issue", "ticket", "sprint", "backlog", or issue key patterns.

Overview

Publishersoftaworks
Repositoryagent-toolkit
Skill namejira
Stars
2.5K
Forks
226
Bundled files
2
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by softaworks on GitHub. Read the source before you install it.

Installation

Install the Jira AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/softaworks/agent-toolkit.git /tmp/agent-toolkit
mkdir -p .claude/skills
cp -r /tmp/agent-toolkit/skills/jira .claude/skills/jira
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Jira in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Jira on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Jira is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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
BackendWhen to UseReference
CLIjira command availablereferences/commands.md
MCPAtlassian MCP tools availablereferences/mcp.md
NoneNeither availableGuide to install CLI

Quick Reference (CLI)

Skip this section if using MCP backend.

IntentCommand
View issuejira issue view ISSUE-KEY
List my issuesjira issue list -a$(jira me)
My in-progressjira issue list -a$(jira me) -s"In Progress"
Create issuejira issue create -tType -s"Summary" -b"Description"
Move/transitionjira issue move ISSUE-KEY "State"
Assign to mejira issue assign ISSUE-KEY $(jira me)
Unassignjira issue assign ISSUE-KEY x
Add commentjira issue comment add ISSUE-KEY -b"Comment text"
Open in browserjira open ISSUE-KEY
Current sprintjira sprint list --state active
Who am Ijira me

Quick Reference (MCP)

Skip this section if using CLI backend.

IntentMCP Tool
Search issuesmcp__atlassian__searchJiraIssuesUsingJql
View issuemcp__atlassian__getJiraIssue
Create issuemcp__atlassian__createJiraIssue
Update issuemcp__atlassian__editJiraIssue
Get transitionsmcp__atlassian__getTransitionsForJiraIssue
Transitionmcp__atlassian__transitionJiraIssue
Add commentmcp__atlassian__addCommentToJiraIssue
User lookupmcp__atlassian__lookupJiraAccountId
List projectsmcp__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 KEY or jira open KEY
  • MCP: mcp__atlassian__jira_get_issue with the key

Workflow

Creating tickets:

  1. Research context if user references code/tickets/PRs
  2. Draft ticket content
  3. Review with user
  4. Create using appropriate backend

Updating tickets:

  1. Fetch issue details first
  2. Check status (careful with in-progress tickets)
  3. Show current vs proposed changes
  4. Get approval before updating
  5. Add comment explaining changes

Before Any Operation

Ask yourself:

  1. What's the current state? — Always fetch the issue first. Don't assume status, assignee, or fields are what user thinks they are.

  2. Who else is affected? — Check watchers, linked issues, parent epics. A "simple edit" might notify 10 people.

  3. Is this reversible? — Transitions may have one-way gates. Some workflows require intermediate states. Description edits have no undo.

  4. 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 lookupJiraAccountId first, or assignment silently fails.

  • NEVER edit description without showing original — Jira has no undo. User must see what they're replacing.

  • NEVER use --no-input without 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
TaskLoad Reference?
View single issueNo
List my ticketsNo
Create with descriptionYes — CLI needs /tmp pattern
Transition issueYes — need transition ID workflow
JQL searchYes — for complex queries
Link issuesYes — MCP limitation, need script

References:

  • CLI patterns: references/commands.md
  • MCP patterns: references/mcp.md

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Jira AI skill do?

Use when the user mentions Jira issues (e.g., "PROJ-123"), asks about tickets, wants to create/view/update issues, check sprint status, or manage their Jira workflow. Triggers on keywords like "jira", "issue", "ticket", "sprint", "backlog", or issue key patterns.

Why use Jira on TypingMind?

Because you install it once and use it with any model. Jira is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Jira in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/softaworks/agent-toolkit/tree/main/skills/jira. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Jira?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Jira?

As many as you like. As long as a model supports skills, you can use Jira with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Jira AI skill free?

Yes. It is published on GitHub by softaworks under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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