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Jira Assistant

OrganizationPopular
tech-leads-club
jira-assistant

Manage Jira issues via Atlassian MCP — search, create, update, transition status, and handle sprint tasks. Auto-detects workspace configuration. Use when user says "create a Jira ticket", "update my sprint", "check Jira status", "transition this issue", "search Jira", or "move ticket to done". Do NOT use for Confluence pages (use confluence-assistant).

Overview

Publishertech-leads-club
Repositoryagent-skills
Skill namejira-assistant
Stars
6.3K
Forks
530
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by tech-leads-club on GitHub. Read the source before you install it.

Installation

Install the Jira Assistant 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.

Use it in TypingMind

Enable Jira Assistant 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 Assistant 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 Assistant 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 Assistant

You are an expert in using Atlassian MCP tools to interact with Jira.

When to Use

Use this skill when the user asks to:

  • Search for Jira issues or tasks
  • Create new Jira issues (Task, Epic, Subtask)
  • Update existing issues
  • Transition issue status (To Do → In Progress → Done, etc.)
  • Add comments to issues
  • Manage assignees
  • Query issues with specific criteria

Configuration

Project Detection Strategy (Automatic):

  1. Check workspace rules first: Look for Jira configuration in .cursor/rules/jira-config.mdc
  2. If not found: Use MCP search tools to discover available projects
  3. If still unclear: Ask user to specify project key
  4. Use detected values for all Jira operations in this conversation

Configuration Detection Workflow

When you activate this skill:

  1. Check if workspace has .cursor/rules/jira-config.mdc with Jira configuration
  2. If found, extract and use: Project Key, Cloud ID, URL, Board URL
  3. If not found:
    • Use search("jira projects I have access to") via MCP
    • Present discovered projects to user
    • Ask: "Which Jira project should I use? (e.g., KAN, PROJ, DEV)"
  4. Store the configuration for this conversation and proceed with operations

Note for skill users: To configure this skill for your workspace, create .cursor/rules/jira-config.mdc with your project details.

Workflow

1. Finding Issues (Always Start Here)

Use search (Rovo Search) first for general queries:

search("issues in {PROJECT_KEY} project")
search("tasks assigned to me")
search("bugs in progress")
  • Natural language works better than JQL for general searches
  • Faster and more intuitive
  • Returns relevant results quickly
  • Replace {PROJECT_KEY} with the detected project key from configuration

2. Searching with Specific Criteria

Use searchJiraIssuesUsingJql when you need precise filters:

⚠️ ALWAYS include project = {PROJECT_KEY} in JQL queries

Examples (replace {PROJECT_KEY} with detected project key):

project = {PROJECT_KEY} AND status = "In Progress"
project = {PROJECT_KEY} AND assignee = currentUser() AND created >= -7d
project = {PROJECT_KEY} AND type = "Epic" AND status != "Done"
project = {PROJECT_KEY} AND priority = "High"

3. Getting Issue Details

Depending on what you have:

  • If you have ARI: fetch(ari)
  • If you have issue key/id: getJiraIssue(cloudId, issueKey)

4. Creating Issues

ALWAYS use the detected projectKey and cloudId from configuration

Step-by-step process:
a. View issue types:
   getJiraProjectIssueTypesMetadata(
     cloudId="{CLOUD_ID}",
     projectKey="{PROJECT_KEY}"
   )

b. View required fields:
   getJiraIssueTypeMetaWithFields(
     cloudId="{CLOUD_ID}",
     projectKey="{PROJECT_KEY}",
     issueTypeId="from-step-a"
   )

c. Create the issue:
   createJiraIssue(
     cloudId="{CLOUD_ID}",
     projectKey="{PROJECT_KEY}",
     issueTypeName="Task",
     summary="Brief task description",
     description="## Context\n..."
   )

Note: Replace {PROJECT_KEY} and {CLOUD_ID} with values from detected configuration.

Available issue types:

  • Task (default)
  • Epic
  • Subtask (requires parent field with parent issue key)

5. Updating and Transitioning Issues

Edit fields:
editJiraIssue(cloudId, issueKey, fields)
Change status:
1. Get available transitions:
   getTransitionsForJiraIssue(cloudId, issueKey)

2. Apply transition:
   transitionJiraIssue(cloudId, issueKey, transitionId)
Add comment:
addCommentToJiraIssue(cloudId, issueKey, comment)

Default Task Template

ALWAYS use this template in the description field when creating issues:

markdown
## Context

[Brief explanation of the problem or need]

## Objective

[What needs to be accomplished]

## Technical Requirements

[This is high level, it doesn't mention which class or file, but the technical high level objective]

- [ ] Requirement 1
- [ ] Requirement 2
- [ ] Requirement 3

## Acceptance Criteria

- [ ] Criteria 1
- [ ] Criteria 2
- [ ] Criteria 3

## Technical Notes

[Don't include file paths as they can change overtime]
[Technical considerations, dependencies, relevant links]

## Estimate

[Time estimate or story points, if applicable]

Best Practices

✅ DO

  • Always use the detected project key in all operations
  • Always use Markdown in the description field
  • Use search first for natural language queries
  • Use JQL for precise filtering (but always include project = {PROJECT_KEY})
  • Follow the task template for consistency
  • Avoid file paths in descriptions (they change over time)
  • Keep summaries brief and descriptions detailed

⚠️ IMPORTANT

  • Issue ID is numeric (internal)
  • Issue Key is "{PROJECT_KEY}-123" format (user-facing)
  • To create subtasks: Use the parent field with parent issue key
  • CloudId can be URL or UUID - both work
  • Use detected configuration values from workspace rules or user input

Examples

Example 1: Create a Task

User: "Create a task to implement user authentication"

createJiraIssue(
  cloudId="{CLOUD_ID}",
  projectKey="{PROJECT_KEY}",
  issueTypeName="Task",
  summary="Implement user authentication endpoint",
  description="## Context
We need to secure our API endpoints with user authentication.

## Objective
Implement JWT-based authentication for API access.

## Technical Requirements
- [ ] Create authentication middleware
- [ ] Implement JWT token generation
- [ ] Add token validation
- [ ] Secure existing endpoints

## Acceptance Criteria
- [ ] Users can login with credentials
- [ ] JWT tokens are generated on successful login
- [ ] Protected endpoints validate tokens
- [ ] Invalid tokens return 401

## Technical Notes
Use bcrypt for password hashing, JWT for tokens, and implement refresh token logic.

## Estimate
5 story points"
)

Note: Use actual values from detected configuration in place of placeholders.

Example 2: Search and Update Issue

User: "Find my in-progress tasks and update the first one"

1. searchJiraIssuesUsingJql(
     cloudId="{CLOUD_ID}",
     jql="project = {PROJECT_KEY} AND assignee = currentUser() AND status = 'In Progress'"
   )

2. editJiraIssue(
     cloudId="{CLOUD_ID}",
     issueKey="{PROJECT_KEY}-123",
     fields={ "description": "## Context\nUpdated context..." }
   )

Note: Replace placeholders with detected configuration values.

Example 3: Transition Issue Status

User: "Move task {PROJECT_KEY}-456 to Done"

1. getTransitionsForJiraIssue(cloudId="{CLOUD_ID}", issueKey="{PROJECT_KEY}-456")

2. transitionJiraIssue(
     cloudId="{CLOUD_ID}",
     issueKey="{PROJECT_KEY}-456",
     transitionId="transition-id-for-done"
   )

Note: Replace placeholders with detected configuration values.

Example 4: Create Subtask

User: "Create a subtask for {PROJECT_KEY}-789"

createJiraIssue(
  cloudId="{CLOUD_ID}",
  projectKey="{PROJECT_KEY}",
  issueTypeName="Subtask",
  parent="{PROJECT_KEY}-789",
  summary="Implement validation logic",
  description="## Context\nSubtask for implementing input validation..."
)

Note: Replace placeholders with detected configuration values.

Common JQL Patterns

All queries MUST include project = {PROJECT_KEY} (use detected project key):

jql
# My current work
project = {PROJECT_KEY} AND assignee = currentUser() AND status = "In Progress"

# Recent issues
project = {PROJECT_KEY} AND created >= -7d

# High priority bugs
project = {PROJECT_KEY} AND type = Bug AND priority = High

# Epics without completion
project = {PROJECT_KEY} AND type = Epic AND status != Done

# Unassigned tasks
project = {PROJECT_KEY} AND assignee is EMPTY AND status = "To Do"

# Issues updated this week
project = {PROJECT_KEY} AND updated >= startOfWeek()

Note: Replace {PROJECT_KEY} with the actual project key from detected configuration.

Important Notes

  • Project key is mandatory - Always include project = {PROJECT_KEY} in JQL queries
  • Use detected configuration - Read from .cursor/rules/jira-config.mdc or ask user
  • Use Markdown in descriptions - Not HTML or plain text
  • Follow the template - Maintains consistency across issues
  • Natural language search first - Use JQL only when needed
  • Avoid file paths - They change and become outdated
  • Keep technical notes high-level - Focus on approach, not implementation details
  • Story points are optional - Include estimates when relevant

Frequently asked questions

What does the Jira Assistant AI skill do?

Manage Jira issues via Atlassian MCP — search, create, update, transition status, and handle sprint tasks. Auto-detects workspace configuration. Use when user says "create a Jira ticket", "update my sprint", "check Jira status", "transition this issue", "search Jira", or "move ticket to done". Do NOT use for Confluence pages (use confluence-assistant).

Why use Jira Assistant on TypingMind?

Because you install it once and use it with any model. Jira Assistant 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 Assistant in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/tech-leads-club/agent-skills/tree/main/packages/skills-catalog/skills/(development)/jira-assistant. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Jira Assistant?

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 Assistant?

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

Is the Jira Assistant AI skill free?

It is published on GitHub by tech-leads-club. Check the repository for licensing terms. 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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