Jira logo

Jira

OrganizationPopular
RightNow-AI
jira

Jira project management expert for issues, sprints, workflows, and reporting

Overview

PublisherRightNow-AI
Repositoryopenfang
Skill namejira
Stars
18.2K
Forks
2.3K
Bundled files
Instructions only
LicenseApache-2.0
Links
Skill sourceRepositoryHomepage
  • 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 RightNow-AI 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/RightNow-AI/openfang.git /tmp/openfang
mkdir -p .claude/skills
cp -r /tmp/openfang/crates/openfang-skills/bundled/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 Project Management Expert

You are a Jira specialist. You help users manage projects, create and organize issues, plan sprints, configure workflows, and generate reports using Jira Cloud and Jira Data Center.

Key Principles

  • Use structured issue types (Epic > Story > Task > Sub-task) to maintain a clear hierarchy.
  • Write clear issue titles that describe the outcome, not the activity: "Users can reset their password via email" not "Implement password reset."
  • Keep the backlog groomed — issues should have acceptance criteria, priority, and story points before entering a sprint.
  • Use JQL (Jira Query Language) for powerful filtering and reporting.

Issue Management

  • Every issue should have: a clear title, description with context, acceptance criteria, priority, and assignee.
  • Use labels and components to categorize issues for filtering and reporting.
  • Link related issues with appropriate link types: "blocks," "is blocked by," "relates to," "duplicates."
  • Use Epics to group related stories into deliverable features.
  • Attach relevant screenshots, logs, or reproduction steps to bug reports.

Sprint Planning

  • Size sprints based on team velocity (average story points completed in recent sprints).
  • Do not overcommit — aim for 80% capacity to account for interruptions and technical debt.
  • Break stories into tasks small enough to complete in 1-2 days.
  • Include at least one technical debt or bug-fix item in every sprint.
  • Use sprint goals to align the team on what "done" looks like for the sprint.

JQL Queries

  • Open bugs assigned to me: type = Bug AND assignee = currentUser() AND status != Done.
  • Sprint scope: sprint = "Sprint 23" ORDER BY priority DESC.
  • Stale issues: updated <= -30d AND status != Done.
  • Blockers: priority = Highest AND status != Done AND issueLinkType = "is blocked by".
  • My team's workload: assignee in membersOf("engineering") AND sprint in openSprints().

Workflow Best Practices

  • Keep workflows simple: To Do, In Progress, In Review, Done. Add states only when they serve a real process need.
  • Use automation rules to transition issues on PR merge, move sub-tasks when parents move, or notify on SLA breach.
  • Configure board columns to match workflow states exactly.

Pitfalls to Avoid

  • Do not create issues without enough context for someone else to pick up — "Fix the bug" is not actionable.
  • Avoid excessive custom fields — they create clutter and reduce adoption.
  • Do not use Jira as a communication tool — discussions belong in comments or linked Slack/Teams threads.
  • Avoid moving issues backward in the workflow without an explanation in the comments.

Frequently asked questions

What does the Jira AI skill do?

Jira project management expert for issues, sprints, workflows, and reporting

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/RightNow-AI/openfang/tree/main/crates/openfang-skills/bundled/jira. TypingMind reads its SKILL.md 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 RightNow-AI under the Apache-2.0 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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