Twg Jira

Organization

zenobi-us

twg-jira

Use with root `twg` for Jira workitems, projects, boards, sprints, fields, transitions, comments, links, and administration. Applies Jira semantics and safe mutation rules.

Overview

Publisher	zenobi-us
Repository	`dotfiles`
Skill name	`twg-jira`
Stars	67
Forks	6
Bundled files	5
License	MIT
Links	Skill source Repository

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.
5 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by zenobi-us on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/zenobi-us/dotfiles/tree/master/files/devtools/agent/bundles/developer/skills/atlassian/twg-jira

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/zenobi-us/dotfiles.git /tmp/dotfiles
mkdir -p .claude/skills
cp -r /tmp/dotfiles/files/devtools/agent/bundles/developer/skills/atlassian/twg-jira .claude/skills/twg-jira

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Twg 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 Twg 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 Twg 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.

twg-jira

Use with the root twg skill whenever Jira is the source of truth or a Jira mutation is required. This skill owns Jira semantics and safety; exact command grammar comes from live twg help.

CLI launcher fallback

Run twg <command>. On shell command not found, use $HOME/.local/bin/twg (macOS/Linux) / $env:LOCALAPPDATA\Programs\twg\bin\twg.exe (PowerShell), then tell user to add that directory to PATH. Do not treat auth or command errors as PATH failures.

Use When

A Jira key, issue URL, project key, board, sprint, filter, or dashboard is the primary anchor.
The user asks to create, update, transition, comment on, link, watch, or delete Jira work.
Required or custom fields must be discovered and populated.
A workflow skill needs authoritative Jira fields or status.

Do not load this skill merely because Jira appears as one supporting artifact inside a cross-product answer.

First Route

Intent	Route
Known workitem	Native workitem `get`
Jira-only fuzzy text discovery	Workitem `search` (JQL-backed)
Exact Jira filtering	Workitem `query` with JQL
Semantic Jira discovery	Top-level `search --app jira` (Rovo)
Related artifacts or people	Native read plus `context`
Link implementation artifacts	`jira workitem link pr
Create or update	Field metadata, then mutation
Change workflow state	Discover transitions, then transition
Board or sprint ordering	Board/backlog/sprint command
Jira configuration	Jira administration namespace

Run one focused twg help describe "<exact path>" before an unfamiliar or consequential mutation.

Jira Semantics

"Issue" and "workitem" refer to the same Jira object in user language.
Jira projects/spaces are not Atlas projects. Use Jira for issue containers, schemes, boards, versions, components, filters, and dashboards.
JSM requests have an underlying Jira workitem, but approvals, portals, queues, request types, and SLAs belong to JSM.
Search results are candidate anchors. Use the native workitem read for final fields, comments, links, and status.
For "what should I pick next," query actual open Jira work or the requested board backlog. Do not rank from broad activity alone.

Safe Reads And Writes

Resolve the site and workitem key before mutation.
Read current state before update, transition, link, comment, or delete.
Discover create/update field metadata before supplying required or custom fields.
Use returned customfield_* IDs rather than display names in writes.
Discover available transitions instead of guessing a transition name or ID.
Keep global Jira field administration separate from workitem field values.
Use typed workitem artifact links when the request is to add Jira remote links to PRs, repos, deployments, builds, branches, commits, Loom videos, or meetings. These are not Jira Software devinfo/provider writes.
Verify mutations with a native read and report the resulting key and URL.

Handoffs

Load twg-context-discovery for dependencies, related documents, or implementation links; load twg-responsibility-routing for owners, experts, authority, or escalation.
Load twg-status-rollups for project, sprint, team, or leadership synthesis.
Load twg-engineering-work when the Jira anchor must be traced to PRs or repositories.
Load twg-operational-health for incident, PIR, or reliability workflows.

References

references/workitems.md - workitem reads, writes, comments, and links
references/fields-and-transitions.md - metadata-first fields and workflow changes
references/querying.md - JQL and board/backlog selection
references/rich-content.md - descriptions, comments, and mentions
references/administration.md - Jira configuration versus workitem data

Bundled files

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

references/administration.md2 KB
references/fields-and-transitions.md1 KB
references/querying.md2 KB
references/rich-content.md1 KB
references/workitems.md1 KB

Frequently asked questions

What does the Twg Jira AI skill do?

Use with root `twg` for Jira workitems, projects, boards, sprints, fields, transitions, comments, links, and administration. Applies Jira semantics and safe mutation rules.

Why use Twg Jira on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zenobi-us/dotfiles/tree/master/files/devtools/agent/bundles/developer/skills/atlassian/twg-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 Twg 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 Twg Jira?

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

Is the Twg Jira AI skill free?

Yes. It is published on GitHub by zenobi-us 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

twg-jira

CLI launcher fallback

Use When

First Route

Jira Semantics

Safe Reads And Writes

Handoffs

References

Bundled files

Frequently asked questions

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