Jira Spaces logo

Jira Spaces

Organization
NeverSight
jira-spaces

Manage Confluence spaces for project documentation. Create, list, and delete spaces with templates. Use when setting up project documentation structure or managing Confluence content areas.

Overview

PublisherNeverSight
Repositorylearn-skills.dev
Skill namejira-spaces
Stars
210
Forks
38
Bundled files
12
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.

  • 12 bundled files

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

  • Open source

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

Installation

Install the Jira Spaces 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/NeverSight/learn-skills.dev.git /tmp/learn-skills.dev
mkdir -p .claude/skills
cp -r /tmp/learn-skills.dev/data/skills-md/01000001-01001110/agent-jira-skills/jira-spaces .claude/skills/jira-spaces
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Jira Spaces 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 Spaces 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 Spaces 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 Spaces Skill

Manage Confluence spaces through the Confluence Cloud REST API. Spaces are the top-level containers for organizing project documentation, wikis, and knowledge bases.

When to Use

  • Setting up documentation structure for a new project
  • Creating spaces for different teams or initiatives
  • Listing available spaces to find documentation
  • Archiving or deleting obsolete spaces

Prerequisites

  • Confluence Cloud instance (same Atlassian account as Jira)
  • API token with Confluence access
  • Environment variables configured in .env

API Reference

Base URL

Confluence Cloud uses the same base URL as Jira Cloud but different API path:

https://your-domain.atlassian.net/wiki/rest/api

Authentication

Same as Jira - Basic Auth with email:token.

Key Endpoints

EndpointMethodDescription
/spaceGETList all spaces
/spacePOSTCreate a new space
/space/{spaceKey}GETGet space details
/space/{spaceKey}DELETEDelete a space
/space/{spaceKey}/contentGETList space content

Space Types

TypeDescriptionUse Case
globalSite-wide spaceCompany wikis, shared docs
personalUser's personal spaceIndividual notes, drafts

Creating a Space

Request

typescript
const response = await fetch(`${CONFLUENCE_URL}/wiki/rest/api/space`, {
  method: 'POST',
  headers: {
    'Authorization': `Basic ${auth}`,
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    key: 'PROJ',           // Unique space key (uppercase)
    name: 'Project Docs',   // Display name
    type: 'global',         // 'global' or 'personal'
    description: {
      plain: {
        value: 'Documentation for the project',
        representation: 'plain'
      }
    }
  })
});

Response

json
{
  "id": 12345,
  "key": "PROJ",
  "name": "Project Docs",
  "type": "global",
  "status": "current",
  "_links": {
    "webui": "/spaces/PROJ",
    "self": "https://your-domain.atlassian.net/wiki/rest/api/space/PROJ"
  }
}

Listing Spaces

Request

typescript
const response = await fetch(`${CONFLUENCE_URL}/wiki/rest/api/space?limit=25&type=global`, {
  headers: {
    'Authorization': `Basic ${auth}`,
    'Accept': 'application/json'
  }
});

Response

json
{
  "results": [
    {
      "id": 12345,
      "key": "PROJ",
      "name": "Project Docs",
      "type": "global",
      "status": "current"
    }
  ],
  "start": 0,
  "limit": 25,
  "size": 1,
  "_links": {}
}

Deleting a Space

WARNING: Deleting a space removes all pages and content permanently!

Request

typescript
const response = await fetch(`${CONFLUENCE_URL}/wiki/rest/api/space/PROJ`, {
  method: 'DELETE',
  headers: {
    'Authorization': `Basic ${auth}`
  }
});

Returns 202 Accepted (deletion is async) or 204 No Content.

Space Keys

Space keys must:

  • Be unique across the Confluence instance
  • Use only uppercase letters and numbers
  • Be 1-255 characters
  • Not start with a number

Conventions:

  • PROJ - Project-specific
  • TEAM - Team-specific
  • DOC - Documentation
  • KB - Knowledge base

Common Patterns

Create Project Documentation Space

typescript
// Create space with home page
await createSpace({
  key: 'TUSTLE',
  name: 'Tustle Project Documentation',
  description: 'Technical documentation and guides for Tustle MVP'
});

// Add standard pages
await createPage('TUSTLE', 'Getting Started', 'Overview and setup instructions...');
await createPage('TUSTLE', 'Architecture', 'System architecture documentation...');
await createPage('TUSTLE', 'API Reference', 'API endpoint documentation...');

List Team Spaces

typescript
const spaces = await listSpaces({ type: 'global', limit: 50 });
const teamSpaces = spaces.filter(s => s.name.includes('Team'));

Error Handling

StatusMeaningResolution
400Invalid space keyCheck key format (uppercase, no special chars)
401UnauthorizedCheck API token and email
403ForbiddenUser lacks space admin permissions
404Space not foundVerify space key exists
409ConflictSpace key already exists

Scripts

ScriptDescription
create-spaceCreate a new Confluence space
delete-spaceDelete a space (with confirmation)
list-spacesList all accessible spaces

Usage Examples

bash
# List all spaces
node run.js list-spaces

# Create a new space
node run.js create-space DOCS "Documentation Space"

# Delete a space (interactive confirmation)
node run.js delete-space DOCS

# Force delete without confirmation
node run.js delete-space DOCS --confirm

Related Skills

  • jira-projects - Jira project management
  • jira-issues - Issue creation for documentation tasks

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 Spaces AI skill do?

Manage Confluence spaces for project documentation. Create, list, and delete spaces with templates. Use when setting up project documentation structure or managing Confluence content areas.

Why use Jira Spaces on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/NeverSight/learn-skills.dev/tree/main/data/skills-md/01000001-01001110/agent-jira-skills/jira-spaces. 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 Spaces?

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 Spaces?

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

Is the Jira Spaces AI skill free?

It is published on GitHub by NeverSight. 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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