Jira Agile logo

Jira Agile

Organization
NeverSight
jira-agile

Manage Jira Agile boards and sprints. Use when listing boards, creating sprints, or moving issues to/from sprints.

Overview

PublisherNeverSight
Repositorylearn-skills.dev
Skill namejira-agile
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 Agile 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-agile .claude/skills/jira-agile
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Jira Agile 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 Agile 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 Agile 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 Agile Skill

Purpose

Manage Jira Agile boards and sprints - list boards, manage sprints, move issues to sprints.

When to Use

  • Listing Scrum/Kanban boards
  • Managing sprints (create, start, end)
  • Moving issues to/from sprints
  • Getting sprint issues

Prerequisites

  • Authenticated JiraClient (see jira-auth skill)
  • Board/sprint management permissions
  • Note: Uses /rest/agile/1.0/ NOT /rest/api/3/

Implementation Pattern

Step 1: Create Agile Client Extension

typescript
class JiraAgileClient extends JiraClient {
  async agileRequest<T>(path: string, options: RequestInit = {}): Promise<T> {
    const url = `${this.baseUrl}/rest/agile/1.0${path}`;
    const response = await fetch(url, {
      ...options,
      headers: { ...this.headers, ...options.headers },
    });

    if (!response.ok) {
      const error = await response.json().catch(() => ({}));
      throw new Error(`Jira Agile API error: ${response.status} - ${JSON.stringify(error)}`);
    }

    return response.json();
  }
}

Step 2: List Boards

typescript
interface Board {
  id: number;
  self: string;
  name: string;
  type: 'scrum' | 'kanban';
  projectKey?: string;
}

interface BoardsResponse {
  values: Board[];
  startAt: number;
  maxResults: number;
  total: number;
  isLast: boolean;
}

async function listBoards(
  client: JiraAgileClient,
  options: {
    type?: 'scrum' | 'kanban';
    projectKeyOrId?: string;
    maxResults?: number;
  } = {}
): Promise<Board[]> {
  const params = new URLSearchParams();
  if (options.type) params.set('type', options.type);
  if (options.projectKeyOrId) params.set('projectKeyOrId', options.projectKeyOrId);
  if (options.maxResults) params.set('maxResults', String(options.maxResults));

  const response = await client.agileRequest<BoardsResponse>(
    `/board?${params.toString()}`
  );
  return response.values;
}

Step 3: Get Board Sprints

typescript
interface Sprint {
  id: number;
  self: string;
  state: 'future' | 'active' | 'closed';
  name: string;
  startDate?: string;
  endDate?: string;
  goal?: string;
}

async function getBoardSprints(
  client: JiraAgileClient,
  boardId: number,
  state?: 'future' | 'active' | 'closed' | string
): Promise<Sprint[]> {
  const params = state ? `?state=${state}` : '';
  const response = await client.agileRequest<{ values: Sprint[] }>(
    `/board/${boardId}/sprint${params}`
  );
  return response.values;
}

Step 4: Get Sprint Issues

typescript
interface SprintIssue {
  id: string;
  key: string;
  self: string;
  fields: {
    summary: string;
    status: { name: string };
    assignee?: { displayName: string };
  };
}

async function getSprintIssues(
  client: JiraAgileClient,
  sprintId: number,
  options: {
    maxResults?: number;
    startAt?: number;
  } = {}
): Promise<SprintIssue[]> {
  const params = new URLSearchParams();
  if (options.maxResults) params.set('maxResults', String(options.maxResults));
  if (options.startAt) params.set('startAt', String(options.startAt));

  const response = await client.agileRequest<{ issues: SprintIssue[] }>(
    `/sprint/${sprintId}/issue?${params.toString()}`
  );
  return response.issues;
}

Step 5: Move Issues to Sprint

typescript
async function moveIssuesToSprint(
  client: JiraAgileClient,
  sprintId: number,
  issueKeys: string[],
  options: {
    rankBeforeIssue?: string;
    rankAfterIssue?: string;
  } = {}
): Promise<void> {
  await client.agileRequest(`/sprint/${sprintId}/issue`, {
    method: 'POST',
    body: JSON.stringify({
      issues: issueKeys,
      ...options,
    }),
  });
}

Step 6: Create Sprint

typescript
interface CreateSprintInput {
  name: string;
  boardId: number;
  startDate?: string;
  endDate?: string;
  goal?: string;
}

async function createSprint(
  client: JiraAgileClient,
  input: CreateSprintInput
): Promise<Sprint> {
  return client.agileRequest<Sprint>('/sprint', {
    method: 'POST',
    body: JSON.stringify({
      name: input.name,
      originBoardId: input.boardId,
      startDate: input.startDate,
      endDate: input.endDate,
      goal: input.goal,
    }),
  });
}

Step 7: Start/End Sprint

typescript
async function startSprint(
  client: JiraAgileClient,
  sprintId: number,
  startDate: string,
  endDate: string
): Promise<void> {
  await client.agileRequest(`/sprint/${sprintId}`, {
    method: 'POST',
    body: JSON.stringify({
      state: 'active',
      startDate,
      endDate,
    }),
  });
}

async function endSprint(
  client: JiraAgileClient,
  sprintId: number
): Promise<void> {
  await client.agileRequest(`/sprint/${sprintId}`, {
    method: 'POST',
    body: JSON.stringify({
      state: 'closed',
    }),
  });
}

curl Examples

List Boards

bash
curl -X GET "https://mycompany.atlassian.net/rest/agile/1.0/board?type=scrum" \
  -H "Authorization: Basic $(echo -n 'email:token' | base64)" \
  -H "Accept: application/json"

Get Board Sprints

bash
curl -X GET "https://mycompany.atlassian.net/rest/agile/1.0/board/1/sprint?state=active,future" \
  -H "Authorization: Basic $(echo -n 'email:token' | base64)" \
  -H "Accept: application/json"

Move Issues to Sprint

bash
curl -X POST "https://mycompany.atlassian.net/rest/agile/1.0/sprint/1/issue" \
  -H "Authorization: Basic $(echo -n 'email:token' | base64)" \
  -H "Content-Type: application/json" \
  -d '{"issues": ["PROJ-123", "PROJ-124"]}'

Create Sprint

bash
curl -X POST "https://mycompany.atlassian.net/rest/agile/1.0/sprint" \
  -H "Authorization: Basic $(echo -n 'email:token' | base64)" \
  -H "Content-Type: application/json" \
  -d '{"name": "Sprint 1", "originBoardId": 1, "goal": "Complete MVP"}'

API Endpoints Summary

OperationMethodPath
List boardsGET/board
Get boardGET/board/{boardId}
Get board sprintsGET/board/{boardId}/sprint
Get sprintGET/sprint/{sprintId}
Create sprintPOST/sprint
Update sprintPUT/sprint/{sprintId}
Delete sprintDELETE/sprint/{sprintId}
Get sprint issuesGET/sprint/{sprintId}/issue
Move issues to sprintPOST/sprint/{sprintId}/issue

Common Mistakes

  • Using /rest/api/3/ instead of /rest/agile/1.0/
  • Trying to add issues to closed sprints
  • Kanban boards don't have sprints
  • Sprint IDs are board-specific

References

Version History

  • 2025-12-10: Created

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 Agile AI skill do?

Manage Jira Agile boards and sprints. Use when listing boards, creating sprints, or moving issues to/from sprints.

Why use Jira Agile on TypingMind?

Because you install it once and use it with any model. Jira Agile 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 Agile 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-agile. 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 Agile?

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 Agile?

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

Is the Jira Agile 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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