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Jira Driven Planning

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breaking-brake
jira-driven-planning

Jiraチケットの要件とConfluenceの関連ドキュメントを基に、Frontend/Backend/Infrastructureに分割した実装計画を策定するプランニングスキル。Jiraチケット情報とConfluence検索結果が前段で取得済みであることを前提とし、構造化された実装計画を出力する。「プランニング」「実装計画策定」「タスク分割」などの文脈で使用。

Overview

Publisherbreaking-brake
Repositorycc-wf-studio
Skill namejira-driven-planning
Stars
5.4K
Forks
568
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

    Published by breaking-brake on GitHub. Read the source before you install it.

Installation

Install the Jira Driven Planning 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.
    https://github.com/breaking-brake/cc-wf-studio/tree/main/.claude/skills/jira-driven-planning
  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/breaking-brake/cc-wf-studio.git /tmp/cc-wf-studio
mkdir -p .claude/skills
cp -r /tmp/cc-wf-studio/.claude/skills/jira-driven-planning .claude/skills/jira-driven-planning
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Jira Driven Planning 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 Driven Planning 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 Driven Planning 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 Driven Planning

Jiraチケットの要件とConfluenceの関連ドキュメントを入力として、Frontend / Backend / Infrastructure に分割した実装計画を策定する。

Workflow

  1. 前段で取得されたJiraチケット情報(タイトル、説明、受け入れ基準、優先度)を確認
  2. 前段で取得されたConfluenceドキュメント(設計書、仕様書、アーキテクチャ図)を確認
  3. planning-template.md に従って実装計画を策定
  4. 計画をユーザーに提示し、レビューを依頼

Output Requirements

  • 要件サマリーは箇条書きで簡潔に
  • 技術的アプローチはアーキテクチャ判断の根拠を含める
  • タスク分割は Frontend / Backend / Infrastructure の3軸で整理
  • 依存関係はブロッカーを明示
  • リスクは重大度と対策をセットで記載

Constraints

  • 既存のコードベースやアーキテクチャパターンを尊重する
  • 不明確な要件がある場合はユーザーに確認を求める
  • 過度に詳細な実装レベルまで踏み込まず、計画レベルに留める

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 Driven Planning AI skill do?

Jiraチケットの要件とConfluenceの関連ドキュメントを基に、Frontend/Backend/Infrastructureに分割した実装計画を策定するプランニングスキル。Jiraチケット情報とConfluence検索結果が前段で取得済みであることを前提とし、構造化された実装計画を出力する。「プランニング」「実装計画策定」「タスク分割」などの文脈で使用。

Why use Jira Driven Planning on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/breaking-brake/cc-wf-studio/tree/main/.claude/skills/jira-driven-planning. 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 Driven Planning?

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 Driven Planning?

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

Is the Jira Driven Planning AI skill free?

It is published on GitHub by breaking-brake. 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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