Multica Platform Jira

Community

it235

multica-platform-jira

JIRA 读写：Issue 查询、Confluence 链接解析、Story 创建、流转、排期、描述回写、钉钉。平台 skill，与 Confluence 解耦。跨平台优先 jira_cli.py。

Overview

Publisher	it235
Repository	`multica-best-practices`
Skill name	`multica-platform-jira`
Stars	199
Forks	29
Bundled files	9
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.
9 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by it235 on GitHub. Read the source before you install it.

Installation

Install the Multica Platform 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.
https://github.com/it235/multica-best-practices/tree/main/templates/zh_CN/skills/platform/multica-platform-jira
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/it235/multica-best-practices/tree/main/templates/zh_CN/skills/platform/multica-platform-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/it235/multica-best-practices.git /tmp/multica-best-practices
mkdir -p .claude/skills
cp -r /tmp/multica-best-practices/templates/zh_CN/skills/platform/multica-platform-jira .claude/skills/multica-platform-jira

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

Use it in TypingMind

Enable Multica Platform 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 Multica Platform 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 Multica Platform 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.

Platform · JIRA

Platform 协作

本 skill 为 platform 层；供 artifact / Tester T1 等按名调用。读：get_issue.py、get-confluence-url；写：Story / append / transition。

Purpose

JIRA 读 + 写能力：查询 Issue、从描述解析 Confluence 需求页（Issue Hub）；写入 Story、流转、排期、描述追加、钉钉。

跨平台：优先 python scripts/jira_cli.py（Windows / macOS / Linux）；jira.sh 为 Unix 全功能封装，非 artifact 流程必需。

Issue Hub

JIRA Issue 描述（及 remote link）中的 第一个 Confluence pageId = 本需求的 PRD/需求正文页。

下游文档产物（技术设计等）以该页为 Confluence 父页面（由 multica-platform-confluence publish_design.py 自动解析）。
Leader / 下游读 PRD：本 skill 解析链接 → Confluence fetch_page.py。
关联 Issue：get_issue.py 输出 linked_issues；开工前必读规则见 references/upstream-read.md 与 docs/multi-repo-and-issue-links.md §2。

Files

text
multica-platform-jira/
├── SKILL.md
├── config.yaml
├── .env.example
└── scripts/
    ├── jira_cli.py          # 跨平台 CLI（推荐）
    ├── get_issue.py         # Issue JSON（Tester fetch_all）
    ├── jira.sh              # Unix 全功能封装（可选）
    ├── lib/jira_client.py
    └── requirements.txt

Read（跨平台 CLI）

bash
pip install -r scripts/requirements.txt

# 完整 Issue JSON（含 Confluence/Figma 链接、附件、linked_issues）— Tester fetch_all 使用
python scripts/jira_cli.py get-issue --url "https://jira.../browse/PROJ-123" --output data/jira.json
# 或直接
python scripts/get_issue.py --url "https://jira.../browse/PROJ-123" --output data/jira.json

# 含关联 Issue 一层描述与链接（迭代/依赖需求）
python scripts/get_issue.py --url "https://jira.../browse/PROJ-123" --with-linked -o data/jira-full.json

# Issue 中的 Confluence 链接 / pageId
python scripts/jira_cli.py get-confluence-url <ISSUE-KEY> --json

# 作为文档产物父页面的 pageId（第一个 Confluence 链接）
python scripts/jira_cli.py resolve-parent-page-id <ISSUE-KEY>

Unix 可选：bash scripts/jira.sh get-issue <ISSUE-KEY>、bash scripts/jira.sh search ...

Write · 产物链接回写

bash
# 通用 Wiki 块追加
python scripts/jira_cli.py append-description <ISSUE-KEY> "h3. 标题\n* [链接|url]\n"

# 结构化产物链接（设计 / API 等）
python scripts/jira_cli.py append-artifact-link <ISSUE-KEY> \
  --section "设计文档 (Design Document)" \
  --title "xxx [AI]" \
  --url "http://confluence.../pageId=..." \
  --source design.md

publish_design.py --append-jira 会在发布成功后自动调用等价逻辑。

与产物 / 阶段 skill 的关系

调用方	实际调用
`multica-pm-artifact-publish`	create-story / transition / …
`multica-artifact-architect`	get-confluence-url、append-artifact-link（发布由 confluence skill）
`multica-artifact-backend` / `-frontend`	append-artifact-link
`multica-test-t1-design`	`get_issue.py` / `get-issue`；`import_to_tracker.py` 仍在本 skill

完整矩阵见 docs/platform-collaboration.md。

Adapting To A New Team

改 config.yaml：jira.url、projects.*.fields、钉钉映射等。

为什么有效

Issue 自带 JIRA 编号与 Confluence 需求链接，父页面无需写死在角色提示词；Python CLI 避免 Windows 上依赖 bash。

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 Multica Platform Jira AI skill do?

JIRA 读写：Issue 查询、Confluence 链接解析、Story 创建、流转、排期、描述回写、钉钉。平台 skill，与 Confluence 解耦。跨平台优先 jira_cli.py。

Why use Multica Platform Jira on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/it235/multica-best-practices/tree/main/templates/zh_CN/skills/platform/multica-platform-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 Multica Platform 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 Multica Platform Jira?

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

Is the Multica Platform Jira AI skill free?

Yes. It is published on GitHub by it235 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

Platform · JIRA

Platform 协作

Purpose

Issue Hub

Files

Read（跨平台 CLI）

Write · 产物链接回写

与产物 / 阶段 skill 的关系

Adapting To A New Team

为什么有效

Bundled files

Frequently asked questions

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