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Multica Pm Artifact Publish

Community
it235
multica-pm-artifact-publish

产品经理产物提交规范：Confluence + JIRA Story 创建/更新、链接回写、可选钉钉。用于 @ProductManager PRD 落地与 Review 后二次提交。

Overview

Publisherit235
Repositorymultica-best-practices
Skill namemultica-pm-artifact-publish
Stars
199
Forks
29
Bundled files
9
LicenseMIT
Links
Skill sourceRepository
  • 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 Pm Artifact Publish 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/it235/multica-best-practices/tree/main/templates/zh_CN/skills/product-manager/multica-pm-artifact-publish
  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/it235/multica-best-practices.git /tmp/multica-best-practices
mkdir -p .claude/skills
cp -r /tmp/multica-best-practices/templates/zh_CN/skills/product-manager/multica-pm-artifact-publish .claude/skills/multica-pm-artifact-publish
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Multica Pm Artifact Publish 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 Pm Artifact Publish 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 Pm Artifact Publish 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.

PM Artifact Publish（产品经理产物提交规范 · 编排）

Purpose

PRD 专用编排 — 调用 platform skill 完成 Confluence / JIRA 创建与更新，回传稳定链接。不重复实现 REST 脚本。

内容结构由 multica-pm-requirement-spec 负责；本 skill 只管「提交到哪里、如何更新」。

Platform 协作

Platform skill本 skill 用途
multica-platform-confluence创建/更新 PRD 页面、拉取已有页面
multica-platform-jira创建/更新 Story、描述追加、流转、钉钉

凭据：JIRA_USERNAME / JIRA_PASSWORD（见 frontmatter 与 platform skill）。

智能体指令见 references/agent-instructions.md；创建/更新细则见 references/publish-workflow.md。

@ProductManager 标准流程

text
1. multica-pm-requirement-spec  — 结构化 PRD + 修订记录
2. multica-pm-artifact-publish — 本 skill：Confluence + JIRA + 可选钉钉

Workflow A：首次提交（创建）

  1. Confluence — 在 PRD 父页面下创建页面（HTML/Markdown 由 spec 产出）：
bash
bash scripts/confluence.sh create-page \
  "<title>" "<parent_id>" "<html>" "<space>"
# ↑ multica-platform-confluence；路径由 MULTICA_SKILLS_ROOT 解析
  1. JIRA Story — 描述含 Confluence 链接：
bash
bash scripts/jira.sh create-story \
  --project <KEY> --summary "<title>" --description "..." ...
# ↑ multica-platform-jira
  1. 可选钉钉：multica-platform-jira → notify-story

或编排脚本：

bash
export MULTICA_SKILLS_ROOT="/path/to/templates/skills"
bash scripts/publish-prd.sh --project PROJ --summary "..." --html-file prd.html \
  -- --need-user <user> --background "..." ...
  1. 回传 Leader：Confluence URL、JIRA Key、创建时间、修订版本号。

Workflow B：Review 后二次提交（更新）

禁止为同一需求重复 create-story；Review 修订走更新链路。

  1. Confluence — 对已有页面 upsert/update（保留 pageId；修订记录写入正文）
  2. JIRA — 对已有 Story：
    • append-description 或 update 摘要/描述（含「修订 vN」与 Confluence 链接）
    • 禁止新建第二个 Story 代替修订
  3. 回传更新后的链接 + 修订版本号，供 ProductReviewer 复审

Workflow C–E

状态流转、排期、Confluence 阻塞降级（Workflow E：PRD 全文写入 JIRA 描述）——见 multica-platform-jira / multica-platform-confluence SKILL.md。

配置

  • PRD 父页面 / space：multica-platform-confluence/config.yaml
  • JIRA 字段 / 项目：multica-platform-jira/config.yaml
  • 本目录 config.yaml：团队 PRD 默认值与钉钉映射（向后兼容）

用法（角色侧）

text
先用 multica-pm-requirement-spec 结构化 PRD，
再用 multica-pm-artifact-publish 落地并回传链接；
Review FAIL 后修订 PRD，再用 publish Workflow B 更新（勿重复创建 Story）。

为什么有效

JIRA / Confluence 共用 platform skill；创建 vs 更新分离，避免 Review 迭代产生重复 Story；编排通过 skill 名 + MULTICA_SKILLS_ROOT 定位。

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 Pm Artifact Publish AI skill do?

产品经理产物提交规范：Confluence + JIRA Story 创建/更新、链接回写、可选钉钉。用于 @ProductManager PRD 落地与 Review 后二次提交。

Why use Multica Pm Artifact Publish on TypingMind?

Because you install it once and use it with any model. Multica Pm Artifact Publish 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 Pm Artifact Publish 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/product-manager/multica-pm-artifact-publish. 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 Pm Artifact Publish?

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 Pm Artifact Publish?

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

Is the Multica Pm Artifact Publish 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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