Pm Journal logo

Pm Journal

Community
wei63w
pm-journal

Persist this session's intent, extract change points, refresh the iteration timeline, and list optimization suggestions.

Overview

Publisherwei63w
Repositorypm-manager
Skill namepm-journal
Stars
89
Forks
0
Bundled files
Instructions only
LicenseMIT
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by wei63w on GitHub. Read the source before you install it.

Installation

Install the Pm Journal 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/wei63w/pm-manager/tree/main/adapters/cursor/skills/pm-journal
  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/wei63w/pm-manager.git /tmp/pm-manager
mkdir -p .claude/skills
cp -r /tmp/pm-manager/adapters/cursor/skills/pm-journal .claude/skills/pm-journal
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pm Journal 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 Pm Journal 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 Pm Journal 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.

User Input

text
$ARGUMENTS

Accepted: empty | a short session note | --kind consult|code|fix|docs|refactor | file paths the user actually named.

Outline

/pm-journal 只管开发记录与意图。用户以中文交互时用中文回复。不监听后台对话;按需落盘。未确认不改业务代码。

  1. Require .pm/。缺则建议 /pm-init。
  2. 先读 .pm/state/session.json、timeline.md、suggestions.md、dialogue.md 与 map.json。禁止为找记录做无过滤全库递归。
  3. 若用户描述了本轮在做什么、贴了对话、或点名了文件:运行
    pm log --kind … --intent "…" --file <用户点名的路径> "脱敏摘录"
    不可判断就让 CLI 标 unresolved,禁止编造文件列表。
  4. 运行 pm journal,刷新并打开:
    • .pm/state/dialogue.md 对话落盘
    • .pm/state/session.json 本轮意图
    • .pm/state/changes.md 变更点
    • .pm/state/timeline.md 迭代时间线
    • .pm/state/suggestions.md 优化建议
  5. 中文汇报:场景(咨询/代码/修复/重构/文档)、目标、变更文件、P0/P1 建议、时间线最近几条。建议只提示,不自动建待办、不改业务树。
  6. Closing:_closing.md 轻量档。指向已存在的 timeline / suggestions / dialogue。

Done When

  • 对话已脱敏落盘(或明确无需新笔记)
  • 时间线与建议已刷新
  • 未编造文件;无秘密原文

Shared Workflow

On-demand only. Map-first. Redact before write. Confirm-before-write for app code. Design baseline: docs/prd.md + 宪章。

Frequently asked questions

What does the Pm Journal AI skill do?

Persist this session's intent, extract change points, refresh the iteration timeline, and list optimization suggestions.

Why use Pm Journal on TypingMind?

Because you install it once and use it with any model. Pm Journal 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 Pm Journal in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/wei63w/pm-manager/tree/main/adapters/cursor/skills/pm-journal. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Pm Journal?

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 Pm Journal?

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

Is the Pm Journal AI skill free?

Yes. It is published on GitHub by wei63w 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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