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Pdca

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twhsi
pdca

Create Chinese monospaced compass-style PDCA or CAPD problem-solving cards using East-West-South-North-Center layout, full-width and half-width spaces, diagonal Unicode arrows, and strict Chinese character limits. Use when Codex needs to turn a problem, incident, decision tradeoff, root-cause analysis, improvement cycle, or CAPD/PDCA workflow into a square text diagram, Hermes/Discord-ready card, or Chinese 方位九宮圖 with center ◎, north Plan, east Do, south Check, west Action, and four diagonal transition arrows.

Overview

Publishertwhsi
Repositoryskills
Skill namepdca
Stars
259
Forks
37
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 twhsi on GitHub. Read the source before you install it.

Installation

Install the Pdca 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/twhsi/skills/tree/main/skills/pdca
  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/twhsi/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/pdca .claude/skills/pdca
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pdca 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 Pdca 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 Pdca 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.

PDCA / CAPD Compass Card

Use this skill to transform a problem into a Chinese text diagram shaped like a compass: North, East, South, West, four diagonal arrows, and a center ◎ core. The output should feel like a fixed-width visual card, not a prose explanation.

Core Rules

  • Use a fenced text code block for the final diagram.
  • Prefer Chinese labels and short phrases.
  • Use full-width spaces   for large horizontal alignment and half-width spaces only for small adjustments.
  • Keep the center phrase at 8 Chinese characters or fewer, prefixed with ◎.
  • Keep each outer compass phrase at 8 Chinese characters or fewer when the user requests strict eight-character limits.
  • Make the diagram readable in a monospaced environment such as Discord, Hermes, terminal, or Markdown preview.
  • Avoid over-explaining inside the diagram. Let placement, arrows, and labels carry the structure.

Compass Mapping

  • North 北: 【P|Plan 計畫】 for goals, options, choices, hypotheses, and intended destination.
  • East 東: 【D|Do 執行】 for concrete measures, steps,现场 action, and use of methods.
  • South 南: 【C|Check 檢查】 for facts, results, confirmation, and next-cycle evidence.
  • West 西: 【A|Action 改善】 for cause discovery, root-cause pursuit, correction, and institutional repair.
  • Center 中: 【◎核心】 for the problem essence, incident, contradiction, or decision point.

For CAPD, the cycle begins at Check:

  • Check -> Action -> Plan -> Do -> Check
  • Use CAPD when the task starts from現況認識, incident confirmation, observation, or evidence.

For PDCA, the cycle begins at Plan:

  • Plan -> Do -> Check -> Action -> Plan
  • Use PDCA when the task starts from a goal, plan, proposal, or project improvement loop.

Arrow Rules

Use 45-degree Unicode arrows at the four corners:

  • ↗ means Action -> Plan: root causes become better plans.
  • ↘ means Plan -> Do: plans become concrete execution.
  • ↙ means Do -> Check: execution produces results to inspect.
  • ↖ means Check -> Action: inspection returns to root-cause improvement.

Place arrows between the compass quadrants with enough full-width spacing to preserve the visual loop.

Output Template

Adapt this template. Keep line lengths visually balanced rather than mathematically perfect.

text
               北
           【P|Plan 計畫】
           方案一:____
           方案二:____
           選 擇:____


       ↗                 ↘
  西【A|Action】     中【◎核心】     東【D|Do】
   原因發現        ◎____      手段活用
   ────────    ────────   ────────
   ____        ____       ____
   ____        ____       ____
   ____        ____       ____


       ↖                 ↙
           【C|Check 檢查】
           事 實:____
           結 果:____
           下一輪:____
               南

Construction Workflow

  1. Extract the center problem as a phrase of 8 Chinese characters or fewer.
  2. Decide whether the loop is CAPD or PDCA from the user's starting point.
  3. Fill the four directions:
    • Plan: options, desired end state, chosen principle.
    • Do: immediate measures and executable steps.
    • Check: confirmed facts, result state, what to inspect next.
    • Action: causes, failures, root-cause questions, recurrence prevention.
  4. Compress each phrase until it fits the requested width.
  5. Render a single text code block with full-width spacing and arrows.
  6. If helpful, add a brief note after the diagram listing the cycle order and any assumptions.

Phrase Compression

When content is too long, compress meaning before widening the diagram:

  • 老虎已經逃出籠子 -> 老虎逃走
  • 人命安全與動物保護之間的取捨 -> 人獸取捨
  • 封鎖現場並避免民眾靠近 -> 封鎖現場
  • 防止同類事件再次發生 -> 防止再發

Prefer four-character and six-character Chinese compounds when possible. Use eight characters only when needed.

Example

text
               北
           【P|Plan 計畫】
           方案A:人命尊重
           方案B:動物愛護
           選 擇:先保人命


       ↗                 ↘
  西【A|Action】     中【◎核心】     東【D|Do】
   原因發現        ◎老虎逃走      手段活用
   ────────    ────────   ────────
   管理失誤        人獸危險       封鎖現場
   機制失效        取捨判斷       搜尋活捉
   根因追究        安全優先       必要處置


       ↖                 ↙
           【C|Check 檢查】
           事 實:老虎逃出
           結 果:安全控制
           下一輪:防止再發
               南

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 Pdca AI skill do?

Create Chinese monospaced compass-style PDCA or CAPD problem-solving cards using East-West-South-North-Center layout, full-width and half-width spaces, diagonal Unicode arrows, and strict Chinese character limits. Use when Codex needs to turn a problem, incident, decision tradeoff, root-cause analysis, improvement cycle, or CAPD/PDCA workflow into a square text diagram, Hermes/Discord-ready card, or Chinese 方位九宮圖 with center ◎, north Plan, east Do, south Check, west Action, and four diagonal transition arrows.

Why use Pdca on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/twhsi/skills/tree/main/skills/pdca. 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 Pdca?

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 Pdca?

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

Is the Pdca AI skill free?

It is published on GitHub by twhsi. 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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