Pdca Watch

Q: Why use Pdca Watch on TypingMind?

Because you install it once and use it with any model. Pdca Watch 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.

Q: How do I install Pdca Watch in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ww-w-ai/bkit-claude-code/tree/main/skills/pdca-watch. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Q: Which AI models can use Pdca Watch?

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.

Q: How many AI models can I use with Pdca Watch?

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

Q: Is the Pdca Watch AI skill free?

Yes. It is published on GitHub by ww-w-ai under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

Q: 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.

Q: 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.

Organization

ww-w-ai

pdca-watch

Live PDCA dashboard ticking every 30s — reads pdca-status.json + token-ledger.ndjson tail, renders fixed-width panel via CC /loop. Triggers: pdca watch, live dashboard, watch progress

Overview

Publisher	ww-w-ai
Repository	`bkit-claude-code`
Skill name	`pdca-watch`
Stars	601
Forks	154
Bundled files	Instructions only
License	Apache-2.0
Links	Skill source Repository Homepage

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 ww-w-ai on GitHub. Read the source before you install it.

Installation

Install the Pdca Watch 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.
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.

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/ww-w-ai/bkit-claude-code.git /tmp/bkit-claude-code
mkdir -p .claude/skills
cp -r /tmp/bkit-claude-code/skills/pdca-watch .claude/skills/pdca-watch

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

Use it in TypingMind

Enable Pdca Watch 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 Watch 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 Watch 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 Watch — Live Tick Dashboard

v2.1.11 Sprint β FR-β4. Wraps lib/dashboard/watch.js over CC's /loop (v2.1.71+). Read-only — only consumes state files; never writes. Falls back to a single render when /loop is unsupported (E-β4-01).

Arguments

Argument	Description	Example
(none)	Auto-resolve active feature from `pdca-status.primaryFeature`	`/pdca-watch`
`<feature>`	Watch a specific feature by name	`/pdca-watch bkit-v2111-integrated-enhancement`

Behavior

Resolution

If <feature> is provided, use it verbatim.
Else read .bkit/state/pdca-status.json → primaryFeature, then activeFeatures[0] as fallback.
If still no feature → render "No active PDCA feature. Start one with /pdca pm <feature>" and exit.

Tick (every 30s via `/loop`)

For each tick, lib/dashboard/watch.js#renderTick produces a panel with:


Watch  <feature> — tick N (HH:MM:SS)
─────────────────────────────────────────────────────────────
Phase: <phase>     Match: <%>    Iter: <n / 5>
Tokens: <in> in / <out> out · samples <N>
Est cost: $<USD>
─────────────────────────────────────────────────────────────

Data sources:

Phase / matchRate / iterationCount: pdca-status.features[<feature>]
Token totals: last 50 lines of token-ledger.ndjson
Cost: Sonnet-class flat estimate ($3/Mtok in, $15/Mtok out)

Termination

Ctrl-C from user
Feature phase === 'completed' or phase === 'archived'
After max 60 ticks (≈30 min) — caller restarts if more time needed

CC `/loop` Support

CC Version	Behavior
≥ 2.1.71	Native `/loop 30s` ticker
< 2.1.71	E-β4-01: single render + warning, no loop
Unknown	Same as < 2.1.71 (fail-safe)

The check is performed via watch.checkLoopSupport({ ccVersion }) — caller passes the resolved CC version from lib/infra/cc-version-checker.

Security

Pure read on .bkit/state/pdca-status.json and .bkit/runtime/token-ledger.ndjson.
Tail bounded to MAX_TAIL_LINES = 200 regardless of caller input — defends against pathological NDJSON growth.
No subprocess spawning, no network.
PII redaction on the ledger is owned by the writer (Token Accountant); watch only reads what's already redacted.

Module Dependencies

Module	Function	Usage
`lib/dashboard/watch.js`	`resolveFeature()`	Auto-detect when no arg
`lib/dashboard/watch.js`	`renderTick()`	One frame per tick
`lib/dashboard/watch.js`	`tailLedger()`	NDJSON tail (≤200)
`lib/dashboard/watch.js`	`checkLoopSupport()`	CC version gate
`lib/infra/cc-version-checker.js`	`getCurrent()`	Version source

Examples

bash
# Auto-detect active feature
/pdca-watch

# Watch a specific feature
/pdca-watch bkit-v2111-integrated-enhancement

/pdca status — single snapshot (no loop)
/control trust — trust score informs auto-escalation
/pdca-fast-track — Daniel-mode auto-approve checkpoints

ARGUMENTS:

Frequently asked questions

What does the Pdca Watch AI skill do?

Live PDCA dashboard ticking every 30s — reads pdca-status.json + token-ledger.ndjson tail, renders fixed-width panel via CC /loop. Triggers: pdca watch, live dashboard, watch progress

Why use Pdca Watch on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ww-w-ai/bkit-claude-code/tree/main/skills/pdca-watch. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Pdca Watch?

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 Watch?

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

Is the Pdca Watch AI skill free?

Yes. It is published on GitHub by ww-w-ai under the Apache-2.0 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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Pdca Watch

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

PDCA Watch — Live Tick Dashboard

Arguments

Behavior

Resolution

Tick (every 30s via `/loop`)

Termination

CC `/loop` Support

Security

Module Dependencies

Examples

Related

Frequently asked questions

Set up your own AI workspace now

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

PDCA Watch — Live Tick Dashboard

Arguments

Behavior

Resolution

Tick (every 30s via /loop)

Termination

CC /loop Support

Security

Module Dependencies

Examples

Related

Frequently asked questions

Related AI Skills

Set up your own AI workspace now

Tick (every 30s via `/loop`)

CC `/loop` Support