Pdca Fast Track

Organization

ww-w-ai

pdca-fast-track

Daniel-mode fast-track auto-approves Checkpoint 1-8 when Trust ≥ 80, fastTrack on, Design doc exists. Else L2 + manual gates. Triggers: pdca fast-track, skip checkpoints, auto approve

Overview

Publisher	ww-w-ai
Repository	`bkit-claude-code`
Skill name	`pdca-fast-track`
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 Fast Track 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-fast-track .claude/skills/pdca-fast-track

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

Use it in TypingMind

Enable Pdca Fast Track 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 Fast Track 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 Fast Track 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 Fast Track — Daniel's Track

v2.1.11 Sprint β FR-β5. Wraps lib/control/fast-track.js. Provides a single auto-escalation gate for users who have already earned Trust ≥ 80 and produced a Design doc — Checkpoints 1-8 default to Recommended without prompting. Falls back to L2 + manual review the moment any preconditions fails (E-β5-01 / E-β5-02).

Arguments

Argument	Description	Example
`<feature>`	Feature name to engage fast-track for	`/pdca-fast-track bkit-v2111-integrated-enhancement`

Behavior

Preconditions (all must pass; fail-open)

Config enabled — bkit.config.json#control.fastTrack.enabled === true
Trust Score ≥ 80 — .bkit/state/trust-profile.json#trustScore ≥ fastTrack.minTrustScore (default 80)
Design doc exists — resolved via bkit.config.json#pdca.docPaths.design templates against <feature>

When any block, surface the reason with a remedy hint:

Block	Remedy hint
`disabled_in_config`	"Set `control.fastTrack.enabled = true` in bkit.config.json"
`trust_score_too_low`	"Run a few `/pdca check` cycles to raise trust"
`design_doc_missing`	"Run `/pdca design <feature>` first"

On engage (all preconditions pass)

Recommend Automation Level escalation L2 → fastTrack.autoLevel (default L3).

Persist engagement record to .bkit/runtime/fast-track-log.json:

json
{
  "engaged": true,
  "feature": "<feature>",
  "engagedAt": "<ISO>",
  "trustScore": 85,
  "autoLevel": "L3",
  "fallbackLevel": "L2",
  "skipCheckpoints": [1,2,3,4,5,6,7,8],
  "designPath": "docs/02-design/features/<feature>.design.md",
  "decisions": []
}

Each Checkpoint 1-8 invocation calls fast-track.recordCheckpoint to append a decision entry (audit trail).
If a Checkpoint surfaces NO "Recommended" option, call recordCheckpoint({ decision: 'fallback', reason: 'no_recommended' }) and pause to fallbackLevel.

Security

All file IO is rooted at process.env.CLAUDE_PROJECT_DIR (or repo root).
Audit log JSON is OWASP A08-clean: no user-controlled keys; only whitelisted checkpoint (number), decision (enum), reason (sanitized string).
Design doc patterns are read from bkit.config.json — no traversal via untrusted feature arg (pattern is {feature} placeholder only).
Trust score read is fail-safe: missing file returns 0 (blocks engage).

Module Dependencies

Module	Function	Usage
`lib/control/fast-track.js`	`evaluatePreconditions(feature)`	Block list
`lib/control/fast-track.js`	`engage(feature)`	Audit + record
`lib/control/fast-track.js`	`recordCheckpoint({...})`	Per-CP decision
`lib/control/fast-track.js`	`isCheckpointSkipped(n)`	Should we skip?

Examples

bash
# Engage on a Design-complete feature
/pdca-fast-track bkit-v2111-integrated-enhancement

# Result if Trust < 80
# Block: trust_score_too_low (current 68 < required 80)

# Result if Design missing
# Block: design_doc_missing → run /pdca design first

/control trust — current Trust Score breakdown
/control level <0-4> — manual override
/pdca-watch — observe progress while fast-tracking
/pdca design <feature> — required prerequisite

ARGUMENTS:

Frequently asked questions

What does the Pdca Fast Track AI skill do?

Daniel-mode fast-track auto-approves Checkpoint 1-8 when Trust ≥ 80, fastTrack on, Design doc exists. Else L2 + manual gates. Triggers: pdca fast-track, skip checkpoints, auto approve

Why use Pdca Fast Track on TypingMind?

Because you install it once and use it with any model. Pdca Fast Track 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 Fast Track 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-fast-track. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Pdca Fast Track?

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 Fast Track?

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

Is the Pdca Fast Track 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 Fast Track

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

PDCA Fast Track — Daniel's Track

Arguments

Behavior

Preconditions (all must pass; fail-open)

On engage (all preconditions pass)

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 Fast Track — Daniel's Track

Arguments

Behavior

Preconditions (all must pass; fail-open)

On engage (all preconditions pass)

Security

Module Dependencies

Examples

Related

Frequently asked questions

Related AI Skills

Set up your own AI workspace now