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Plan Plus

Organization
ww-w-ai
plan-plus

Brainstorming-enhanced PDCA planning with intent discovery and YAGNI review. For a single feature's plan use /plan-plus; for grouping multiple features under one scope/budget see /sprint master-plan (v2.1.13). Triggers: plan-plus, brainstorm, plan plus, intent

Overview

Publisherww-w-ai
Repositorybkit-claude-code
Skill nameplan-plus
Stars
601
Forks
154
Bundled files
Instructions only
LicenseApache-2.0
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 ww-w-ai on GitHub. Read the source before you install it.

Installation

Install the Plan Plus 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.
  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/ww-w-ai/bkit-claude-code.git /tmp/bkit-claude-code
mkdir -p .claude/skills
cp -r /tmp/bkit-claude-code/skills/plan-plus .claude/skills/plan-plus
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Plan Plus 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 Plan Plus 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 Plan Plus 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.

Plan Plus — Brainstorming-Enhanced PDCA Planning

Combines brainstorming's intent discovery with bkit PDCA's structured planning to produce higher-quality Plan documents through collaborative dialogue.

Overview

Plan Plus enhances the standard /pdca plan by adding 4 brainstorming phases before document generation. This ensures that user intent is fully understood, alternatives are explored, and unnecessary features are removed before any implementation begins.

When to use Plan Plus instead of /pdca plan:

  • The feature has ambiguous or complex requirements
  • Multiple implementation approaches are possible
  • You want to ensure YAGNI compliance from the start
  • The feature involves significant architectural decisions

HARD-GATE

Process Flow

Phase 0: Context Exploration (automatic)
Phase 1: Intent Discovery (1 question at a time)
Phase 2: Alternatives Exploration (2-3 approaches)
Phase 3: YAGNI Review (multiSelect verification)
Phase 4: Incremental Design Validation (section-by-section)
Phase 5: Plan Document Generation (plan-plus.template.md)
Phase 6: Next Steps → /pdca design {feature}

Phase Details

Phase 0: Project Context Exploration (Automatic)

Before asking any questions, explore the current project state:

  1. Read CLAUDE.md, package.json, pom.xml, etc. for project information
  2. Check recent 5 git commits (understand current work direction)
  3. Check existing docs/01-plan/ documents (prevent duplication)
  4. Check .bkit-memory.json (check ongoing PDCA status)

Share exploration results briefly: "I've reviewed the current project state: ..."

Phase 1: Intent Discovery (Brainstorming Style)

Principle: One question at a time, prefer multiple choice

Use AskUserQuestion tool to discover the following in order:

Q1. Core Purpose

"What is the core problem this feature solves?"

  • Provide 3-4 choices (inferred from project context)
  • Always include a custom input option
Q2. Target Users

"Who will primarily use this feature?"

  • Admin / End user / Developer / External system
Q3. Success Criteria

"What criteria would indicate this feature is successful?"

  • Derive specific, measurable criteria
Q4. Constraints (only when needed)

Conflicts with existing systems, performance requirements, technical constraints, etc.

Important: Minimize questions. Clear features need only Q1-Q2. Only proceed to Q3-Q4 for ambiguous features.

Phase 2: Alternatives Exploration (Brainstorming Core)

Always propose 2-3 approaches with trade-offs for each.

Format:

### Approach A: {name} — Recommended
- Pros: ...
- Cons: ...
- Best for: ...

### Approach B: {name}
- Pros: ...
- Cons: ...
- Best for: ...

### Approach C: {name} (optional)
- Pros: ...
- Cons: ...

Present the recommended approach first with clear reasoning. Use AskUserQuestion to let the user choose.

Phase 3: YAGNI Review (Brainstorming Core)

Perform a YAGNI (You Ain't Gonna Need It) review on the selected approach:

Use AskUserQuestion with multiSelect: true: "Select only what is essential for the first version:"

List all features and move unselected items to Out of Scope.

Principle: Don't abstract what can be done in 3 lines. Don't design for hypothetical future requirements.

Phase 4: Incremental Design Validation (Brainstorming Style)

Present the design section by section, getting approval after each:

  1. Architecture overview → "Does this direction look right?"
  2. Key components/modules → "Does this structure look right?"
  3. Data flow → "Does this flow look right?"

If the user says "no" to any section, revise only that section and re-present.

Phase 5: Plan Document Generation

Generate the Plan document using plan-plus.template.md with results from Phases 0-4.

Additional sections (not in standard plan.template.md):

  • User Intent Discovery — Core problem, target users, success criteria from Phase 1
  • Alternatives Explored — Approaches compared in Phase 2
  • YAGNI Review — Included/deferred/removed items from Phase 3
  • Brainstorming Log — Key decisions from Phases 1-4
  • Executive Summary -- Auto-synthesize 4-perspective summary (Problem/Solution/Function UX Effect/Core Value) from Phases 1-4 results. Place at document top, before numbered sections.
  • Executive Summary Response -- MANDATORY: After generating the Plan document, also output the Executive Summary table in your response so the user sees the summary immediately without opening the file.

Output Path: docs/01-plan/features/{feature}.plan.md

After document generation, update PDCA status:

  • Create Task: [Plan] {feature}
  • Update .bkit-memory.json: phase = "plan"

Phase 6: Next Steps

After Plan document generation:

Plan Plus completed
Document: docs/01-plan/features/{feature}.plan.md
Next step: /pdca design {feature}

Key Principles

PrincipleOriginApplication
One question at a timeBrainstormingSequential questions via AskUserQuestion
Explore alternativesBrainstormingMandatory 2-3 approaches in Phase 2
YAGNI ruthlesslyBrainstormingmultiSelect verification in Phase 3
Incremental validationBrainstormingSection-by-section approval in Phase 4
HARD-GATEBrainstormingNo code before approval (entire process)
Context firstBrainstormingAutomatic exploration in Phase 0

Integration with PDCA

Plan Plus produces the same output as /pdca plan and feeds seamlessly into the standard PDCA cycle:

/plan-plus {feature}     ← Enhanced planning with brainstorming
/pdca design {feature}   ← Standard PDCA continues
/pdca do {feature}
/pdca analyze {feature}
/pdca report {feature}

Usage Examples

bash
# Start brainstorming-enhanced planning
/plan-plus user-authentication

# After Plan Plus completes, continue with standard PDCA
/pdca design user-authentication
/pdca do user-authentication

Frequently asked questions

What does the Plan Plus AI skill do?

Brainstorming-enhanced PDCA planning with intent discovery and YAGNI review. For a single feature's plan use /plan-plus; for grouping multiple features under one scope/budget see /sprint master-plan (v2.1.13). Triggers: plan-plus, brainstorm, plan plus, intent

Why use Plan Plus on TypingMind?

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

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

Which AI models can use Plan Plus?

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 Plan Plus?

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

Is the Plan Plus 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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