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Plan Plus

Organization
ww-w-ai
plan-plus

Plan Plus — Brainstorming-Enhanced PDCA Planning. Combines intent discovery from brainstorming methodology with PDCA's structured planning. Produces higher-quality Plan documents by exploring user intent, comparing alternatives, and validating incrementally. Triggers: plan-plus, brainstorm plan, enhanced plan, deep plan, 플랜플러스, 브레인스토밍, 심층 기획, プランプラス, ブレインストーミング, 深度计划, 头脑风暴, plan plus, planificación avanzada, plan plus, planification avancée, Plan Plus, erweiterte Planung, plan plus, pianificazione avanzata

Overview

Publisherww-w-ai
Repositorybkit-gemini
Skill nameplan-plus
Stars
66
Forks
16
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-gemini.git /tmp/bkit-gemini
mkdir -p .claude/skills
cp -r /tmp/bkit-gemini/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

Produces higher-quality Plan documents by exploring user intent, comparing alternatives, and validating incrementally.

HARD-GATE

Do NOT write implementation code until the Plan is approved by the user.

All output in this skill is documentation and planning artifacts only. No source code files may be created or modified until the user explicitly approves the final Plan document.

Key Principles

  1. Think before coding — Planning prevents wasted effort.
  2. User intent over assumptions — Ask, do not guess.
  3. Minimal viable plan — Cover what matters, skip what does not.
  4. Iterative refinement — Build the plan in stages with user feedback.
  5. Evidence-based decisions — Use research and data, not opinion.
  6. YAGNI discipline — If the user does not need it now, exclude it.

7-Phase Workflow

Phase 0: Project Context Exploration (auto)

Automatically gather project context before interacting with the user.

  1. Read existing documentation in docs/01-plan/, docs/02-design/.
  2. Scan code structure: project root files, src/, lib/, package.json, config files.
  3. Check .pdca-status.json for current PDCA state.
  4. Identify existing features, tech stack, and conventions.

Output: Internal context summary (not shown to user unless requested).

Phase 1: Intent Discovery

Ask the user 4 structured questions with numbered options:

  1. What — What is the feature or change?
    • Provide 3-4 interpretations based on context, let user pick or clarify.
  2. Why — What problem does this solve?
    • Suggest 2-3 possible motivations.
  3. Who — Who are the target users or stakeholders?
    • List likely user personas from project context.
  4. How — What approach or constraints exist?
    • Propose 2-3 technical directions.

Format: Present each question with numbered options. Wait for user response before proceeding.

Phase 2: Alternative Exploration

Based on Phase 1 answers, present 2-3 alternative approaches in a comparison table:

CriteriaApproach AApproach BApproach C
Complexity
Time estimate
Risk level
Scalability
Recommendation

Ask user to select or combine approaches.

Phase 3: YAGNI Review

For each requirement identified so far, classify:

RequirementClassificationRationale
...Must-haveCore to the feature
...Nice-to-haveUseful but not blocking
...YAGNINot needed now, defer

Remove YAGNI items from the plan scope. Move Nice-to-have items to a "Future Considerations" section.

Phase 4: Incremental Design Validation

Present the plan section by section for approval:

  1. Show Objective & Scope — wait for approval.
  2. Show Requirements — wait for approval.
  3. Show Technical Approach — wait for approval.
  4. Show Success Criteria — wait for approval.
  5. Show Risk Assessment — wait for approval.

If the user requests changes to any section, revise and re-present that section.

Phase 5: Plan Document Generation

After all sections are approved:

  1. Generate the full Plan document using templates/plan.template.md.
  2. Save to docs/01-plan/features/{feature}.plan.md.
  3. Update .pdca-status.json with plan completion.
  4. Create tracker task: [Plan-Plus] {feature}.

Phase 6: Next Steps

Guide the user to the next PDCA phase:

  • Recommend /pdca design {feature} to proceed to Design phase.
  • Summarize key decisions made during planning.
  • List any deferred items (Nice-to-have / YAGNI) for future reference.

Arguments

ArgumentDescriptionExample
[feature]Feature name to plan/plan-plus user-auth

References

  • ${extensionPath}/templates/plan.template.md
  • ${extensionPath}/skills/pdca/SKILL.md

Frequently asked questions

What does the Plan Plus AI skill do?

Plan Plus — Brainstorming-Enhanced PDCA Planning. Combines intent discovery from brainstorming methodology with PDCA's structured planning. Produces higher-quality Plan documents by exploring user intent, comparing alternatives, and validating incrementally. Triggers: plan-plus, brainstorm plan, enhanced plan, deep plan, 플랜플러스, 브레인스토밍, 심층 기획, プランプラス, ブレインストーミング, 深度计划, 头脑风暴, plan plus, planificación avanzada, plan plus, planification avancée, Plan Plus, erweiterte Planung, plan plus, pianificazione avanzata

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-gemini/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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