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Wwas

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phuryn
wwas

Create product backlog items in Why-What-Acceptance format — independent, valuable, testable items with strategic context. Use when writing structured backlog items, breaking features into work items, or using the WWA format.

Overview

Publisherphuryn
Repositorypm-skills
Skill namewwas
Stars
26.4K
Forks
2.8K
Bundled files
Instructions only
LicenseMIT
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 phuryn on GitHub. Read the source before you install it.

Installation

Install the Wwas 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/phuryn/pm-skills.git /tmp/pm-skills
mkdir -p .claude/skills
cp -r /tmp/pm-skills/pm-execution/skills/wwas .claude/skills/wwas
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Wwas 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 Wwas 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 Wwas 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.

Why-What-Acceptance (WWA)

Create product backlog items in Why-What-Acceptance format. Produces independent, valuable, testable items with strategic context.

Use when: Writing backlog items, creating product increments, breaking features into work items, or communicating strategic intent to teams.

Arguments:

  • $PRODUCT: The product or system name
  • $FEATURE: The new feature or capability
  • $DESIGN: Link to design files (Figma, Miro, etc.)
  • $ASSUMPTIONS: Key assumptions and strategic context

Step-by-Step Process

  1. Define the strategic Why - Connect work to business and team objectives
  2. Describe the What - Keep descriptions concise, reference designs
  3. Write Acceptance Criteria - High-level, not detailed specifications
  4. Ensure independence - Items can be developed in any order
  5. Keep items negotiable - Invite team conversation, not constraints
  6. Make items valuable - Each delivers measurable user or business value
  7. Ensure testability - Outcomes are observable and verifiable
  8. Size appropriately - Small enough for one sprint estimate

Item Template

Title: [What will be delivered]

Why: [1-2 sentences connecting to strategic context and team objectives]

What: [Short description and design link. 1-2 paragraphs maximum. A reminder of discussion, not detailed specification.]

Acceptance Criteria:

  • [Observable outcome 1]
  • [Observable outcome 2]
  • [Observable outcome 3]
  • [Observable outcome 4]

Example WWA Item

Title: Implement Real-Time Spending Tracker

Why: Users need immediate feedback on spending to make conscious budget decisions. This directly supports our goal to improve financial awareness and reduce overspending.

What: Add a real-time spending tracker that updates as users log expenses. The tracker displays their current week's spending against their set budget. Designs available in [Figma link]. This is a reminder of our discussions - detailed specifications will emerge during development conversations with the team.

Acceptance Criteria:

  • Spending totals update within 2 seconds of logging an expense
  • Budget progress is visually indicated with a progress bar
  • Users can see remaining budget amount at a glance
  • System handles multiple expense categories correctly

Output Deliverables

  • Complete set of backlog items for the feature
  • Each item includes Why, What, and Acceptance Criteria sections
  • Items are independent and deliverable in any order
  • Items are sized for estimation and completion in one sprint
  • Strategic context is clear for team decision-making
  • Design references are included for implementation guidance

Further Reading

Frequently asked questions

What does the Wwas AI skill do?

Create product backlog items in Why-What-Acceptance format — independent, valuable, testable items with strategic context. Use when writing structured backlog items, breaking features into work items, or using the WWA format.

Why use Wwas on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/phuryn/pm-skills/tree/main/pm-execution/skills/wwas. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Wwas?

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 Wwas?

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

Is the Wwas AI skill free?

Yes. It is published on GitHub by phuryn under the MIT 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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