Moscow

Community

neurofoo

moscow

MoSCoW prioritization categorizing items as Must have, Should have, Could have, or Won't have. Use for scope definition, feature prioritization, or when everything feels equally important.

Overview

Publisher	neurofoo
Repository	`agent-skills`
Skill name	`moscow`
Stars	123
Forks	19
Bundled files	2
License	MIT
Links	Skill source Repository

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.
2 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by neurofoo on GitHub. Read the source before you install it.

Installation

Install the Moscow 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.
https://github.com/neurofoo/agent-skills/tree/main/moscow
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/neurofoo/agent-skills.git /tmp/agent-skills
mkdir -p .claude/skills
cp -r /tmp/agent-skills/moscow .claude/skills/moscow

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

Use it in TypingMind

Enable Moscow 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 Moscow 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 Moscow 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.

MoSCoW Prioritization

Categorize items into Must have, Should have, Could have, and Won't have for clear scope and priorities.

Instructions

Take the list of items provided and sort them into MoSCoW categories. Be rigorous about what's truly a "Must"—if the project/goal can still succeed without it, it's not a Must.

Output Format

Context What are we prioritizing for? What are the constraints (time, budget, capacity)?

Prioritized List

Must Have (Critical)

Without these, the project fails or is pointless

[Item] — [Why it's a must]
[Item] — [Why it's a must]

Should Have (Important)

Significantly adds value; painful to omit but project survives

[Item] — [Value it adds]
[Item] — [Value it adds]

Could Have (Nice to Have)

Desirable if time permits; low impact if cut

[Item] — [Why it's optional]
[Item] — [Why it's optional]

Won't Have (Not This Time)

Explicitly out of scope; may revisit later

[Item] — [Why it's deferred]
[Item] — [Why it's deferred]

Effort Distribution

Category	Items	Est. Effort %
Must	X	≤60%
Should	X	~20%
Could	X	~10%
Won't	X	0% (deferred)

Red Flags

If Must > 60% of effort: scope may be too large
If no Won'ts: probably not being honest about constraints
If everything is Must: priorities haven't been set

Rationale Explain the key trade-offs made and the reasoning behind contentious categorizations.

Next Step What's the first Must item to tackle?

Guidelines

Ask "If we shipped without this, would we fail?" for each Must
Challenge "Musts" that are really "someone really wants this"
Make Won'ts explicit—avoids scope creep later
Consider dependencies (a Must might require a "hidden" Must)
Stakeholder alignment is essential—this isn't just your opinion

$ARGUMENTS

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

commands/moscow.md2 KB
references/examples.md6 KB

Frequently asked questions

What does the Moscow AI skill do?

MoSCoW prioritization categorizing items as Must have, Should have, Could have, or Won't have. Use for scope definition, feature prioritization, or when everything feels equally important.

Why use Moscow on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/neurofoo/agent-skills/tree/main/moscow. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Moscow?

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 Moscow?

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

Is the Moscow AI skill free?

Yes. It is published on GitHub by neurofoo 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

MoSCoW Prioritization

Instructions

Output Format

Must Have (Critical)

Should Have (Important)

Could Have (Nice to Have)

Won't Have (Not This Time)

Guidelines

Bundled files

Frequently asked questions

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