Plan the MVP build from a PRD and an MVP concept, as a full development plan or an ultra-lean build spec, with the AI Product Development Toolkit's planning prompts.

MITAuto-check passedProduct & Project Management

Install Mvp Plan

skills CLI
$ npx skills add TechNomadCode/AI-Product-Development-Toolkit --skill mvp-plan -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install TechNomadCode/AI-Product-Development-Toolkit mvp-plan --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/TechNomadCode/AI-Product-Development-Toolkit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/agent-skills/mvp-plan .claude/skills/mvp-plan && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
mvp-plan
GitHub stars
1k
Token cost
~276 tokens
SKILL.md length
121 words
Files
2
Skills in repo
8
Repo updated
First seen
Licence
MIT

At a glance

Plan the MVP build from a PRD and an MVP concept, as a full development plan or an ultra-lean build spec, with the AI Product Development Toolkit's planning prompts.

  • Tasks that involve PRD writing
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Mvp Plan is an agent skill from TechNomadCode/AI-Product-Development-Toolkit. Plan the MVP build from a PRD and an MVP concept, as a full development plan or an ultra-lean build spec, with the AI Product Development Toolkit's planning prompts.

Its SKILL.md is about 280 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

It sits in Product & Project Management, covering PRD writing. The repository describes itself as: Plan, build and launch products with AI: guided planning prompts, an AI App Starter for Next.js, Supabase and Vercel, and agent configurations. The licence is MIT.

When your agent uses it

  • Tasks that involve PRD writing

Example prompts

  • “/mvp-plan”

What it can do on your machine

Read from SKILL.md and the folder at commit 1d3e2ca. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Mvp Plan loads about 276 tokens when it runs. Until then it costs about 44 tokens; SKILL.md has 121 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~44
When it runs · the whole SKILL.md, loaded when a task matches
~276

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from TechNomadCode/AI-Product-Development-Toolkit at commit 1d3e2ca, republished under its MIT licence (© TechNomadCode). 121 words, ~276 tokens.

Download SKILL.mdSave it as .claude/skills/mvp-plan/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
mvp-plan
description
Plan the MVP build from a PRD and an MVP concept, as a full development plan or an ultra-lean build spec, with the AI Product Development Toolkit's planning prompts.
disable-model-invocation
true
<!-- From the AI Product Development Toolkit (https://github.com/TechNomadCode/AI-Product-Development-Toolkit). Paste its skills install line again to update. -->

This skill has two prompts in its folder. Unless the owner's message makes it clear, ask which one they need:

  • Guided-MVP.md: a full development plan, with scope, tech stack, phases, testing and success metrics.
  • Guided-Ultra-Lean-MVP.md: a short build spec for a fast first version, with purpose, user, features and tech choices.

If a file is missing, tell the owner to install the skills again. Then run the prompt:

  • Read it in full and follow it exactly, as if the owner had pasted it.
  • Fill its placeholders from the owner: use what's in their message or the files they point to, and ask for the rest. Don't guess.
  • When the owner approves the draft, offer to save it as a Markdown file.

© TechNomadCode, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in agent-skills/mvp-plan of TechNomadCode/AI-Product-Development-Toolkit.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit 1d3e2ca

Compare with similar skills

Mvp Plan next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Mvp Plan compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Mvp Plan this skillTechNomadCode/AI-Product-Development-Toolkit1k—~276Automated safety check: PassMIT
CCPM Project Managementautomazeio/ccpm8.4k—~1.1kAutomated safety check: PassMIT
Ralph Tui Create Beadssubsy/ralph-tui2.5k1 repos~2.6kAutomated safety check: PassMIT
Trellis Brainstormanjiemo/SunnyBeach1787 repos~4kAutomated safety check: PassApache-2.0
Adversarial Speczscole/adversarial-spec5561 repos~8.3kAutomated safety check: NotesMIT
Ralph Tui Create Beads Rustsubsy/ralph-tui2.5k1 repos~2.8kAutomated safety check: PassMIT

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  • To Issues

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  • User Research

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  • Mvp

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    Define the smallest first version worth building (the MVP concept) from a PRD through a guided interview, with the AI Product Development Toolkit's MVP concept prompt.

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  • Prd

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    Interview the owner about a product idea, then draft a Product Requirements Document (PRD) with the AI Product Development Toolkit's PRD prompt.

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  • Test Plan

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    Draft a test plan outline (scope, test types, environments and acceptance criteria) through a guided interview, with the AI Product Development Toolkit's test plan prompt.

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Questions about Mvp Plan

What does Mvp Plan do?

Plan the MVP build from a PRD and an MVP concept, as a full development plan or an ultra-lean build spec, with the AI Product Development Toolkit's planning prompts. Mvp Plan is an agent skill from TechNomadCode/AI-Product-Development-Toolkit. Plan the MVP build from a PRD and an MVP concept, as a full development plan or an ultra-lean build spec, with the AI Product Development Toolkit's planning prompts.

When should I use Mvp Plan?

Mvp Plan fits situations like: tasks that involve PRD writing.

How do I install Mvp Plan in Claude Code?

Run `npx skills add TechNomadCode/AI-Product-Development-Toolkit --skill mvp-plan -a claude-code`. Or copy the skill folder (agent-skills/mvp-plan in TechNomadCode/AI-Product-Development-Toolkit) into .claude/skills/mvp-plan in your project. Claude Code loads it when a task matches its description.

How do I install Mvp Plan in Codex?

Run `npx skills add TechNomadCode/AI-Product-Development-Toolkit --skill mvp-plan -a codex`. Or copy the skill folder (agent-skills/mvp-plan in TechNomadCode/AI-Product-Development-Toolkit) into .agents/skills/mvp-plan in your project. Codex loads it when a task matches its description.

Can I use Mvp Plan in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add TechNomadCode/AI-Product-Development-Toolkit --skill mvp-plan -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mvp-plan, .gemini/skills/mvp-plan, .github/skills/mvp-plan and .opencode/skills/mvp-plan in your project.

What does Mvp Plan need to run?

SKILL.md names no scripts, command-line tools or credentials: Mvp Plan is instructions for the agent only.

Does Mvp Plan access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Mvp Plan safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Mvp Plan use?

Mvp Plan is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Mvp Plan use?

About 276 tokens (SKILL.md is roughly 1.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Mvp Plan?

Skills that share tags, products or a category with Mvp Plan: CCPM Project Management (automazeio/ccpm, 8.4k stars), Ralph Tui Create Beads (subsy/ralph-tui, 2.5k stars), Trellis Brainstorm (anjiemo/SunnyBeach, 178 stars) and Adversarial Spec (zscole/adversarial-spec, 556 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Mvp Plan?

TechNomadCode (a GitHub user) maintains it in TechNomadCode/AI-Product-Development-Toolkit, which has 1,006 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on October 5, 2026.

Source: TechNomadCode/AI-Product-Development-Toolkit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.