AI Product Development Toolkit is a collection of guided prompts, an AI-built starter for Next.js, Supabase, and Vercel applications, and agent instructions for planning and launching products. It helps people turn an idea into user research, product requirements, user flows, and a web app through an interview-led process. The catalogue entries are its planning and development skills and its Claude Code agent configuration.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add TechNomadCode/AI-Product-Development-Toolkit --skill mvp-plangit clone --depth 1 https://github.com/TechNomadCode/AI-Product-Development-ToolkitWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/technomadcode/ai-product-development-toolkit/mvp-plan)<a href="https://agentmods.dev/skills/technomadcode/ai-product-development-toolkit/mvp-plan"><img src="https://agentmods.dev/badge/skills/technomadcode/ai-product-development-toolkit/mvp-plan/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/technomadcode/ai-product-development-toolkit/mvp-plan"><img src="https://agentmods.dev/badge/skills/technomadcode/ai-product-development-toolkit/mvp-plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00040 | $0.00251 |
| Opus 5.5 | $0.00016 | $0.00100 |
| Sonnet 5.5 | $0.00008 | $0.00050 |
| Haiku 4.5 | $0.00004 | $0.00025 |
Grade A, and why
mvp-plan scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
This skill has two prompts in its folder. Unless the owner's message makes it clear, ask which one they need:
mvp-plan.md: a full development plan, with scope, tech stack, phases, testing and success metrics.mvp-plan-lean.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.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 3d ago Changed 51813e1fcb8d
- 21d ago First seen · 19 lines · 40 tokens per session scan A 3bcf8ffbb0fb
mvp-plan is a skill published in the GitHub repository TechNomadCode/AI-Product-Development-Toolkit (1,023 stars, last pushed 2d ago), licensed MIT. It adds 40 tokens to every session and 251 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-25.
Other skills, from other repositories
handoff
Hand work to another tool, account or machine and pick it up there, in two words. Use when the user says "hand off", "hand off all", "out of tokens", "switching accounts", "pick up" or "continue".
loop-orchestrator
Operate a fleet of durable agent loops under .loop/ — schedule which loop runs next, assign agents to roles (maker vs checker), enforce promotion gates from propose-only to write access, allocate budgets, detect stalled or dead loops, and roll up fleet status into one report. Use when asked to "run the loops"…
github-project-management
GitHub project management with issue tracking, project-board automation, and sprint planning. Use when triaging or organizing issues, automating a project board, planning a sprint, or running release/roadmap coordination on GitHub.
creator-productivity
Task management and workspace memory for creative work sessions. Manages a TASKS.md file for project tracking, a two-tier memory system (CREATOR.md + creator-memory/), and a daily sprint structure. Use when organizing creative projects, tracking content tasks, or starting a focused work session.
product-management-expert
Product management expertise for strategy, discovery, prioritization, roadmaps, PRDs, metrics, and stakeholder communication. Use when defining what to build, why, and how to measure success.
todo-discipline
Use when starting any complex task (3+ steps) or before declaring work complete. Enforces todo/task state to match reality — merge updates + read verification. Prevents false completion.