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Product spec

Skill T4LEL/Claude-Arsenal/skills/product-spec

25 Claude Code subagents + 14 lifecycle skills + CLAUDE.md templates - build, ship, and monetize products with AI. Clone, run sync, done.

Install
npx -y skills add T4LEL/Claude-Arsenal --skill product-spec

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Use when a feature or product needs a spec before building - or when the user says PRD, spec this out, requirements, user stories, what should v1 include.

SKILL.md

2.7 KB, as published. Nobody here has run it

Product Spec

Turn an idea into a build-ready spec. Decisions get made on paper, not discovered mid-implementation.

Copy this checklist and check off items as you complete them:

Product-Spec Progress:
- [ ] Step 1: PRD — problem, user stories, out-of-scope, riskiest assumption
- [ ] Step 2: Flows — user flows, screens, edge states
- [ ] Step 3: Feasibility gate (skip for trivial features)
- [ ] Step 4: Save spec + hand off

Step 1 — PRD

Delegate to the product-manager agent with the idea and target user: problem statement, user stories with verifiable acceptance criteria (not "user can log in" but "user can log in with email+password and sees an error on wrong credentials"), an explicit out-of-scope list, and the single riskiest assumption the whole idea rests on.

Step 2 — Flows

Delegate to the ux-designer agent with the PRD: user flows for each user story, a screen inventory, and empty/loading/error states for every screen. A screen with no error state isn't designed yet.

Step 3 — Feasibility gate (skip for trivial features)

Delegate to the architect agent with the PRD and flows: data model implications (new tables, migrations against the existing Supabase schema), integration points (Stripe, third-party APIs, FastAPI services), and anything that forces the spec to change. Fetch current docs via the context7 MCP tools before ruling an integration in or out — don't reason about API limits from memory. Loop material conflicts back to product-manager/ux-designer once; don't iterate past that without the user's input.

Trivial feature (a single new field, a copy change, a UI-only tweak) — skip this step and say so in the report.

Step 4 — Save + hand off

Write the spec into the project at docs/specs/<date>-<name>.md, merging the PRD, flows, and feasibility findings into one document. Writing the file is not committing it — never commit, push, or deploy without the user's explicit ask.

Hand off to superpowers:writing-plans for implementation planning. This skill ends at "what to build and why," not "how to build it."

Report

  • Spec: path to the saved file + a 3-line summary.
  • V1 scope: the user stories that ship in v1.
  • Deferred: everything explicitly out-of-scope, and why.
  • Assumptions to validate: the riskiest assumption plus any figure pulled from memory (market size, competitor pricing, API limits) — label these unverified until checked against real numbers or stop and flag them before the user commits engineering time.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.