design-product

design-product is a skill for Claude Code, Codex from etr/groundwork. It costs 23 tokens per session (3,915 once invoked), scanned A, original, MIT.

An interactive workflow for writing a product requirements document, or PRD: a written description of what a feature must do.

In plain words
What is it for?
It helps clarify the request, draft requirements in EARS format, get approval, and save the approved PRD changes.
Why use it?
It helps turn an unclear feature request into agreed, testable requirements and catch contradictions before development.

Skill for Claude CodeCodex

Part of the groundwork plugin — 41 skills, 4 hooks shipped together

Install

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.

agentmods
npx agentmods add skills/etr/groundwork/design-product
Any agent
npx skills add etr/groundwork --skill design-product
Clone the repo
git clone --depth 1 https://github.com/etr/groundwork

Made for: Claude Code, Codex.

Or install groundwork, the plugin that ships this one along with the rest of its 41 skills, 4 hooks.

Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,915 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00023 $0.03915
Opus 5 $0.00012 $0.01958
Sonnet 5 $0.00005 $0.00783
Haiku 4.5 $0.00002 $0.00392

Measured 3d ago against content hash 6ae74617a680, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

design-product 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.

skills/design-product/SKILL.md · 387 lines

How it starts

The opening of the file, as written. The whole thing — 387 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Product Design Skill

Interactive workflow for iteratively designing and documenting product requirements in EARS format.

Workflow Overview

  1. Understand - Clarify the feature/change request through targeted questions
  2. Design - Draft EARS requirements and check for contradictions
  3. Approve - Present draft for user approval
  4. Commit - Edit the PRD document when requirements are approved
  5. Next Step - Ask user what to do next (architecture, UX, or another feature)

If you are in plan mode, you MUST still complete the full workflow (Steps 0–4). Your plan output MUST describe ONLY the PRD file edits from Step 4.

  • Which file to create or edit
  • Where to insert the new feature block
  • The EARS requirements content

Pre-flight: Model Recommendation

Your current effort level is {{effort_level}}.

Skip this step silently if effort is high, xhigh, or max (the scale is low < medium < high < xhigh < max, so xhigh and max are already above high) AND you are Opus (1M context). If effort is low or medium (i.e. below high), you MUST show the recommendation prompt — regardless of model. If you are not Opus (1M context), you MUST show the recommendation prompt - regardless of model.

Otherwise → use AskUserQuestion:

{
  "questions": [{
    "question": "Do you want to switch? Cross-spec contradiction detection across PRD, architecture, and design system benefits from deeper reasoning.\n\nTo switch: cancel, run `/model opus[1m]` and `/effort high`, then re-invoke this skill.",
    "header": "Recommended: Opus (1M context) at high effort",
    "options": [
      { "label": "Continue" },
      { "label": "Cancel — I'll switch first" }
    ],
    "multiSelect": false
  }]
}

If the user selects "Cancel — I'll switch first": output the switching commands above and stop. Do not proceed with the skill.

Step 0: Resolve Project Context

Before anything else, resolve the project context:

  1. Monorepo check: Does .groundwork.yml exist at the repo root?
    • If yes → Is {{project_name}} non-empty?
      • If empty → Invoke Skill(skill="groundwork:select-project") to select a project, then restart this skill.
      • If set → Project is {{project_name}}, specs at {{specs_dir}}/.
    • If no → Continue to item 3.
  2. CWD mismatch check (monorepo only):
    • Skip if not in monorepo mode or if the project was just selected in item 1 above.
    • If CWD is the repo root → fine, proceed.
    • Check which project's path CWD falls inside (compare against all projects in .groundwork.yml).
    • If CWD is inside the selected project's path → fine, proceed.
    • If CWD is inside a different project's path → warn via AskUserQuestion:

      "You're working from <cwd> (inside [cwd-project]), but the selected Groundwork project is [selected-project] ([selected-project-path]/). What would you like to do?"

      • "Switch to [cwd-project]"
      • "Stay with [selected-project]" If the user switches, invoke Skill(skill="groundwork:select-project").
    • If CWD doesn't match any project → proceed without warning (shared directory).
  3. Check {{specs_dir}}/: Does a specs directory exist?
    • If yes → Single-project repo, proceed normally.
    • If no → Ask the user: "Is this a single-project repo or a monorepo with multiple projects?"
      • Single project → Proceed normally (specs will be created at {{specs_dir}}/)
      • Monorepo → Invoke Skill(skill="groundwork:setup-repo") to create .groundwork.yml, then continue.

Read the full file on GitHub · 387 lines

Changes

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.

  1. 3d ago First seen · 387 lines · 23 tokens per session scan A 6ae74617a680

Subscribe to this mod's changes

design-product is a skill published in the GitHub repository etr/groundwork (42 stars, last pushed 22d ago), licensed MIT. It adds 23 tokens to every session and 3,915 once invoked, about $0.0001 per session on Opus 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 2026-08-30.

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