product-design-spec SKILL.md skillA

product-design-spec from mgiovani/cc-arsenal is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add mgiovani/cc-arsenal/product-design-spec@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
mgiovani/cc-arsenal
Path
skills/product-design-spec/SKILL.md
Versions recorded
5
Latest version
v1.0.0, committed Oct 5, 2026
First version recorded
Jul 27, 2026
Size
10,590 bytes
Repository stars
8
License
MIT

Authors the design specification for an approved PRD (information architecture, user flows, a screen inventory, and per-screen state and interaction specs), reusing the project's existing component library first and tracing every screen back to a PRD requirement ID. Lean by default: one design-spec.md, full specs for only the 2-3 most critical screens, WCAG 2.2 AA delegated to review-design. Use for "write a design spec", "map the user flows", "screen inventory with states", or…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Product Design Spec

Turn an approved PRD into the design half of the spec (IA, flows, a screen inventory, and per-screen
state/interaction specs), spec'ing only as much as the work warrants. This skill writes no UI code; it
produces the design the build (`implement-feature`) then works from. Output lands under
`docs/specs/design/`. `<skill-dir>` below is this skill's directory.

## Input

$ARGUMENTS

Parse the source (first match wins), then read it:

| Pattern | Source | Read via |
|---|---|---|
| existing `docs/specs/prd/*.md` or any path | the approved PRD / a file | Read it (grab every `PRD-<CAT>-NNN` ID) |
| `PROJ-123` | Jira | `jira issue view PROJ-123` |
| `#42` / `owner/repo#42` | GitHub issue | `gh issue view 42 --json title,body,labels,comments` |
| `http(s)://` | URL | `WebFetch` |
| anything else | plain text | the idea itself |

A trailing `--tier small|medium|big` overrides the size assessment.

## Prerequisites & fallback

Component-library detection and flow research use the `Task` tool with `Explore`/haiku subagents. No `Task`
tool? Run every detection and research step inline, sequentially: the phase → gate → phase structure below
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add mgiovani/cc-arsenal/product-design-spec@sha256:a094e3fe484bc864

The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_gylmpyyvwjyp2jiq.svg)](https://markdownregistry.com/a/art_gylmpyyvwjyp2jiq)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between Jul 27, 2026 and Oct 5, 2026, about one every 18 days.

versioncommittedcommitsizeaudit
v1.0.0 latest2026-10-05 b620662 10,590 BA view · diff
v1.0.02026-09-25 ca015cc 10,717 BA view · diff
v1.0.02026-09-24 a80f9cd 10,745 BA view · diff
v1.0.02026-09-16 0d6e629 10,816 BA view · diff
v1.0.02026-07-27 fa2e9cf 10,706 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (10590 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

mgiovani/cc-arsenal · 8 stars · license MIT · pushed 2026-10-28 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_gylmpyyvwjyp2jiq
GET https://markdownregistry.com/api/v1/resolve?ref=mgiovani/cc-arsenal/product-design-spec
GET https://markdownregistry.com/api/v1/blob/a094e3fe484bc864942f46a3bbf563f53d47c5a474762d2e4f9dce9ccb74c041

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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