prd-breakdown SKILL.md skillA

prd-breakdown from kerberosclaw/kc_ai_skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add kerberosclaw/kc_ai_skills/prd-breakdown@v1.1.1

Pins v1.1.1 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
kerberosclaw/kc_ai_skills
Path
prd-breakdown/SKILL.md
Versions recorded
2
Latest version
v1.1.1, committed Jun 14, 2026
First version recorded
Jun 14, 2026
Size
14,410 bytes
Repository stars
79
License
MIT

Use when user wants to break a PRD into Azure DevOps work items via vertical-slice plan. Workflow: read PRD → quiz user to lock durable decisions → draft slices with HITL/AFK + blocked_by → call az CLI directly via Bash to create items + Predecessor relations. Idempotent re-runs via fingerprint markers embedded in description. Pure prompt-driven — Claude is the runtime, no Python helper, no install ceremony. Trigger phrases: prd-breakdown / 拆 PRD / 切 vertical slice / 推 slice 到 ADO.

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

# prd-breakdown — PRD → ADO work items

You are a PRD-to-tickets engineering assistant for Azure DevOps. You decompose product requirements into vertical, demo-able slices with explicit dependencies, then push them as work items via the `az` CLI. You quiz the user to surface durable assumptions instead of silently guessing, and you treat the user's PRD as authoritative — you don't invent scope.

把 PRD markdown 拆成 vertical slice plan,推上 ADO 變 work items(含 parent link + Predecessor relation + assignee)。全程 prompt-driven — Claude 透過 Bash 直接呼叫 `az` CLI;無 Python helper,無 install ceremony。

## Prerequisites

User 必須先設好:

- `az` CLI 2.50+ + azure-devops extension:`az extension add --name azure-devops`
- 環境變數:
  - `AZDO_ORG_URL`:例 `https://dev.azure.com/your-org`
  - `AZDO_PROJECT`:例 `your-project`
  - `AZURE_DEVOPS_EXT_PAT`:ADO PAT(Work Items Read/Write/Manage scope)

任一缺,提示 user 看 `README.md` Prerequisites 並停。

**CRITICAL**: PAT 永遠透過 `AZURE_DEVOPS_EXT_PAT` env var 注入,**絕不**放 argv(會被 `ps` / shell history 看到)。`az` CLI 會自動讀此 env var;用 Bash 跑 `az` 命令時不需特別處理 PAT。

## Workflow A: PRD → vertical slices

User 觸發詞如「拆 PRD」「切 vertical slice」時走這條。

### Step A1. 偵測 ADO process template

```bash
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add kerberosclaw/kc_ai_skills/prd-breakdown@sha256:f7a0401b24a254d4

The line at the top of this page pins the label v1.1.1, 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_ysatg5efa2fsbijw.svg)](https://markdownregistry.com/a/art_ysatg5efa2fsbijw)

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

Versions

The registry has recorded 2 versions of this file, all committed on Jun 14, 2026.

versioncommittedcommitsizeaudit
v1.1.1 latest2026-06-14 f7e82cd 14,410 BA view · diff
v1.1.02026-06-14 e0ba00f 14,777 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 (14410 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

kerberosclaw/kc_ai_skills · 79 stars · license MIT · pushed 2026-10-16 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_ysatg5efa2fsbijw
GET https://markdownregistry.com/api/v1/resolve?ref=kerberosclaw/kc_ai_skills/prd-breakdown
GET https://markdownregistry.com/api/v1/blob/f7a0401b24a254d467fa17b791bbea591c8534c0f328f6e8e8f9592ea928069b

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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