prepare-product-backlog-for-lia SKILL.md skillA
prepare-product-backlog-for-lia from nerds-odd-e/doughnut is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add nerds-odd-e/doughnut/prepare-product-backlog-for-lia@git:20260828.8bfd158Pins git:20260828.8bfd158 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- nerds-odd-e/doughnut
- Path
.agents/skills/prepare-product-backlog-for-lia/SKILL.md- Versions recorded
- 3
- Latest version
- git:20260828.8bfd158, committed Aug 28, 2026
- First version recorded
- Jul 26, 2026
- Size
- 13,616 bytes
- Repository stars
- 50
- License
- MIT
Prepare, refine, order, and assess a real-product backlog for an upcoming LeSS in Action (LIA) class. Use when selecting class-sized product features, investigating how much of an idea already exists, turning feature themes into vertical interdependent user stories, adding high-value items, or facilitating Product Backlog refinement for teams working on Donut or another production product.
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
# Prepare a Product Backlog for LeSS in Action <objective> Create a production-worthy, class-sized set of Product Backlog Items that lets participants learn general software engineering through real product development. Keep two outputs separate: 1. A facilitation analysis containing facts, criteria, trade-offs, ordering, dependencies, risks, and class sizing. 2. A clean Product Backlog artifact containing only user stories and their acceptance examples. Do not put selection criteria, training rationale, evaluation tables, team assignments, process notes, or research summaries in the Product Backlog artifact. </objective> <context> LeSS in Action is a five-day experiential developer training in which feature teams collaborate on one real product and run a real Sprint. Product work is the medium for learning; the product domain and implementation technology are not the learning objective. Participants should encounter requirements discovery, Specification by Example, ATDD, TDD, pairing, continuous integration, refactoring, emergent design, shared ownership, and cross-team coordination through the work itself. …
Read the whole file at its exact version.
How to install
mdr add nerds-odd-e/doughnut/prepare-product-backlog-for-lia@sha256:4c848f4ed6c0af31The line at the top of this page pins the label git:20260828.8bfd158, 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.
[](https://markdownregistry.com/a/art_zmzlwdux3t2w4jk2)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Jul 26, 2026 and Aug 28, 2026, about one every 17 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260828.8bfd158 latest | 2026-08-28 | 8bfd158 | 13,616 B | A | view · diff |
| git:20260807.358b0a4 | 2026-08-07 | 358b0a4 | 13,622 B | A | view · diff |
| git:20260726.72e37c1 | 2026-07-26 | 72e37c1 | 13,614 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (13616 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
nerds-odd-e/doughnut · 50 stars · license MIT · pushed 2026-11-05 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_zmzlwdux3t2w4jk2 GET https://markdownregistry.com/api/v1/resolve?ref=nerds-odd-e/doughnut/prepare-product-backlog-for-lia GET https://markdownregistry.com/api/v1/blob/4c848f4ed6c0af31743d5ff83080d4040bc2d5fb20cbc0bade6b5c62ca9f41da
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.