archflow-groom SKILL.md skillA
archflow-groom from azidan/archflow is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add azidan/archflow/archflow-groom@git:20260911.a26fb9fPins git:20260911.a26fb9f in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- azidan/archflow
- Path
adapters/copilot/.github/skills/archflow-groom/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260911.a26fb9f, committed Sep 11, 2026
- Size
- 9,333 bytes
- Repository stars
- 29
- License
- MIT
Use ONLY when the user asks for /archflow-groom or "archflow groom". Detail or refine a story: acceptance criteria, subtasks, gates. Works on a backlog stub or a story already in a release.
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
> Arguments are the text after the skill name. # /archflow-groom — Detail or refine a story Argument (`the text the user wrote after the skill name`): optional story id (e.g. `S2-11`). Empty → list stubs and ask which to groom. Grooming turns a bare stub (title + one line) into a `ready` story with acceptance criteria, subtasks, and gates, and **refines a story that is already in a release** when its scope turns out to be wrong. It is the canonical description of *how a story gets detailed* — `release.md` (feature-planner Mode B) and the phase-3 pull-forward both defer here rather than restating it. Grooming refines scope. It does NOT commit the story to a release or start a build — those stay separate on purpose, so a story can be made ready without anyone deciding when to ship it. ## Usage ``` /archflow-groom → list stubs in backlog.yaml, ask which to groom /archflow-groom S2-11 → groom that story, wherever it lives ``` **Two modes, chosen by where the story is, not by an argument.** A backlog story is groomed into `ready` (**backlog mode**). A story already in a release is refined in place with its gates …
Read the whole file at its exact version.
How to install
mdr add azidan/archflow/archflow-groom@sha256:dafc7c14ebc4d9e2The line at the top of this page pins the label git:20260911.a26fb9f, 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_lckt7ihiddnnsian)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Sep 11, 2026.
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 (9333 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
azidan/archflow · 29 stars · license MIT · pushed 2026-11-03 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_lckt7ihiddnnsian GET https://markdownregistry.com/api/v1/resolve?ref=azidan/archflow/archflow-groom GET https://markdownregistry.com/api/v1/blob/dafc7c14ebc4d9e2982c74372360f1aff64d2b4cedf98a4283486c6641f1115f
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.