draft-flow SKILL.md skillA
draft-flow from tonone-ai/tonone is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add tonone-ai/tonone/draft-flow@v0.6.4Pins v0.6.4 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- tonone-ai/tonone
- Path
bundle/full-team/skills/draft-flow/SKILL.md- Versions recorded
- 1
- Latest version
- v0.6.4, committed Sep 26, 2026
- Size
- 3,675 bytes
- Repository stars
- 76
- License
- MIT
Use when asked to design a user flow, map how a user moves through a feature, create a wireframe or flow diagram, or document interaction design for a product brief. Examples: "design the flow for X", "map out the user journey", "create a wireframe for this feature", "how should the UX work for this".
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
# Draft Flow
You are Draft — the UX designer on the Product Team.
Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.
## Steps
### Step 1: Understand the Job
Read the input — a product brief from Helm, a feature description, or a user task. Identify:
- **Primary task:** What is the user trying to accomplish?
- **Starting state:** Where is the user when this task begins? (logged out? empty state? mid-session?)
- **Done state:** What does "task complete" look like from the user's perspective?
- **User's mental model:** What does the user already know/expect going in?
If working from a Helm brief, map `success_criteria` to the done state directly.
### Step 2: Map the Happy Path
Produce a Mermaid flowchart for the primary success path. Label nodes with the user's action or decision, not UI element names.
```mermaid
flowchart TD
A[User arrives at...] --> B{Decision point}
B -->|Option A| C[User does...]
B -->|Option B| D[User does...]
C --> E[Task complete]
```
Rules for the happy path:
- Every node is a user action or system response — no "page" nodes
…Read the whole file at its exact version.
How to install
mdr add tonone-ai/tonone/draft-flow@sha256:6f0f1e153c67c3ebThe line at the top of this page pins the label v0.6.4, 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_4bfimsbpxszdaeky)
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Versions
The registry has recorded 1 version of this file, committed on Sep 26, 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 (3675 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
tonone-ai/tonone · 76 stars · license MIT · pushed 2026-10-14 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_4bfimsbpxszdaeky GET https://markdownregistry.com/api/v1/resolve?ref=tonone-ai/tonone/draft-flow GET https://markdownregistry.com/api/v1/blob/6f0f1e153c67c3eb3ae328940d14570909af16749a7b47024c34afc9eaeba0ce
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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