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Agent skill

Draft Flow

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

A skill your agent uses 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.

MITAuto-check: notesFrontend & Design

Install Draft Flow

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill draft-flow -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace draft-flow --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/ai-agency/tonone/skills/draft-flow .claude/skills/draft-flow && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
draft-flow
GitHub stars
2.8k
Token cost
~898 tokens
SKILL.md length
409 words
Files
2
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses 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.

  • Works in 6 steps: Understand the Job → Map the Happy Path → Add Error and Empty States → …
  • Asked to design a user flow
  • SKILL.md covers Steps and Delivery
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Draft Flow is an agent skill from jeremylongshore/tons-of-skills-marketplace. 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".

Its SKILL.md is about 900 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `.claude-plugin/plugin.json`).

It sits in Frontend & Design, covering UI design, UX design and Customer journey mapping. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Asked to design a user flow
  • Map how a user moves through a feature
  • Create a wireframe
  • Document interaction design for a product brief

Example prompts

  • “design the flow for X”
  • “map out the user journey”
  • “create a wireframe for this feature”
  • “/draft-flow”

Requirements

  • Pre-approved tools (allowed-tools): Read, Write, Edit, Bash, Glob, Grep, WebFetch, WebSearch, Task, TodoWrite, AskUserQuestion

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Understand the Job
  2. Map the Happy Path
  3. Add Error and Empty States
  4. Annotate Decision Points
  5. Identify Friction Points
  6. Deliver

What it can do on your machine

Read from SKILL.md and the folder at commit 23ea8d4. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit
    • Bash
    • Glob
    • Grep
    • WebFetch
    • WebSearch
    • Task
    • TodoWrite

    …and 1 more on the same allowed-tools line.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are mermaid).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Draft Flow loads about 898 tokens when it runs. Until then it costs about 78 tokens; SKILL.md has 409 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~78
When it runs · the whole SKILL.md, loaded when a task matches
~898

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Write, Edit, Bash, Glob, Grep, WebFetch, WebSearch, Task, TodoWrite, AskUserQuestion

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit 23ea8d4, republished under its MIT licence (© jeremylongshore). 409 words, ~898 tokens.

Download SKILL.mdSave it as .claude/skills/draft-flow/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
draft-flow
description
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".
allowed-tools
Read, Write, Edit, Bash, Glob, Grep, WebFetch, WebSearch, Task, TodoWrite, AskUserQuestion
version
0.6.4
author
tonone-ai <hello@tonone.ai>
license
MIT

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
  • Every diamond is a decision the user must make — label both branches
  • The start node states where the user is and what triggered the task
  • The end node states what the user sees and knows at completion
Step 3: Add Error and Empty States

Extend the diagram with:

  • Validation errors — what happens when user input is wrong? Where do they land?
  • Empty states — what does the user see on first use, before they have data?
  • Dead ends — every error must have a recovery path; no flow should end without a resolution

Mark error/empty paths in the diagram with :::error or a note annotation.

Show full SKILL.md (151 more words)Show less
Step 4: Annotate Decision Points

For each diamond (decision fork) in the flow, add an annotation:

[Decision: "Do they have an account?"]
Context: User may arrive from a marketing link without a session.
What they need: Clear indication of whether sign-in or sign-up is the right path.
What we provide: [describe what the UI shows at this point]
Risk: [what goes wrong if we get this wrong]
Step 5: Identify Friction Points

Review the full flow. Flag any step where:

  • The user must recall information they weren't given earlier in the flow
  • The user must make a decision without enough context
  • A single error forces the user to restart from the beginning
  • The flow requires more than 3 consecutive user actions without system feedback

Mark these with ▲ FRICTION: annotations.

Step 6: Deliver

Present:

  1. The Mermaid flow diagram (full, renders cleanly)
  2. Annotated decision points
  3. Friction flags with recommended resolutions
  4. One-paragraph summary of the key UX decisions made and why

Delivery

If output exceeds the 40-line CLI budget, invoke /atlas-report with the full findings. The HTML report is the output. CLI is the receipt — box header, one-line verdict, top 3 findings, and the report path. Never dump analysis to CLI.

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in plugins/ai-agency/tonone/skills/draft-flow of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • .claude-plugin/plugin.json

Open the folder on GitHubat commit 23ea8d4

Compare with similar skills

Draft Flow next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Draft Flow compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Draft Flow this skilljeremylongshore/tons-of-skills-marketplace2.8k—~898Automated safety check: NotesMIT
Bmad UXaj-geddes/claude-code-bmad-skills487—~2kAutomated safety check: NotesCustom licence
Prototypeplugin87/ux-ui-agent-skills1.5k—~614Automated safety check: PassMIT
User Flow DiagramOwl-Listener/designer-skills2.9k1 repos~448Automated safety check: PassMIT
Product UX Expertmajiayu000/spellbook286—~3.1kAutomated safety check: PassMIT
Product Designerborghei/Claude-Skills881—~3.1kAutomated safety check: PassMIT

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Categories

Questions about Draft Flow

What does Draft Flow do?

A skill your agent uses 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. Draft Flow is an agent skill from jeremylongshore/tons-of-skills-marketplace. 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.

When should I use Draft Flow?

Draft Flow fits situations like: asked to design a user flow; map how a user moves through a feature; create a wireframe; document interaction design for a product brief.

How do I install Draft Flow in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill draft-flow -a claude-code`. Or copy the skill folder (plugins/ai-agency/tonone/skills/draft-flow in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/draft-flow in your project. Claude Code loads it when a task matches its description.

How do I install Draft Flow in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill draft-flow -a codex`. Or copy the skill folder (plugins/ai-agency/tonone/skills/draft-flow in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/draft-flow in your project. Codex loads it when a task matches its description.

Can I use Draft Flow in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill draft-flow -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/draft-flow, .gemini/skills/draft-flow, .github/skills/draft-flow and .opencode/skills/draft-flow in your project.

What does Draft Flow need to run?

SKILL.md names no scripts, command-line tools or credentials: Draft Flow is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash, Glob, Grep, WebFetch, WebSearch, Task, TodoWrite, AskUserQuestion.

Does Draft Flow access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Draft Flow safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Draft Flow use?

Draft Flow is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Draft Flow use?

About 898 tokens (SKILL.md is roughly 3.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Draft Flow?

Skills that share tags, products or a category with Draft Flow: Bmad UX (aj-geddes/claude-code-bmad-skills, 487 stars), Prototype (plugin87/ux-ui-agent-skills, 1.5k stars), User Flow Diagram (Owl-Listener/designer-skills, 2.9k stars) and Product UX Expert (majiayu000/spellbook, 286 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Draft Flow?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,821 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 8, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.