UI and UX reconnaissance — scan existing frontend routes, components, navigation, and flows to understand the current UX state before designing.

MITAuto-check: notesFrontend & Design

Install Draft Recon

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

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace draft-recon --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-recon .claude/skills/draft-recon && 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-recon
GitHub stars
2.8k
Token cost
~912 tokens
SKILL.md length
242 words
Files
2
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

UI and UX reconnaissance — scan existing frontend routes, components, navigation, and flows to understand the current UX state before designing.

  • Works in 6 steps: Detect Environment → Map Routes and Pages → Map Navigation Structure → …
  • Asked to understand the current UI
  • SKILL.md covers Steps and Delivery
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Draft Recon is an agent skill from jeremylongshore/tons-of-skills-marketplace. UI and UX reconnaissance — scan existing frontend routes, components, navigation, and flows to understand the current UX state before designing. Use when asked to "understand the current UI", "what UX patterns exist", "map the navigation", "what screens exist", or before starting any flow or wireframe work.

Its SKILL.md is about 910 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. 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 understand the current UI
  • What UX patterns exist
  • Map the navigation
  • What screens exist

Example prompts

  • “understand the current UI”
  • “what UX patterns exist”
  • “map the navigation”
  • “/draft-recon”

Requirements

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

Workflow steps

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

  1. Detect Environment
  2. Map Routes and Pages
  3. Map Navigation Structure
  4. Inventory UX Artifacts
  5. Assess UX Quality
  6. Present Assessment

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. 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
    • Bash
    • Glob
    • Grep
    • WebFetch
    • WebSearch
    • AskUserQuestion

    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 bash).

    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 Recon loads about 912 tokens when it runs. Until then it costs about 80 tokens; SKILL.md has 242 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~80
When it runs · the whole SKILL.md, loaded when a task matches
~912

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, Bash, Glob, Grep, WebFetch, WebSearch, 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 cfae287, republished under its MIT licence (© jeremylongshore). 242 words, ~912 tokens.

Download SKILL.mdSave it as .claude/skills/draft-recon/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
draft-recon
description
UI and UX reconnaissance — scan existing frontend routes, components, navigation, and flows to understand the current UX state before designing. Use when asked to "understand the current UI", "what UX patterns exist", "map the navigation", "what screens exist", or before starting any flow or wireframe work.
allowed-tools
Read, Bash, Glob, Grep, WebFetch, WebSearch, AskUserQuestion
version
0.6.4
author
tonone-ai <hello@tonone.ai>
license
MIT

UX Reconnaissance

You are Draft — the UX designer on the Product Team. Map the current UX before you redesign anything.

Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.

Steps

Step 0: Detect Environment

Scan for frontend indicators:

bash
# Routes / pages
find . -name "*.tsx" -o -name "*.jsx" -o -name "*.vue" -o -name "*.svelte" 2>/dev/null | grep -i "page\|route\|screen\|view" | head -30
ls src/app src/pages src/routes src/screens 2>/dev/null

# Navigation
find . -name "*.tsx" -o -name "*.jsx" 2>/dev/null | xargs grep -l "nav\|router\|Link\|Route" 2>/dev/null | head -10

# Existing UX docs
find . -name "*.md" | xargs grep -l "flow\|wireframe\|user journey\|IA\|sitemap" 2>/dev/null | head -10
Step 1: Map Routes and Pages

List every distinct page/screen:

  • Route path — the URL pattern
  • Component name — the file rendering it
  • Purpose — what the user does here
  • Auth required — yes/no

Group by area (public, authenticated, admin, onboarding, etc.).

Step 2: Map Navigation Structure

Identify:

  • Primary navigation — top nav, sidebar, tab bar (what items, what order)
  • Secondary navigation — in-page tabs, section nav
  • Entry points — how new users first land, what the first authenticated screen is
  • Dead ends — screens with no clear next step
Step 3: Inventory UX Artifacts

Check for existing design work:

  • Flow diagrams — Mermaid, draw.io, or markdown flow docs
  • Wireframes — any lo-fi screen specs in docs/
  • IA documents — sitemap, content hierarchy, card sort results
  • Design files — Figma links in README or docs
Step 4: Assess UX Quality

Evaluate against heuristics at a glance:

HeuristicStatusNote
Consistent navigation[✓/✗/~]
Empty states handled[✓/✗/~]
Error states handled[✓/✗/~]
Onboarding flow exists[✓/✗/~]
Mobile-responsive[✓/✗/~]
Loading states present[✓/✗/~]
Step 5: Present Assessment
## UX Reconnaissance

**Framework:** [React/Vue/Svelte/etc.] | **Router:** [Next.js/React Router/etc.]
**Total screens:** [N] | **Auth-gated:** [N] | **Public:** [N]

### Navigation Structure
[primary nav items in order]
└── [sub-items if any]

### Screen Inventory
| Area        | Screens | Notes |
|-------------|---------|-------|
| Onboarding  | [N]     | [observation] |
| Core app    | [N]     | [observation] |
| Settings    | [N]     | [observation] |
| Admin       | [N]     | [observation] |

### UX Gaps
- [RED] [critical UX gap — missing empty state, broken flow, etc.]
- [YELLOW] [notable gap — inconsistent pattern, missing error state]

### Recommended Starting Point
[Which flow or screen to tackle first]

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-recon of jeremylongshore/tons-of-skills-marketplace.

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

Open the folder on GitHubat commit cfae287

Compare with similar skills

Draft Recon 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 Recon compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Draft Recon this skilljeremylongshore/tons-of-skills-marketplace2.8k—~912Automated safety check: NotesMIT
UI StylingOhh-889/skyroc79513 repos~2.5kAutomated safety check: PassMIT
LobeHub Interactive Prototypelobehub/lobehub83k—~1.6kAutomated safety check: PassCustom licence
Make Interfaces Feel Bettersamuelclay/NewsBlur7.6k10 repos~1.5kAutomated safety check: PassMIT
UI UX Pro MaxZxBing0066/pixel-converter18113 repos~2.6kAutomated safety check: NotesBSD-2-Clause
Design Dnazanwei/design-dna1.9k1 repos~2.1kAutomated safety check: PassMIT

Similar skills

  • UI Styling

    Ohh-889/skyroc

    Create beautiful, accessible user interfaces with shadcn/ui components (built on Radix UI + Tailwind), Tailwind CSS utility-first styling, and canvas-based visual designs.

    795 GitHub starsUsed in 13 repos~2.5k tokens
    Frontend & DesignAuto-check passed
  • Builds single-file interactive HTML prototypes rendered with the real LobeHub UI components and written as production-style React, so they can later be split into files.

    83k GitHub stars~1.6k tokensUpdated today
    Frontend & DesignAuto-check passed
  • Make Interfaces Feel Better

    samuelclay/NewsBlur

    Design engineering principles for making interfaces feel polished.

    7.6k GitHub starsUsed in 10 repos~1.5k tokens
    Frontend & DesignAuto-check passed
  • UI UX Pro Max

    ZxBing0066/pixel-converter

    UI/UX design intelligence with searchable database. An agent skill from ZxBing0066/pixel-converter.

    181 GitHub starsUsed in 13 repos~2.6k tokens
    Frontend & DesignAuto-check: notes
  • Design Dna

    zanwei/design-dna

    Extract, define, and apply design DNA across three dimensions: design system (tokens), design style (qualitative feel), and visual effects (Canvas, WebGL, 3D, particles, shaders, scroll effects…

    1.9k GitHub starsUsed in 1 repo~2.1k tokens
    Frontend & DesignAuto-check passed
  • Figma Design to Code

    warpdotdev/warp

    Turns a Figma frame or component into production code that matches the design, using the Figma MCP server and the project's own design system.

    65k GitHub starsUsed in 4 repos~2.9k tokens
    Frontend & DesignAuto-check passed

More from jeremylongshore/tons-of-skills-marketplace

All 3,342 skills in this repo
  • Performing Security Code Review

    jeremylongshore/tons-of-skills-marketplace

    Execute this skill enables AI assistant to conduct a security-focused code review using the security-agent plugin.

    2.8k GitHub starsUsed in 2 repos~1.3k tokens
    Auto-check: notes
  • Adapting Transfer Learning Models

    jeremylongshore/tons-of-skills-marketplace

    Build this skill automates the adaptation of pre-trained machine learning models using transfer learning techniques.

    2.8k GitHub stars~1.1k tokensUpdated today
    Auto-check passed
  • Agent Context Loader

    jeremylongshore/tons-of-skills-marketplace

    Execute proactive auto-loading: automatically detects and loads agents.md files.

    2.8k GitHub stars~1.1k tokensUpdated today
    Auto-check passed
  • Aggregating Performance Metrics

    jeremylongshore/tons-of-skills-marketplace

    Aggregate and centralize performance metrics from applications, systems, databases, caches, and services.

    2.8k GitHub stars~1.2k tokensUpdated today
    Auto-check passed
  • Analyzing Capacity Planning

    jeremylongshore/tons-of-skills-marketplace

    Execute this skill enables AI assistant to analyze capacity requirements and plan for future growth.

    2.8k GitHub stars~947 tokensUpdated today
    Auto-check passed
  • Analyzing Database Indexes

    jeremylongshore/tons-of-skills-marketplace

    Process use when you need to work with database indexing. An agent skill from jeremylongshore/tons-of-skills-marketplace.

    2.8k GitHub stars~2k tokensUpdated today
    Auto-check passed

Questions about Draft Recon

What does Draft Recon do?

UI and UX reconnaissance — scan existing frontend routes, components, navigation, and flows to understand the current UX state before designing. Draft Recon is an agent skill from jeremylongshore/tons-of-skills-marketplace. UI and UX reconnaissance — scan existing frontend routes, components, navigation, and flows to understand the current UX state before designing.

When should I use Draft Recon?

Draft Recon fits situations like: asked to understand the current UI; what UX patterns exist; map the navigation; what screens exist.

How do I install Draft Recon in Claude Code?

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

How do I install Draft Recon in Codex?

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

Can I use Draft Recon 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-recon -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-recon, .gemini/skills/draft-recon, .github/skills/draft-recon and .opencode/skills/draft-recon in your project.

What does Draft Recon need to run?

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

Does Draft Recon 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 Recon 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 Recon use?

Draft Recon 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 Recon use?

About 912 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 Recon?

Skills that share tags, products or a category with Draft Recon: UI Styling (Ohh-889/skyroc, 795 stars), LobeHub Interactive Prototype (lobehub/lobehub, 83k stars), Make Interfaces Feel Better (samuelclay/NewsBlur, 7.6k stars) and UI UX Pro Max (ZxBing0066/pixel-converter, 181 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Draft Recon?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 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.