A skill your agent uses when asked to structure a landing page, design page layout for conversion, or plan landing page information architecture.

MITAuto-check: notesFrontend & Design

Install Draft Landing

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

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace draft-landing --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-landing .claude/skills/draft-landing && 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-landing
GitHub stars
2.8k
Token cost
~621 tokens
SKILL.md length
180 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 structure a landing page, design page layout for conversion, or plan landing page information architecture.

  • Works in 5 steps: Identify product type from user request… → Search landing page patterns → Search product reasoning for audience +… → …
  • Asked to structure a landing page
  • SKILL.md covers When to use, Workflow, Output format and Anti-patterns, plus 1 more section
  • Calls python3

What it does

Draft Landing is an agent skill from jeremylongshore/tons-of-skills-marketplace. Use when asked to structure a landing page, design page layout for conversion, or plan landing page information architecture. Examples: "landing page structure for SaaS", "conversion-optimized layout"

Its SKILL.md is about 620 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 Landing pages and UX 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 structure a landing page
  • Design page layout for conversion
  • Plan landing page information architecture

Example prompts

  • “landing page structure for SaaS”
  • “conversion-optimized layout”
  • “/draft-landing”

Requirements

  • Python 3
  • Pre-approved tools (allowed-tools): Read, Bash, Glob, Grep

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Identify product type from user request or project context
  2. Search landing page patterns
  3. Search product reasoning for audience + conversion context
  4. Validate each section against the "so what?" test — every section must earn its place
  5. Output section order with CTA placement markers

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

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • python3

    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 Landing loads about 621 tokens when it runs. Until then it costs about 54 tokens; SKILL.md has 180 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~54
When it runs · the whole SKILL.md, loaded when a task matches
~621

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

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). 180 words, ~621 tokens.

Download SKILL.mdSave it as .claude/skills/draft-landing/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
draft-landing
description
Use when asked to structure a landing page, design page layout for conversion, or plan landing page information architecture. Examples: "landing page structure for SaaS", "conversion-optimized layout"
allowed-tools
Read, Bash, Glob, Grep
version
0.6.6
author
tonone-ai <hello@tonone.ai>
license
MIT

draft-landing — Landing Page Information Architecture

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

When to use

User needs a landing page structure, section order, or conversion-optimized layout. Product type is known or discoverable.

Workflow

  1. Identify product type from user request or project context
  2. Search landing page patterns:
    bash
    python3 -m draft_agent.uiux search --domain landing --query "{product_type}" --limit 3
  3. Search product reasoning for audience + conversion context:
    bash
    python3 -m draft_agent.uiux search --domain product --query "{product_type}" --limit 3
  4. Validate each section against the "so what?" test — every section must earn its place
  5. Output section order with CTA placement markers

Output format

┌─ Landing Page IA — {product_type} ──────────────────────────────────┐
│ #  │ Section            │ Purpose                    │ CTA?          │
├────┼────────────────────┼────────────────────────────┼───────────────┤
│  1 │ {section_name}     │ {purpose}                  │ Primary CTA   │
│  2 │ {section_name}     │ {purpose}                  │ —             │
│  3 │ {section_name}     │ {purpose}                  │ Secondary CTA │
│  … │ …                  │ …                          │ …             │
└────┴────────────────────┴────────────────────────────┴───────────────┘

Conversion strategy: {strategy}
CTA copy guidance:   {cta_guidance}

Anti-patterns

  • Never skip the "so what?" test per section — if a section can't answer it, cut it
  • Never add sections without a clear conversion purpose
  • Never place the primary CTA below the fold on the first screen
  • Never structure the page without knowing the primary audience and their job-to-be-done

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

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

Open the folder on GitHubat commit cfae287

Compare with similar skills

Draft Landing 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 Landing compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Draft Landing this skilljeremylongshore/tons-of-skills-marketplace2.8k—~621Automated safety check: NotesMIT
Impeccablebestofjs/bestofjs3.1k26 repos~2.6kAutomated safety check: PassMIT
Super UI UX Designsyahiidkamil/Software-Engineer-AI-Agent-Atlas401—~9kAutomated safety check: PassNone
Penpot Uiux Designgithub/awesome-copilot40k1 repos~3kAutomated safety check: PassMIT
Product Skillsalirezarezvani/claude-skills28k—~2.6kAutomated safety check: PassMIT
Improve Websitewondelai/skills2.4k—~5.1kAutomated safety check: PassMIT

Similar skills

  • Impeccable

    bestofjs/bestofjs

    A skill your agent uses when the user wants to design, redesign, shape, critique, audit, polish, clarify, distill, harden, optimize, adapt, animate, colorize, extract, or otherwise improve a…

    3.1k GitHub starsUsed in 26 repos~2.6k tokens
    Frontend & DesignAuto-check passed
  • Super UI UX Design

    syahiidkamil/Software-Engineer-AI-Agent-Atlas

    Complete UI/UX design capability — a wiki-style knowledge map of design theory (UX laws, Nielsen heuristics, usability, visual hierarchy, typography, contrast/WCAG, design systems…

    401 GitHub stars~9k tokensUpdated 3 mo ago
    Frontend & DesignAuto-check passed
  • Penpot Uiux Design

    github/awesome-copilot

    Official

    Comprehensive guide for creating professional UI/UX designs in Penpot using MCP tools.

    40k GitHub starsUsed in 1 repo~3k tokens
    Frontend & DesignAuto-check passed
  • Product Skills

    alirezarezvani/claude-skills

    A skill your agent uses when coordinating product work across the 12 bundled product sub-skills (RICE, OKRs, UX research, design tokens, competitive teardown, analytics, experiments, discovery…

    28k GitHub stars~2.6k tokensUpdated 1 mo ago
    Frontend & DesignAuto-check passed
  • Improve Website

    wondelai/skills

    Guided journey from a live website that underperforms to a prioritized, evidence-backed backlog of conversion, usability, message, and speed fixes - each shipped as a testable experiment.

    2.4k GitHub stars~5.1k tokensUpdated 1 mo ago
    Frontend & DesignAuto-check passed
  • Aesthetic Usability Effect

    hashgraph-online/awesome-codex-plugins

    A skill your agent uses when the design's perceived quality affects whether users will tolerate friction, give the product a chance, or judge it as well-made — which is most consumer-facing…

    1.3k GitHub stars~3.9k tokensUpdated yesterday
    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 Landing

What does Draft Landing do?

A skill your agent uses when asked to structure a landing page, design page layout for conversion, or plan landing page information architecture. Draft Landing is an agent skill from jeremylongshore/tons-of-skills-marketplace. Use when asked to structure a landing page, design page layout for conversion, or plan landing page information architecture.

When should I use Draft Landing?

Draft Landing fits situations like: asked to structure a landing page; design page layout for conversion; plan landing page information architecture.

How do I install Draft Landing in Claude Code?

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

How do I install Draft Landing in Codex?

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

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

What does Draft Landing need to run?

Going by SKILL.md and its folder, Draft Landing needs the command-line tools its instructions call (python3). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Bash, Glob, Grep.

Does Draft Landing 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 Landing 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 Landing use?

Draft Landing 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 Landing use?

About 621 tokens (SKILL.md is roughly 2.5k 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 Landing?

Skills that share tags, products or a category with Draft Landing: Impeccable (bestofjs/bestofjs, 3.1k stars), Super UI UX Design (syahiidkamil/Software-Engineer-AI-Agent-Atlas, 401 stars), Penpot Uiux Design (github/awesome-copilot, 40k stars) and Product Skills (alirezarezvani/claude-skills, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Draft Landing?

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.