lms-front: Skill for Claude Code

.claude/skills/ai-landing-builder/SKILL.md

ai-landing-builder is a skill for Claude Code from guillermoscript/lms-front. It costs 184 tokens per session (3,020 once invoked), scanned A, original, MIT.

A guided AI landing-page builder for an online learning system. It turns a creator’s sentence into a draft page, then opens it in an editor where the creator can adjust the blocks by hand.

In plain words
What is it for?
Use it to generate landing-page drafts from short descriptions and refine them in the Puck drag-and-drop editor.
Why use it?
It removes the blank-page problem when creating a landing page while keeping human control over the final layout and content.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is guillermoscript/lms-front's own configuration. It tells Claude Code how to work on lms-front itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything lms-front configures →

Reuse

Borrowing it

Nothing to install: this file belongs to guillermoscript/lms-front. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/guillermoscript/lms-front/master/.claude/skills/ai-landing-builder/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/guillermoscript/lms-front

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for ai-landing-builder

README.md
[![agentmods](https://agentmods.dev/badge/skills/guillermoscript/lms-front/ai-landing-builder.svg)](https://agentmods.dev/skills/guillermoscript/lms-front/ai-landing-builder)
Your own site
<a href="https://agentmods.dev/skills/guillermoscript/lms-front/ai-landing-builder"><img src="https://agentmods.dev/badge/skills/guillermoscript/lms-front/ai-landing-builder.svg" alt="Measured on agentmods" height="20"></a>
Per session 184 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,020 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00184 $0.03020
Opus 5 $0.00092 $0.01510
Sonnet 5 $0.00037 $0.00604
Haiku 4.5 $0.00018 $0.00302

Measured 6d ago against content hash 230a5d189f1c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

ai-landing-builder scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/ai-landing-builder/SKILL.md · 176 lines

How it starts

The opening of the file, as written. The whole thing — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI Landing-Page Builder (json-render → Puck)

The one idea

A creator types a sentence → an LLM generates a json-render spec constrained to our block vocabulary → we validate it → bridge it to Puck Data → it opens in the existing Puck editor for human drag-and-drop refinement → saved to landing_pages.puck_data.

One vocabulary, two flows. The blocks the AI can emit are the same blocks a human edits in Puck. That's the whole point: AI solves the blank-page problem, Puck handles "let me just tweak this one thing." Every block you wrap for Puck automatically becomes generatable by the AI, and vice-versa. Decision recorded in docs/adr/0001-json-render-puck-landing-builder.md.

creator sentence
   │  POST /api/landing/generate
   ▼  landingCatalog.prompt() + LANDING_AUTHORING_GUIDE  ── constrains the LLM to our blocks
LLM → array spec  { root, elements:[{id,type,propsJson,children}] }
   │  arraySpecToSpec() → normalizeSpec()                ── fold to map, fill required fields
   │  landingCatalog.validate()                          ── REJECT unknown components/props
   ▼  specToPuckData(spec, DEFAULT_PROPS_BY_TYPE)        ── the bridge (backfills defaults)
Puck Data  ──▶  dispatch({type:'setData'})  ──▶  opens live in the Puck editor
   ▼  saved to landing_pages.puck_data

A third flow (July 2026): MCP tools. The MCP server exposes the same pipeline to external AI agents via 8 admin-only tools (lms_get_landing_blocks, lms_list/get/create/update_landing_page, lms_publish/unpublish/delete_landing_page in mcp-server/src/tools/landing-pages.ts). Because mcp-server is built/deployed standalone (Docker context = ./mcp-server), it cannot import lib/json-render/*; instead npm run gen:puck-fields ALSO emits generated mirrors into mcp-server/src/landing/ (puck-fields.generated.ts + catalog-meta.generated.ts from catalog-meta.ts/LANDING_PAGE_CRAFT_GUIDE), and mcp-server/src/landing/{from-puck-fields,to-puck}.ts are kept-in-sync copies of the same-named lib files. After changing any Puck block or the descriptions, re-run npm run gen:puck-fields — it updates both surfaces. If you edit lib/json-render/from-puck-fields.ts or to-puck.ts, apply the same change to the mcp-server copy.

Read the full file on GitHub · 176 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago First seen · 176 lines · 184 tokens per session scan A 230a5d189f1c

Subscribe to this mod's changes

ai-landing-builder is a skill published in the GitHub repository guillermoscript/lms-front (25 stars, last pushed 2d ago), licensed MIT. It adds 184 tokens to every session and 3,020 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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