lpm: Skill for Claude Code

.claude/skills/short/SKILL.md

short is a skill for Claude Code from gug007/lpm. It costs 107 tokens per session (3,680 once invoked), scanned A, original, MIT.

A workflow for making a short vertical lesson video for TikTok, Reels and YouTube Shorts. It records the real desktop app and creates a phone-shaped MP4 with captions, step labels, a cover and a post caption.

In plain words
What is it for?
Use it to create a 9:16 tutorial with a quick opening, recorded app actions, burned-in captions and short-form pacing.
Why use it?
It turns a topic and notes into a format designed for viewers watching on a phone, including viewers whose sound is off. It also avoids treating a short video as merely a trimmed long lesson.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: positional $N argument; mentions Claude Code; mentions Codex.

This is gug007/lpm's own configuration. It tells Claude Code how to work on lpm 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 lpm configures →

Not installable: its command points at a path on the author’s own machine, so it runs nowhere else. The line is /Users/Shared/lpm-lessons.

Reuse

Borrowing it

Nothing to install: this file belongs to gug007/lpm. 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/gug007/lpm/main/.claude/skills/short/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/gug007/lpm

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 short

README.md
[![agentmods](https://agentmods.dev/badge/skills/gug007/lpm/short/github.svg)](https://agentmods.dev/skills/gug007/lpm/short)
Your own site
<a href="https://agentmods.dev/skills/gug007/lpm/short"><img src="https://agentmods.dev/badge/skills/gug007/lpm/short/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for short

Your own site · 80×15
<a href="https://agentmods.dev/skills/gug007/lpm/short"><img src="https://agentmods.dev/badge/skills/gug007/lpm/short.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 107 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,680 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00107 $0.03680
Opus 5.5 $0.00043 $0.01472
Sonnet 5.5 $0.00021 $0.00736
Haiku 4.5 $0.00011 $0.00368

Measured yesterday against content hash 3fe43c2fdb71, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

short 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 yesterday.

The scan reads SKILL.md. This mod also ships 12 executable files (scripts/camera.js, scripts/edit.js, scripts/kit.js, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/short/SKILL.md · 104 lines

How it starts

The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Make a vertical lesson video from a topic and optional notes. It is not a trimmed YouTube lesson: the script, the pacing and the picture are built for a phone held upright with the sound possibly off.

The recorder, the voice and the mix are the lesson skill's (../lesson/scripts). Everything that skill's SKILL.md says about driving the app still holds and is not repeated here: the pristine ~/.lpm-lessons data dir, /Users/Shared/lpm-lessons workspace, the lesson control socket, real pointer and keys (s.keys("return"), never cliclick kp:), agent trust, waitFor/click/type selectors, foreground takes, the OpenAI key in the Keychain, the preflight and lint that check the Mac and the script before every take, the take folders (_takes/), the guarded agent settings and the checks after the mux (qa/report.json; the screen is read on the take's clock). The beat API is in lesson/reference/beats-api.md.

What makes it TikTok-native

  • Vertical 1080x1920, 20–45 s. The app runs in a portrait window (820x1040 pt by default; "window" in lesson.json). The window floats on a dark canvas with cyan, pink and violet glows. A virtual camera cuts a 9:16 crop from it that eases between a wide shot (the whole window width) and push-ins that follow the action.
  • Payoff first, and held. The video opens cold on the finished result (a later moment of the take) under the hook line and a big headline sticker. The steps come after. Frame 0 is already the payoff with text on it, so it is also the cover. The opening lines' beats are never seen, so the last of them does the setup (pick the project, start an agent).
  • Don't cut away at 2 s. TikTok's retention graph for the best video so far (1.9K views) showed most viewers leaving at 0:02, the moment a one-line opening cut from the result to the app's setup. Its likes peaked at 0:01, on the result. Open on two lines over the payoff ("open": 2, about 4–5 s): the hook, then a line that gives a reason to keep watching.
  • Hook in under 2.5 s. One short sentence: a problem ("Stop guessing your Claude Code limits."), a surprising fact, or a result. Never "In this video", never "Here's how to set it up in lpm". The headline sticker says what the video delivers ("Claude Code limits, right under your prompt 👀").
  • Burned-in word-by-word captions. Most people watch muted. Pages of up to 3 words sit in the lower middle, heavy white with a black stroke, the spoken word in yellow, *word* in cyan. They are timed from the voice clip's own transcript.
  • Numbered step stickers. A line's "label" puts "① Open Settings" at the top of the frame until the next one.
  • No dead air. Lines follow each other with 140 ms gaps. Typing and agent thinking are jump-cut with s.skip(). The voice is quick and upbeat (DEFAULT_STYLE in scripts/make.js, sped up 1.08x with pitch kept; "tempo" in lesson.json).
  • Ends on the result. The last line plays over the payoff shot the video opened on (it loops cleanly), with an lpm.cx end sticker. No outro card, no "follow for part 2", no next-lesson teaser (user rule: every video stands alone).
  • Safe zones. Stickers, captions and push-in targets keep clear of TikTok's own UI: the top tabs, the right-hand button column, and the caption and sound area at the bottom. The review sheet draws those zones in.

Read the full file on GitHub · 104 lines

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. yesterday Changed 3fe43c2fdb71
  2. 4d ago Changed · +1 lines 4ca4e48627a2
  3. 13d ago Changed · +1 lines 7c11b89ce562
  4. 23d ago First seen · 102 lines · 107 tokens per session scan A 0a06b812557e

Subscribe to this mod's changes

short is a skill published in the GitHub repository gug007/lpm (145 stars, last pushed today), licensed MIT. It adds 107 tokens to every session and 3,680 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-10-01.

Related

Other skills, from other repositories

onboard

Explains this repository's shared Claude Code setup to a new teammate, covering what is committed and shared, what stays personal, and what the team-kit plugin adds. Use when someone asks how the team's Claude Code setup works or what they get by cloning the repository.

wesammustafa/Claude-Code-Everything-You-Need-to-Know · 56 tokens

moai-workflow-jit-docs

Enhanced Just-In-Time document loading system that discovers, loads, and caches relevant documentation based on user intent and project context. Use when users need specific documentation on demand.

modu-ai/moai-adk · 42 tokens

mulmoterminal-help

Help desk for questions about MulmoTerminal itself — what it can do, how a feature or a part of the screen works, how to set something up, what is new in this version or in the latest one. Answers from the shipped guide, changelog, source and the running server, never from memory, and names where each fact was…

receptron/mulmoterminal · 133 tokens

semantic-anchor-translator

Bi-directional translator between verbose descriptions and established terminology (semantic anchors). Use when (1) user describes a concept verbosely and you want to identify the precise term, or (2) user asks for methodology/approach and you want to suggest relevant anchors. Covers 200+ terms across testing…

LLM-Coding/Semantic-Anchors · 94 tokens

self-assessment

Interactive skill assessment with personalized learning path generation.

FlorianBruniaux/claude-code-ultimate-guide · 12 tokens

talk-stage5-script

Produces a complete 5-act pitch with speaker notes, a slide-by-slide specification, and a ready-to-paste Kimi prompt for AI slide generation. Requires validated angle and title from Stage 4. Use when you have a confirmed talk angle and need the full script, slide spec, and AI-generated presentation prompt.

FlorianBruniaux/claude-code-ultimate-guide · 69 tokens