WAVE: Skill for Claude Code

.agents/skills/demo-prep/SKILL.md

demo-prep is a skill for Claude Code, Codex from emilyLi2020/WAVE. It costs 45 tokens per session (531 once invoked), scanned A, original, Apache-2.0.

A guide for writing a timed live presentation of a software project at a hackathon or demo day. It covers the problem, product walkthrough, result, and a fallback if the live demo fails.

In plain words
What is it for?
Creating a short demo script, planning what to show, and preparing recordings or screenshots as backup.
Why use it?
It turns an unfinished presentation into a clear sequence and prepares for technical problems during the demo.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is emilyLi2020/WAVE's own configuration. It tells Claude Code and Codex how to work on WAVE 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 WAVE configures →

Reuse

Borrowing it

Nothing to install: this file belongs to emilyLi2020/WAVE. 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/emilyLi2020/WAVE/main/.agents/skills/demo-prep/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/emilyLi2020/WAVE

Made for: Claude Code, Codex.

Wrote this? Show the measurements

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agentmods badge for demo-prep

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agentmods 80×15 button for demo-prep

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Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 531 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 $0.00045 $0.00531
Opus 5.5 $0.00018 $0.00212
Sonnet 5.5 $0.00009 $0.00106
Haiku 4.5 $0.00005 $0.00053

Measured 1mo ago against content hash 9aa4c220902e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

demo-prep 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 1mo 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.

.agents/skills/demo-prep/SKILL.md · 62 lines

What it actually says

Demo Prep

The user is about to present their project at a hackathon or demo day. Help them create a polished, timed demo script that tells a compelling story.

Step 1: Gather Context

Ask the user:

  • What does your app do? (one sentence)
  • Who is it for?
  • What is the single most impressive thing it does?
  • How long is your presentation slot? (default: 3 minutes)
  • Will you do a live demo, recorded video, or slides?

Step 2: Write the Demo Script

Structure the script in three acts:

Act 1: The Problem (30 seconds)

  • One sentence describing the pain point
  • One concrete example or statistic that makes it real
  • "What if there was a better way?"

Act 2: The Solution (90 seconds)

  • Show the app running (live or recorded)
  • Walk through the core user flow step by step
  • Highlight the "wow moment" (the single most impressive feature)
  • Keep clicks to a minimum; narrate what is happening

Act 3: The Impact (30 seconds)

  • What changes because this exists?
  • One metric, testimonial, or future vision
  • Clear closing statement

Step 3: Prepare the Backup Plan

  • Record a screen capture of the full demo flow (in case live demo fails)
  • Prepare 2-3 screenshots of key screens as fallback slides
  • Test the app on the presentation machine/network before going on stage
  • Have the live URL ready as a backup to localhost

Step 4: Rehearse Checklist

  • Timed the full presentation (fits within the slot)
  • Practiced at least 3 times out loud
  • Tested the app on the demo machine
  • Backup video/screenshots are ready
  • Opening line is memorized (no fumbling the start)
  • Closing line is memorized (end strong)

Output

Return:

  1. Script: The full narrated demo script with timestamps
  2. Click Path: Exact sequence of actions to perform during the demo
  3. Backup Plan: What to do if the live demo breaks
  4. Q&A Prep: 3-5 likely questions judges will ask, with suggested answers
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. 1mo ago First seen · 62 lines · 45 tokens per session scan A 9aa4c220902e

Subscribe to this mod's changes

demo-prep is a skill published in the GitHub repository emilyLi2020/WAVE (2 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 45 tokens to every session and 531 once invoked, about $0.0002 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 2026-08-31.

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