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mundane-demos

Demo strategy that leads with mundane real-life utility instead of benchmarks. Use when presenting an AI agent or product to non-technical audiences. Covers picking tasks the viewer did this morning, showing end-to-end completion, and letting speed be the wow factor.

Qu'est-ce que mundane-demos ?

mundane-demos is a Claude Code agent skill that demo strategy that leads with mundane real-life utility instead of benchmarks. Use when presenting an AI agent or product to non-technical audiences. Covers picking tasks the viewer did this morning, showing end-to-end completion, and letting speed be the wow factor.

Compatible avec~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/unisone/openclaw-skill-suite/tree/main/skills/mundane-demos

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Documentation

Que fait mundane-demos ?

The Muse launch never led with benchmark scores. It led with negotiating a bill, selling a car, booking a trip, auditing subscriptions — jobs the viewer did last week. Mundane utility converts; benchmarks impress people who were already convinced.

Pick the right task

  • The viewer did it this morning. Email triage, calendar Tetris, expense reports, subscription audits. Recognition creates desire: "I hate doing that" becomes "I want that."
  • One job, end to end. Not a feature tour. The bill is negotiated, the flight is booked, the car is listed. Show the confirmation, not the chat transcript.
  • Boring is the point. If the task looks impressive, viewers credit the demo. If the task looks boring and the agent still nails it, viewers credit the product.

Structure the demo

  1. State the job in one sentence ("Cancel my three unused subscriptions").
  2. Show it happening, sped up if needed, but real.
  3. End on the proof: the confirmation email, the refund receipt, the booked itinerary. The artifact is the argument.

Keep it under two minutes. Cut everything that isn't the job or the proof.

Speed is the wow factor

"Wicked fast" and "always-on" were the launch headlines for a reason. When the capability is table stakes, latency is the differentiator. Demo on the fastest path, show the timer if you have one, and never apologize for a loading spinner — remove it instead.

What not to demo

  • Abstract reasoning puzzles. Nobody wakes up needing those solved.
  • Multi-step setups. If the demo needs ten minutes of config, the product isn't ready to demo.
  • Anything you can't show failing gracefully. Live demos break; have the recovery be part of the story, not the end of it.

Individual skills in this repo

This repo contains 10 individual skills — each has its own dedicated page.

astra-operator

Delegate computer-use and browser tasks to OpenAI

design-inspo

Find design inspiration from curated gallery sites. Use when a user needs UI/UX references, design examples, or inspiration for specific components (navbars, CTAs, hero sections, landing pages, etc.), full websites, SaaS products, mobile apps, animations, icons, branding, or design systems. Helps select the right inspiration source and browse examples.

graphrag

Build a GraphRAG pipeline over documents. Use when plain vector search returns chunks without connections, when questions need multi-hop reasoning (

money-challenge

Design a public economic-outcome challenge for an AI product launch. Use when you want measurable proof that your agent creates or saves money. Covers the #musemoneychallenge mechanic: time-boxed, hashtag-tracked, user-submitted dollar outcomes with verification discipline.

release-notes

Generate polished release notes from git history. Use when cutting a release, before publishing a GitHub release, or when you need a changelog from commits between two tags. Groups changes by type, surfaces breaking changes, and drafts highlights.

remotion-product-demos

Create Apple-keynote-quality product demo videos with Remotion. Covers glass phone mockups, floating 3D spheres, typing animations, card UIs, ripple effects, and smooth scene transitions. Use when asked to create product demos, app showcase videos, UI walkthrough animations, or

repo-security-scan

Scan a repository for high-signal security issues and produce a report. Use when auditing a codebase for leaked secrets or vulnerable dependencies, before a release, or when onboarding an unfamiliar repo. Runs gitleaks secret scanning and osv-scanner dependency checks.

secure-agent-design

Security architecture patterns for personal AI agents that touch real accounts. Use when designing an agent with access to inbox, calendar, finances, or shopping. Covers per-user isolated VMs, pre-action sentinel checks, least-privilege connectors, human approval gates, and single-use payment credentials.

testimonial-launch

Turn user testimonials into launch distribution. Use when launching a product or feature and you want real user proof to carry the announcement instead of marketing copy. Covers soliciting specific testimonials, curating them, and amplifying via quote-posts.

validator-quotes

Earn and deploy third-party validator quotes for a launch. Use when you need credibility beyond your own claims. Covers who to approach, how to get honest reactions, and how to amplify them via quote-posts, based on the founder/CEO validators behind the Muse launch.

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