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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.

money-challenge란 무엇인가요?

money-challenge is a Claude Code agent skill that 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.

지원 대상~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/unisone/openclaw-skill-suite/tree/main/skills/money-challenge

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money-challenge은(는) 무엇을 하나요?

The strongest launch mechanic observed in the Muse rollout: a public challenge framed around a single measurable outcome — dollars made or saved (#musemoneychallenge). Concrete beats abstract; participants do your marketing; skeptics can't argue with receipts.

The mechanic

  1. One metric. Dollars. Not "productivity," not "delight." Money made or money saved, stated as a number.
  2. A time box. A week is the sweet spot: long enough for real outcomes, short enough to sustain attention.
  3. A hashtag. Gives participants a rally point and gives you a single surface to monitor, curate, and amplify.
  4. User-submitted proof. Screenshots of the outcome: the booked refund, the negotiated bill, the sold listing.

Why it works

  • Skin in the game. Participants stake their own reputation on the outcome, which makes their posts credible in a way brand content never is.
  • Concrete > abstract. "Saved $214 on my car insurance" ends debates that "10x your productivity" starts.
  • Compounding distribution. Every entry is a testimonial (see testimonial-launch); repost the best and the challenge markets itself.

Running one

  • Seed it. Line up 3-5 friendly users with real outcomes before announcing, so day one doesn't look empty.
  • Set the floor, not the ceiling. "Can an AI agent save your business $1,000 this week?" gives people a target without capping the upside.
  • Repost winners daily. The leaderboard energy is the point; make winning visible.
  • Define the rules plainly. What counts, what proof is required, when it ends. Ambiguity breeds disputes.

Verification discipline

  • Verify before amplifying. Ask for the receipt, the confirmation email, the before/after.
  • Disclose what's typical vs. exceptional. One $5,000 win next to fifty $20 wins is fine; presenting the outlier as the norm is not.
  • Never inflate or round up participant claims. The mechanic only works because the numbers are real.

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 (

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.

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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