The daily drop

One thing worth installing, every day

Every day we feature one skill or MCP and show what it actually does. This is the running list, so you can grab whichever one you saw and get back to work.

One email per skill, plain text, with the link. Unsubscribe any time.

What is a skill?

A folder of instructions you hand your AI. It teaches the model how to do one job properly, so you stop re-explaining it every single time.

What is an MCP?

A plug. It connects your AI to a real tool: your browser, your database, your design files. Now it can go do the thing instead of just describing it.

Short version: a skill teaches, an MCP connects. Most days we post one of each.

The list

Day 9Skill

Three.js Game Skills

by Majid Manzarpour

Gives Claude Code and Codex a coordinated team of skills for building playable, polished Three.js browser games with gameplay, graphics, UI, debugging, and release QA.

Flappy Bird was a tiny 2D game built by one developer, and at its peak Dong Nguyen told The Verge it was generating about $50,000 a day from ads. This pack gives one vibe coder a game director plus specialists for gameplay, AAA-style graphics, UI, debugging, browser testing, mobile checks, and optional 3D, image, and audio generation. The demos range from hover racing and championship snooker to starship combat. Better tools do not guarantee the next viral hit, but the cost of trying has collapsed. Newzoo estimated games generated $188.8 billion in consumer revenue in 2025, compared with roughly $33.5 billion at the global theatrical box office. The next breakout studio may begin with one obsessive builder, one strange idea, and Claude or Codex connected to this skill pack.

Paste this

npx skills add majidmanzarpour/threejs-game-skills --skill '*' -a claude-code -g -y
GitHub repo
Day 8MCP

BLS Labor MCP

by cyanheads

Lets an agent search and query Bureau of Labor Statistics data for prices, employment, wages, productivity, and labor markets.

BLS has unusually rich public data hidden behind cryptic series IDs. We used this MCP to combine grocery prices with earnings data and build The Minute Aisle, where every item is priced in minutes of work.

Paste this

claude mcp add bls-labor -- npx -y @cyanheads/bls-labor-mcp-server@latest
Open demo
Day 7MCP

Replicate

by Replicate

Lets your agent search, compare, and run image, video, audio, and other AI models through Replicate.

Instead of learning a separate interface for every model, your agent can discover and run them from the same chat workflow. One MCP connection exposes Replicate’s API while keeping model choice flexible.

Paste this

npx -y replicate-mcp
MCP docs
Day 6Skill

Loops + adversarial sub-agents

by AI Experts

Keeps a coding agent working through a backlog while a separate reviewer decides whether each issue is actually finished.

A builder should not grade its own homework. This pattern separates implementation from acceptance, makes the reviewer test the running product in a browser, and loops rejected work back with a concrete reason.

View prompt
Financial Datasets
Day 5MCP

Financial Datasets

by Financial Datasets

Connects AI agents to structured stock-market data, SEC filings, financial statements, prices, ownership, and earnings.

Finance agents are only as reliable as the numbers they can reach. Financial Datasets gives them a direct, structured data source instead of making them scrape websites or guess, with coverage across 27,000+ US tickers and more than 30 years of fundamentals.

Paste this

claude mcp add --transport http financial-datasets https://mcp.financialdatasets.ai/
MCP docs
Day 4MCP

Context7

by Upstash

Pulls current, version-correct docs for whatever library you are using straight into the model.

Models are confident about library APIs that changed six months ago. Context7 fetches the real docs for the version you actually have installed, so you stop debugging code written against a function that no longer exists.

Paste this

claude mcp add context7 -- npx -y @upstash/context7-mcp
GitHub repo
Eden
Day 3MCP

Eden

by Eden

Gives AI agents social research, creator analysis, private analytics, content scheduling, and publishing in one MCP connection.

Most content agents can write, but they cannot see what is actually working. Eden grounds them in real high-performing posts, creator baselines, your saved research, and your own analytics, then carries the same workflow through scheduling and publishing.

Paste this

claude mcp add --transport http eden https://mcp.eden.so/mcp
MCP guide
Day 2MCP

Blender MCP

by Siddharth Ahuja

Lets your AI agent create, modify, light, animate, and render editable 3D scenes directly inside Blender.

Image generators give you a finished picture. Blender MCP gives your agent control of the actual scene, including its objects, materials, lighting, camera, and geometry. The result is not just generated. It is a world you can keep editing.

Paste this

claude mcp add blender uvx blender-mcp
GitHub repo
Day 1MCP

Chrome DevTools MCP

by Chrome DevTools team

Lets your coding agent open Chrome, watch the console and network tab, and profile the page it just built.

Your agent writes a fix, then checks its own work in a live browser. It sees the actual console error, the actual slow request, the actual layout. We started the series here because it is the fastest jump from "the AI guessed" to "the AI checked."

Paste this

claude mcp add chrome-devtools -- npx -y chrome-devtools-mcp@latest
GitHub repo

Want your team using these properly?

Installing a skill takes a minute. Getting a whole team to actually work this way takes a bit more. That part is what we do.

Talk to us