Don't just use AI.
Equip it.
Access to a good model stopped being the hard part. Turning that access into something that reliably finishes a real job is where everyone is still stuck.
A model, on its own.
Then the same model, equipped.
Nothing here is new intelligence. It is the same model with the skills, tools, servers and context it was missing — wired together instead of scattered across nine tabs. Drag the core if you want to see what is holding it up.
Drag the core — or focus it and use the arrow keys
Ready for assembly
-
Skills
SKILL.md files, prompt libraries and task instructions that turn a general model into something that does your specific work properly, every time — not just the once.
-
Tools
Abilities a model does not have alone: reading a file, searching the web, running a command, sending a message. The difference between an AI that talks about the work and one that does it.
-
MCP servers
One standard, many devices. Your database, your calendar, your repo — reachable by the model instead of described to it.
-
Workflows
n8n and Make.com automations, importable. Several steps joined in a fixed order so the result comes out the same way every time.
-
Resources
Tutorials, walkthroughs, worked examples and documentation — the human half of the equipment, and the parts a config file cannot teach you.
Every one of these is in curation. Nothing is listed until it exists and somebody has run it on real work, which is why there is no count on this page.
You have the intelligence.
You don't have the equipment.
-
01
It lives everywhere but here.
Skills, MCP servers, workflows and guides are scattered across GitHub, Reddit, X, YouTube, docs sites and half-finished directories. Somebody already built the thing you need. Finding it is the job.
-
02
It's filed by what it is, not what it's for.
Every catalogue sorts by category — skills here, MCP servers there. None of them is organised around the thing you were actually trying to get done this morning.
-
03
It breaks quietly.
Tools change, models update, a config that worked in August fails in November. Nothing tells you. You find out when the job doesn't finish.
-
04
Assembly is left to you.
A marketplace hands you a list and stops. Working out which twelve things you needed, and how they fit together, is still entirely your problem.
A list can be scraped in an afternoon.
Knowing which combination actually survives contact with a real task cannot. That is the whole difference, and it only comes from one place.
-
You name the outcome
Not "find me a skill". What you are actually trying to get done.
-
We assemble the equipment
The skills, tools, MCP servers, workflows and resources that job needs.
-
You install it
In one go, rather than hunting down twelve things across nine sites.
-
You run it on real work
Not a demo. The actual job, with your actual files and constraints.
-
We learn what broke
This is the step nobody can copy, and the only reason any of this is worth doing.
-
It gets repaired
Versioned, dated, and better for the next person who needs the same job done.
Pick one job.
Equip it properly.
The vault is being built in the open, one outcome at a time. Nothing is listed until it exists and somebody has run it on real work.
No account, no pricing, nothing to sign up for yet.
The ones worth answering honestly.
Are you building an AI model?
No. Launch7 sits on top of the models rather than competing with them. Claude, ChatGPT and the rest supply the intelligence; we supply the equipment that turns intelligence into a finished job. If the model you use changes next year, the equipment should still work.
How is this different from a skills directory?
A directory sorts things by what they are and stops. We organise by what you are trying to get done, and we only list what has actually been used on real work. The difference shows up in step five above — a catalogue that has never been run tells you nothing about which combination survives.
What does it cost?
Nothing is priced yet, and we would rather say that than invent a number. There is no plan, no tier and no checkout on this site. When there is something worth charging for, it will say so plainly.
What's actually in the vault right now?
It is being filled in the open. The five categories above are what Launch7 supplies; the things inside them go up as they are found, checked and run. You will not find a count on this page, because a number that includes untested entries is worse than no number.
Who is this for?
People who already use AI and are actively trying to push it further — developers working with Claude Code, Cursor and MCP first of all, then anyone doing knowledge work a model could genuinely take on. If you have never opened an AI tool, this is not yet the right place to start.