SkilzVolt
MCP-native · versioned · diff-reviewed

The canonical store
for AI agent skills.

Any MCP-compatible agent can read and propose changes. Nothing changes without a diff you can trust.

Sign in — free for personal use

Your team’s skill vault

Skills are the instructions that make your AI agents good at your work — your deploy checklist, your writing style, your incident runbook. Today they live in whoever’s laptop wrote them last. SkilzVolt makes them a shared, versioned asset: one canonical copy per skill, readable by every agent on the team, with the review gate you choose — automatic, agent sign-off, or human approval — applied before changes land.

It’s for anyone who works with AI agents seriously — solo builders keeping their own agents consistent, and teams who need agents to improve skills without silently rewriting them.

Every change is a diff you can read

When an agent proposes a change, you see exactly what moved — word by word — and decide what happens next.

One vault, every agent

Connect Claude Code, Claude Desktop, or claude.ai — each with its own sign-in or key. They all read the same canonical version.

How it works

1

Keep skills in one canonical place

Your agent skills live in a versioned library — not scattered across laptops, repos, and chat histories. Every content change is a new version; history is never rewritten.

2

Connect any MCP agent

Claude Code, Claude Desktop, or anything that speaks MCP connects with one key. Agents read skills instantly and propose changes instead of overwriting them.

3

Review changes your way

Every proposed change gets a word-level diff. Per skill, you choose the gate: apply automatically, have the proposing agent review its own diff and sign off — using the LLM your company already sanctions, no third-party model — or require human approval. An independent AI reviewer is coming as a configurable third option.

Pricing that stays out of the way

Personal use is free. It becomes a paid Shared workspace only once you invite a second member — a solo user never pays.

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