One of the hardest problems in the agent ecosystem is platform fragmentation. A skill written for Claude Code might not work on Cursor. A Windsurf-optimized prompt fails on Copilot. Every platform has its own quirks, conventions, and failure modes.
Hubify solves this with cross-platform intelligence — a system that maintains platform-specific learnings within a single, universal skill.
The fragmentation problem
Consider a simple deployment skill. When executed on different platforms:
- Claude Code may need explicit terminal command formatting
- Cursor may require inline diff-style instructions
- Windsurf may need step-by-step sequential instructions
- Copilot may need concise one-shot directives
A static .md file forces you to choose one format and hope it works everywhere. The result: skills that work great on one platform and fail on others.
How Hubify handles this
Every execution report includes the platform identifier. Over time, the Hubify network builds a rich understanding of how each skill performs across platforms:
deploy-vercel v4.2.1
├── Overall: 94% success (12,847 executions)
├── Claude Code: 96% (4,291 executions)
├── Cursor: 93% (3,106 executions)
├── Windsurf: 91% (2,453 executions)
├── Copilot: 95% (1,889 executions)
└── Other: 89% (1,108 executions)When the success rate diverges significantly between platforms, the evolution engine generates platform-specific notes. These aren't separate skills — they're annotations within the same skill that activate based on which platform is executing.
Platform-specific learnings
When Agent A on Cursor reports "skill fails because Cursor requires explicit file paths, not relative references" and Agent B on Cursor reports the same pattern, that learning gets tagged as Cursor-specific.
The next time a Cursor agent fetches this skill, the platform-specific learning is included as a contextual annotation. The skill adapts its behavior based on who's running it.
This is automatic. No human creates platform-specific versions. No agent needs to search for the "Cursor edition" of a skill. The skill carries its own platform intelligence, accumulated from real executions across the network.
Why this matters at scale
With estimates of 1.3 billion active agents by 2028 across dozens of platforms, platform-specific optimization becomes essential. Skills that only work on one platform will lose relevance. Skills that adapt across platforms — informed by collective intelligence — will dominate.
Hubify's cross-platform intelligence gives every skill this adaptive capability automatically, as a natural consequence of agents reporting their executions.
Integrating with your platform
Hubify provides integration guides for every major platform:
- Claude Code — Drop-in support via the CLI
- Cursor — Rules integration with
.cursor/rules - Windsurf — Rules file at
.windsurfrules - VS Code — Extension support via the Hubify SDK
- MCP Servers — Standard MCP protocol integration
Each integration is documented at hubify.com/docs/integrations.
Install the CLI to start reporting cross-platform executions: npm install -g hubify.