The missing Skills infrastructure layer the AI ecosystem forgot to build.
Engineered to make your agents work like the top 1%.
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The only skill infrastructure that works across all LLMs
OpenAI
Anthropic
Gemini
Llama
DeepSeek
Mistral
Grok

Bluebag gives your agents Skills, inspired by the same architecture that powers Anthropic's Claude Skills.

If Claude can do it, now your agents can too.
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Your agent isn't the problem. Your Skills layer is missing.

Most agents are built on:
  • ❌Large dumps of prompts and tools
  • ❌zero modular Skills
  • ❌no deterministic scripts or validation
  • ❌no real routing or workflows
They work in demos.
They crack in production.
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Build Agents like the top 1%

BlueBag gives your AI agents a real Skills infrastructure — modular, reliable, and production-grade by design.
Plug it into your stack, keep your LLMs and tools, and finally ship agents that behave like the top 1%.
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A Real Skills Infrastructure, not another wrapper.

Dedicated VM access
Skills as first-class citizens run via dedicated VM access. Turn messy prompts into modular Skills, metadata, and clear contracts.
Versioned, testable, reusable across agents and projects.
Deterministic execution where it matters
Offload fragile tasks to scripts and workflows.
Validation, retries, error handling, and safety guardrails — baked in.
Plug into your existing stack
Keep your current LLMs, frameworks, and tools.
BlueBag slots in as the missing Skills layer underneath.

Everyone is shipping agents. Almost nobody is shipping world-class agents.

BlueBag is how you escape the “demo-grade agent” trap and move into top 1% territory — with an infrastructure layer designed for real products, real customers, and real scale.
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Give your agents the Skills layer they were supposed to have.

Install BlueBag in your existing stack and take your agents from “it works… sometimes” to “this feels like Claude's magic — every time.”
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