governance
SKILL.md, the King of Shadow AI
Why Agent Skills, as currently architected, are becoming the single biggest accelerator of Shadow AI in the enterprise. And what to do about it.
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skilder blog
Notes, field reports and analysis on enterprise AI.
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Skilder awarded a CHF 20,000 Digital Grant by the FIT
Skilder has been awarded a CHF 20,000 Digital Grant by the Foundation for Innovation and Technology (FIT), the Vaud-based foundation that supports early-stage innovative companies in the canton.
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What is shadow AI?
Shadow AI is the unmanaged use of generative AI tools by employees. Definition, real-world risks, and how to respond without killing productivity.
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Knowledge vs. Know-How: The Distinction Quietly Killing Your AI Agents
95% of enterprise AI pilots fail not because models are weak, but because they're loaded with knowledge and asked to deliver know-how. Why these are different categories.
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From Context Bloat to Context Load
Why enterprise AI gets heavier as it gets more capable, and how a capability graph lets you assemble context as a runtime payload instead of a static config file.
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The Context Lake: Why Your Data Lake Isn't Enough for AI Agents
A new layer is taking shape in the agentic enterprise stack: the context lake. Business context, tool permissions, and governance need their own home.
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Beyond "MCP vs Skills": Composing for Scalable Agent Architecture
MCP solves the N×M connectivity problem. Skills solve context saturation. The real opportunity isn't picking one. It's composing skills over MCP, organized by business context.
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Beyond Single .md Files: How Skill Graphs Scale AI Context
Single skill files hit a complexity ceiling fast. Skill graphs turn domain expertise into a navigable network so agents can traverse business logic instead of guessing.
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Agent Skills vs. Workflow Platforms: Which One Should You Actually Use?
Workflow platforms vs. AI agent: it depends on how messy your reality is. A framework for choosing between deterministic workflows and adaptive agent skills, plus the hybrid that wins.
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RAG vs Agent Skills: The Key Difference Everyone Should Know
RAG retrieves content. Skills package competencies. Why conflating them limits how companies think about AI agents, and a framework for choosing between them.
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Retrieval Is the New Intelligence
As agents gain access to more tools, the bottleneck shifts from reasoning to retrieval. Why picking the right tool is the next frontier in AI agent design.
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Skills: The Secret Weapon for Smarter AI Agents
Agent Skills are modular instruction sets that extend AI capabilities for specific tasks. Anatomy of a SKILL.md, activation flow, and how to build your first one.
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