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Notes on AI know-how that works in every tool.

Guides on skills, personas and prompts, on bringing your standards into Claude, ChatGPT and your coding agents, and on keeping it all under control.

Skills

What are AI skills, and why teams need more than prompts

A prompt tells an AI what to do. A skill tells it what to know. Why the knowledge part decides whether AI answers sound like your company. sqeme · · 3 min read Engineering

How to give Claude Code, Cursor and Codex your team's coding standards

Copying conventions into every repository does not scale. How to keep your standards in one place and let coding agents load them over MCP. sqeme · · 2 min read Marketing

How to keep every AI answer on brand in ChatGPT, Claude and Gemini

Brand guidelines in a PDF do not reach the chat window. How a brand voice skill keeps posts, newsletters and replies consistent, whichever AI tool someone uses. sqeme · · 2 min read Personas

AI personas: roles that load the right knowledge at the right moment

A persona is a working role with a condition for each playbook. How personas let AI tools pick the right skill or prompt without anybody choosing it. sqeme · · 2 min read Governance

Rolling out AI know-how in a company of 250 people

A practical plan for bringing order to how a mid-sized company uses AI: who owns the knowledge, who may see and edit it, and how to keep it current. sqeme · · 3 min read AI costs

Bring your own key: what BYOK means for AI costs and data control

With your own AI provider key, usage runs on your contract with the provider. What that changes for costs, model choice and control. sqeme · · 2 min read

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