Best Practices for Context Packs

Create and Organize Context Packs for Specific Use Cases

Packs should be isolated individual use cases and have tools, resources, or prompts that are related only to that specific task. Keeping context packs small and focused gives the AI clearer instructions on what tools are available and makes it easier for the LLM to reason which tool to use to accomplish the wanted task. It is useful to have sufficient description and structures around individual tools to give more context to the LLM or AI Agent.

Categorize Packs for Better Organization Across Teams

Ctxpack.com supports categorizing packs into different groups. This is useful for sharing purposes and onboarding newer users to the system. It allows them to more easily find the work function or job-to-be-done and the packs related to that.

Share Best Practices and Knowledge Efficiently Across Your Organization

Packs don't necessarily have to be revolving around tools. Organization best practices can be shared among users as resources or prompts. If your company has decided to invest on AI assisted coding tools for example, it is useful to share the base instructions to the assistant (whether it is Junie, Claude Code, Roo, Kiro, Cursor or Copilot) via a resource file so guidelines and conventions follow the assistant across tools and repositories.