Download for MacApple silicon, macOS 14+
Skill

context-item-creation

@honeydew-ai Updated 2026-08-30

Guides you through creating context items — instructions, skills, knowledge pointers, and memory events — that give the AI analyst persistent knowledge about your organization. Covers when to create each type, naming conventions, folder organization, and the hard boundary between context (rules and procedures) and the semantic layer (logic and calculations).

analyticsclaude-codecodexcontext-layercursorhoneydewsemantic-layer

Install

With your agent

Install OMGSkills skill "honeydew-ai/honeydew-ai-coding-agents-plugins:skills/context-item-creation" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.

Manual command

git clone https://github.com/honeydew-ai/honeydew-ai-coding-agents-plugins /tmp/honeydew-ai-coding-agents-plugins && ln -s /tmp/honeydew-ai-coding-agents-plugins/skills/context-item-creation ~/.claude/skills/context-item-creation

From README

Prerequisites Before creating context items, ensure you are on the correct workspace and branch. Use getsessionworkspaceandbranch to check the current session context. For development work, create a branch with createworkspacebranch (the session switches automatically). See the workspace-branch skill for the full workspace/branch tool reference. --- Overview Context items are the mechanism for giving the AI analyst persistent, organizational knowledge: standing rules it must always follow, on-demand procedures it can retrieve, external references it can look up, and a historical record of notable events. Context items belong to the context layer — they are consumed by the Honeydew AI analyst at query time to shape its behavior. They are separate from the semantic layer (entities, metrics, attributes, relations, domains), which defines your data model and business logic such as metric calculations.