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honeydew-ai
GitHub creator profile

honeydew-ai

Repository-level view of 13 collected skills across 1 GitHub repositories.

skills collected
13
repositories
1
updated
2026-07-14
repository map

Where the skills live

Top repositories by collected skill count, with their share of this creator catalog and occupation spread.

repository explorer

Repositories and representative skills

model-exploration
software-developers

Use when exploring Honeydew semantic layer, discovering entities/fields, setting up workspace and branch context, or running simple structured queries to inspect data. For analysis questions use the query skill. For creating metrics use metric-creation skill. For creating attributes use attribute-creation skill.

2026-07-14
query-debugging
software-developers

Use when the user wants to review or inspect past query executions in Honeydew — what ran, from which client (BI tools, SQL interface, MCP, deep analysis), the semantic definition or compiled SQL behind a run, who ran it and when — and to debug failures. Uses the list_query_history MCP tool. For running new queries or analysis use the query skill.

2026-07-14
query
software-developers

Use when the user wants to query or analyze data through the Honeydew semantic layer — including natural language analysis questions, deep multi-step investigations, and structured queries. For model/field discovery use the model-exploration skill.

2026-07-14
validation
software-developers

Use after creating or modifying ANY Honeydew object (metric, attribute, entity, domain). Provides type-specific validation logic to ensure objects work correctly and return sensible results.

2026-07-14
attribute-creation
database-architects

Guides you step-by-step through defining a calculated attribute (dimension) on a Honeydew entity. Covers SQL expression building and pushes to Honeydew via the MCP tools.

2026-07-09
context-item-creation
software-developers

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).

2026-07-09
domain-creation
software-developers

Guides you through creating a Honeydew domain — a governance object that scopes entity/field visibility and applies mandatory filters — ideal for setting up contexts for deep analysis. Also covers domain hierarchy — extending parent domains, inheritance and merge rules, multiple inheritance, and removing inherited items.

2026-07-09
entity-creation
software-developers

Guides you through defining a new Honeydew entity from a data warehouse source — covering source type, granularity key, and initial attribute mapping — then pushes to Honeydew via the MCP tools.

2026-07-09
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