Guides you step-by-step through defining a business metric (aggregation) on a Honeydew entity. Covers SQL expression building and pushes to Honeydew via the MCP tools.
Langue du texte source : anglais
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SkillsMP a collecté 333 skills depuis hashgraph-online/awesome-codex-plugins. Ouvrez un skill pour examiner sa source et ses détails.
hashgraph-online/awesome-codex-pluginsAffichage de 13 skills collectés sur 333.
Guides you step-by-step through defining a business metric (aggregation) on a Honeydew entity. Covers SQL expression building and pushes to Honeydew via the MCP tools.
Langue du texte source : anglais
Use when exploring Honeydew semantic layer, discovering entities/fields, setting up workspace and branch context, or querying data. For creating metrics use metric-creation skill. For creating attributes use attribute-creation skill.
Langue du texte source : anglais
Use when the user wants to query, analyze, or explore data through the Honeydew semantic layer. Covers structured queries and multi-step deep analysis.
Langue du texte source : anglais
Guides you through defining a relationship between two Honeydew entities — covering join type, direction, cross-filtering, and connection method — then pushes the updated entity YAML to Honeydew via the MCP tools.
Langue du texte source : anglais
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.
Langue du texte source : anglais
Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less…
Langue du texte source : anglais
Progressive disclosure architecture for organizing project context as a DAG (directed acyclic graph). Agents enter at the root and traverse only the subgraph relevant to their task. Covers the 4-tier information flow (refs → kits → plans → impl), CLAUDE.md…
Langue du texte source : anglais
How to write and maintain a DESIGN.md in the 9-section Google Stitch format. Covers the 9-section structure, design token conventions, quality standards, integration with kits and build tasks, revision patterns, and collection import. Trigger phrases: "design…
Langue du texte source : anglais
Implementation tracking documents for maintaining living records of what was built, what is pending, what failed, and what dead ends were explored. Covers the full tracking document template, dead ends prevention, cross-iteration continuity, spec compaction,…
Langue du texte source : anglais
Core Cavekit methodology — the master skill that teaches the Hunt lifecycle and routes to all sub-skills. Covers the Specify Before Building principle, the scientific method analogy, the four-phase Hunt lifecycle, decision matrix for when to use Cavekit, and…
Langue du texte source : anglais
Peer Review Ralph Loop — combines Cavekit kits with a Ralph Loop and true cross-model peer review using Codex (OpenAI). Claude builds from specs; Codex reviews adversarially. Primary path: Codex CLI delegation via codex-review.sh (fast, no MCP overhead).…
Langue du texte source : anglais
Use when building, reviewing, or refactoring a Remotion project, especially parameterized launch or demo videos with shared props schemas, calculateMetadata, Sequence and Series timing, multiple aspect ratios, terminal or footage layers, and render scripts.…
Langue du texte source : anglais
How to write Blueprint-quality blueprints that AI agents can consume effectively. Covers implementation-agnostic blueprint design, testable acceptance criteria, hierarchical structure, cross-referencing, blueprint templates, greenfield and rewrite patterns,…
Langue du texte source : anglais