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.
原文の言語: 英語
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このリポジトリの skills
SkillsMP は hashgraph-online/awesome-codex-plugins から 333 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
hashgraph-online/awesome-codex-plugins収集済み skill 333 件中 13 件を表示しています。
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.
原文の言語: 英語
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.
原文の言語: 英語
Use when the user wants to query, analyze, or explore data through the Honeydew semantic layer. Covers structured queries and multi-step deep analysis.
原文の言語: 英語
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.
原文の言語: 英語
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.
原文の言語: 英語
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…
原文の言語: 英語
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…
原文の言語: 英語
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…
原文の言語: 英語
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,…
原文の言語: 英語
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…
原文の言語: 英語
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).…
原文の言語: 英語
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.…
原文の言語: 英語
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,…
原文の言語: 英語