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.
원문 언어: 영어
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SkillsMP는 hashgraph-online/awesome-codex-plugins에서 333개의 skill을 수집했습니다. skill을 열어 소스와 세부 정보를 확인하세요.
hashgraph-online/awesome-codex-plugins수집된 skill 333개 중 13개를 표시합니다.
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.
원문 언어: 영어
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.
원문 언어: 영어
Use when the user wants to query, analyze, or explore data through the Honeydew semantic layer. Covers structured queries and multi-step deep analysis.
원문 언어: 영어
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.
원문 언어: 영어
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.
원문 언어: 영어
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…
원문 언어: 영어
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…
원문 언어: 영어
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…
원문 언어: 영어
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,…
원문 언어: 영어
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…
원문 언어: 영어
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).…
원문 언어: 영어
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.…
원문 언어: 영어
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,…
원문 언어: 영어