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ETL 파이프라인, 데이터 변환, 빅데이터를 위한 에이전트 스킬 탐색

카테고리, GitHub 별점, 출처의 최근 업데이트 시점은 카탈로그 구성과 정렬에 사용하는 신호입니다. SkillsMP의 추천, 품질 인증, 안전성 검토, 적합성 보증을 뜻하지 않습니다. 사용 전에 skill 상세 페이지와 출처를 확인하세요.

정렬 기준

결과 52,801개

data-throughput-accelerator

출처affaan-m/ECC/pi/core/skills/data-throughput-accelerator/SKILL.md
업데이트

Diagnose and accelerate large data movement — ingestion, backfill, export, ETL, warehouse loading, manifest catch-up, and table synchronization — by isolating the true bottleneck, benchmarking variants, and codifying the fastest path with a hard accounting block proving rows and timestamps cohere. Use when a pipeline or backfill is too slow and must get faster without losing data correctness.

Skill 콘텐츠 언어: 영어

parallel-execution-optimizer

출처affaan-m/ECC/pi/core/skills/parallel-execution-optimizer/SKILL.md
업데이트

Speed up a task by turning it into a dependency graph of parallel lanes with a lane matrix, batched reads and checks, write surfaces isolated by file, worktree, branch, or service, and a final verification table. Use when the user wants a task done much faster through parallel work, concurrent agents, batched tool calls, isolated worktrees, many independent verification lanes, or bounded homogeneous work that reuses shared preparation while record operations remain sequential, without losing correctness.

Skill 콘텐츠 언어: 영어

brownfield-retrospective

출처affaan-m/ECC/skills/brownfield-retrospective/SKILL.md
업데이트

Run the ECC engineering process retroactively against an existing project slice. Audit current state, reconstruct past decisions, produce a four-axis gap register (thinking, coding practice, missing features, technology selection), then execute fixes forward through the plan-TDD-review pipeline. Use when adopting ECC mid-project, taking over an inherited codebase, or asking what was missed and what would have been built differently from day one.

Skill 콘텐츠 언어: 영어

incremental-implementation

출처addyosmani/agent-skills/skills/incremental-implementation/SKILL.md
업데이트

Delivers changes incrementally in thin, verifiable slices. Use when implementing any feature or change that touches more than one file, or when picking up the next task from a plan. Use when rolling a change out behind a feature flag, when you're about to write a large amount of code at once, or when a task feels too big to land in one step.

Skill 콘텐츠 언어: 영어

worker-visualizer

출처nexu-io/open-design/design-templates/worker-visualizer/SKILL.md
업데이트

A real-time data/particle/simulation visualizer whose heavy compute runs in a Web Worker (off the main thread), optionally sharing memory with the UI via SharedArrayBuffer, and renders to a canvas at 60fps. Produced as a single self-contained `index.html`. Use when the brief asks for a "web worker", "simulation", "particle system", "physics", "off-main-thread", "fractal", "real-time compute", or "audio/data visualizer". OpenDesign serves this in powered-preview mode so Workers and SharedArrayBuffer actually work.

Skill 콘텐츠 언어: 영어

worker-visualizer

출처nexu-io/open-design/plugins/_official/examples/worker-visualizer/SKILL.md
업데이트

A real-time data/particle/simulation visualizer whose heavy compute runs in a Web Worker (off the main thread), optionally sharing memory with the UI via SharedArrayBuffer, and renders to a canvas at 60fps. Produced as a single self-contained `index.html`. Use when the brief asks for a "web worker", "simulation", "particle system", "physics", "off-main-thread", "fractal", "real-time compute", or "audio/data visualizer". OpenDesign serves this in powered-preview mode so Workers and SharedArrayBuffer actually work.

Skill 콘텐츠 언어: 영어