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Data Engineering

Agent Skills für ETL-Pipelines, Datentransformation und Big Data durchsuchen

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52.801 Ergebnisse

data-throughput-accelerator

Quelleaffaan-m/ECC/pi/core/skills/data-throughput-accelerator/SKILL.md
Aktualisiert

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.

Sprache des Skill-Inhalts: Englisch

parallel-execution-optimizer

Quelleaffaan-m/ECC/pi/core/skills/parallel-execution-optimizer/SKILL.md
Aktualisiert

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.

Sprache des Skill-Inhalts: Englisch

brownfield-retrospective

Quelleaffaan-m/ECC/skills/brownfield-retrospective/SKILL.md
Aktualisiert

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.

Sprache des Skill-Inhalts: Englisch

incremental-implementation

Quelleaddyosmani/agent-skills/skills/incremental-implementation/SKILL.md
Aktualisiert

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.

Sprache des Skill-Inhalts: Englisch

worker-visualizer

Quellenexu-io/open-design/design-templates/worker-visualizer/SKILL.md
Aktualisiert

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.

Sprache des Skill-Inhalts: Englisch

worker-visualizer

Quellenexu-io/open-design/plugins/_official/examples/worker-visualizer/SKILL.md
Aktualisiert

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.

Sprache des Skill-Inhalts: Englisch