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Ingeniería de Datos

Explora habilidades de agente para pipelines ETL, transformación de datos y big data

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data-throughput-accelerator

Fuenteaffaan-m/ECC/pi/core/skills/data-throughput-accelerator/SKILL.md
Actualizado

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.

Idioma del contenido del Skill: inglés

parallel-execution-optimizer

Fuenteaffaan-m/ECC/pi/core/skills/parallel-execution-optimizer/SKILL.md
Actualizado

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.

Idioma del contenido del Skill: inglés

brownfield-retrospective

Fuenteaffaan-m/ECC/skills/brownfield-retrospective/SKILL.md
Actualizado

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.

Idioma del contenido del Skill: inglés

incremental-implementation

Fuenteaddyosmani/agent-skills/skills/incremental-implementation/SKILL.md
Actualizado

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.

Idioma del contenido del Skill: inglés

worker-visualizer

Fuentenexu-io/open-design/design-templates/worker-visualizer/SKILL.md
Actualizado

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.

Idioma del contenido del Skill: inglés

worker-visualizer

Fuentenexu-io/open-design/plugins/_official/examples/worker-visualizer/SKILL.md
Actualizado

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.

Idioma del contenido del Skill: inglés