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AI Agent Workflow Collection

Skill pack
5 skills0 selected
uw-ssecSkills in this pack

Configure and optimize compression for Zarr arrays. Covers all numcodecs compressors (Blosc, Zstd, LZ4, Gzip, LZMA, BZ2), pre-compression filters (Delta, Quantize, FixedScaleOffset, PackBits), codec pipelines, Blosc thread safety, and the trade-offs between compression speed and ratio.

English

Use when running a heuristic evaluation, structuring a design critique, selecting which design framework to apply for a given project context, or auditing a UI against Gestalt/Nielsen/Rams principles.

English

Core Dockerfile best practices including multi-stage builds, layer caching, security hardening, base image selection, and language-specific patterns for Python, Node, Rust, R, Go, Julia, and C/C++.

English

Safely apply chunking configurations to Zarr datasets with validation, progress reporting, memory-bounded execution, and rollback safety. Supports local and cloud storage backends.

English

Use when designing or coding a new interface that needs a distinctive aesthetic direction, when reviewing visuals for hierarchy/brand alignment, or when an existing UI feels generic ("AI slop") and needs production-grade visual polish.

English

Includes Compression Codecs, Design Philosophies, Dockerfile Patterns, and other workflows.

Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI

Supported by the Atlas install prompt. Skill-specific requirements vary.

Pack stats

Skills5CategorygeneralStars0

What’s included

Compression Codecs

Configure and optimize compression for Zarr arrays. Covers all numcodecs compressors (Blosc, Zstd, LZ4, Gzip, LZMA, BZ2), pre-compression filters (Delta, Quantize, FixedScaleOffset, PackBits), codec pipelines, Blosc thread safety, and the trade-offs between compression speed and ratio.

Design Philosophies

Use when running a heuristic evaluation, structuring a design critique, selecting which design framework to apply for a given project context, or auditing a UI against Gestalt/Nielsen/Rams principles.

Dockerfile Patterns

Core Dockerfile best practices including multi-stage builds, layer caching, security hardening, base image selection, and language-specific patterns for Python, Node, Rust, R, Go, Julia, and C/C++.

Rechunking

Safely apply chunking configurations to Zarr datasets with validation, progress reporting, memory-bounded execution, and rollback safety. Supports local and cloud storage backends.

Visual Design

Use when designing or coding a new interface that needs a distinctive aesthetic direction, when reviewing visuals for hierarchy/brand alignment, or when an existing UI feels generic ("AI slop") and needs production-grade visual polish.

Quick start

  1. Choose your skills. Select individual skills above, or choose the entire pack.
  2. Copy the install prompt. Use Copy install prompt above the list.
  3. Send it to your agent. Paste into your coding agent’s chat. Your agent reviews the source and guides the setup.

Try it with your agent

After installation, start with a request like:

Example request
Use the Compression Codecs skill to help with my task.
Ask me for the context you need before getting started.

Requirements & license

  • A coding agent that can access your project files and install skills.
  • Your agent checks each skill’s instructions, dependencies, and permissions during setup.
  • Reported license for the skills shown: BSD-3-Clause. The author’s terms apply.
AI Agent Workflow Collection | Agent Skills Atlas