technology-stack-modernization-workspace-hub-compliance

Sub-skill of technology-stack-modernization: Workspace-Hub Compliance (+2).

5 stars

Best use case

technology-stack-modernization-workspace-hub-compliance is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Sub-skill of technology-stack-modernization: Workspace-Hub Compliance (+2).

Teams using technology-stack-modernization-workspace-hub-compliance should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/workspace-hub-compliance/SKILL.md --create-dirs "https://raw.githubusercontent.com/vamseeachanta/workspace-hub/main/.agents/skills/_archive/business/admin/technology-stack-modernization/workspace-hub-compliance/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/workspace-hub-compliance/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How technology-stack-modernization-workspace-hub-compliance Compares

Feature / Agenttechnology-stack-modernization-workspace-hub-complianceStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Sub-skill of technology-stack-modernization: Workspace-Hub Compliance (+2).

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Workspace-Hub Compliance (+2)

## Workspace-Hub Compliance


1. **Always use UV, never Conda/Poetry**
2. **Always use Plotly, never Matplotlib/Seaborn**
3. **Always use relative paths for CSV data**
4. **Always organize files in directories, never root**
5. **Always use modern Python (3.11+)**

## Migration Safety


1. **Create feature branch for updates:**
   ```bash
   git checkout -b tech-stack-modernization
   ```

2. **Commit frequently with clear messages:**
   ```bash
   git commit -m "Update pandas 1.5 → 2.0 (breaking changes addressed)"
   git commit -m "Replace matplotlib with plotly (workspace-hub compliance)"
   ```

*See sub-skills for full details.*

## Performance Considerations


1. **Python 3.11+ gives 10-25% speed boost** (no code changes)
2. **UV is 10-100x faster** than pip for environment setup
3. **Plotly HTML can be large** - use CDN mode: `include_plotlyjs='cdn'`
4. **Ruff is 10-100x faster** than Black+isort+flake8 combined

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