technology-stack-modernization-current-state

Sub-skill of technology-stack-modernization: Current State (+3).

5 stars

Best use case

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

Sub-skill of technology-stack-modernization: Current State (+3).

Teams using technology-stack-modernization-current-state 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/current-state/SKILL.md --create-dirs "https://raw.githubusercontent.com/vamseeachanta/workspace-hub/main/.agents/skills/_archive/business/admin/technology-stack-modernization/current-state/SKILL.md"

Manual Installation

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

How technology-stack-modernization-current-state Compares

Feature / Agenttechnology-stack-modernization-current-stateStandard 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: Current State (+3).

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

# Current State (+3)

## Current State


- **Version:** [current_version]
- **Usage:** [where/how it's used]
- **Issues:** [any known problems]

## Update Plan


- **Target Version:** [target_version]
- **Breaking Changes:** [yes/no - list if yes]
- **Migration Steps:**
  1. [step 1]
  2. [step 2]
  3. [step 3]

## Testing Plan


- [ ] Unit tests pass
- [ ] Integration tests pass
- [ ] Manual testing completed
- [ ] Performance benchmarks within acceptable range

## Rollback Plan


If update fails:
1. Revert pyproject.toml changes
2. Reinstall previous version: `uv pip install [package]==[old_version]`
3. Document issue for future reference
```

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