technology-stack-modernization-phase-1-assessment
Sub-skill of technology-stack-modernization: Phase 1: Assessment.
Best use case
technology-stack-modernization-phase-1-assessment is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Sub-skill of technology-stack-modernization: Phase 1: Assessment.
Teams using technology-stack-modernization-phase-1-assessment 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
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/phase-1-assessment/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How technology-stack-modernization-phase-1-assessment Compares
| Feature / Agent | technology-stack-modernization-phase-1-assessment | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Sub-skill of technology-stack-modernization: Phase 1: Assessment.
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
# Phase 1: Assessment ## Phase 1: Assessment - [ ] Document current dependencies and versions - [ ] Identify deprecated packages - [ ] Check for workspace-hub violations (Conda, Matplotlib, root files) - [ ] Review Python version (must be 3.11+) - [ ] Assess breaking changes in major updates
Related Skills
gtm-prospect-pipeline-phased-execution
Phased execution pattern for
ai-tool-assessment
Assess and report on AI tool subscriptions, usage patterns, and cost-effectiveness. Use for reviewing AI subscriptions, analyzing tool usage, optimizing AI spend.
risk-assessment
Perform probabilistic risk assessment with Monte Carlo simulations for offshore marine operations
multi-tool-architecture-assessment
Systematic comparison of competing tools/approaches before committing to a multi-account, multi-tool architecture. Uses parallel subagents for research, system-state audit, and data quality analysis. Produces a decision matrix with explicit trade-offs.
legal-risk-assessment
Assess and classify legal risks using a severity-by-likelihood framework with escalation criteria
technology-stack-modernization
Systematically modernize technology stacks by updating dependencies, replacing deprecated packages, and ensuring workspace-hub standards compliance.
discipline-refactor-phase-4-validation
Sub-skill of discipline-refactor: Phase 4: Validation.
discipline-refactor-phase-3-execution
Sub-skill of discipline-refactor: Phase 3: Execution.
discipline-refactor-phase-2-planning
Sub-skill of discipline-refactor: Phase 2: Planning.
discipline-refactor-phase-1-analysis
Sub-skill of discipline-refactor: Phase 1: Analysis.
skill-creator-phase-1-name
Sub-skill of skill-creator: Phase 1: [Name] (+1).
git-sync-manager-2-multi-phase-sync-pattern
Sub-skill of git-sync-manager: 2. Multi-Phase Sync Pattern.