firefrost-gaming/claude-skills-reference

Files

Reza Rezvani 2f57ef8948 feat(agenthub): add AgentHub plugin with cross-domain examples, SEO optimization, and docs site fixes

- AgentHub: 13 files updated with non-engineering examples (content drafts,
  research, strategy) — engineering stays primary, cross-domain secondary
- AgentHub: 7 slash commands, 5 Python scripts, 3 references, 1 agent,
  dry_run.py validation (57 checks)
- Marketplace: agenthub entry added with cross-domain keywords, engineering
  POWERFUL updated (25→30), product (12→13), counts synced across all configs
- SEO: generate-docs.py now produces keyword-rich <title> tags and meta
  descriptions using SKILL.md frontmatter — "Claude Code Skills" in site_name
  propagates to all 276 HTML pages
- SEO: per-domain title suffixes (Agent Skill for Codex & OpenClaw, etc.),
  slug-as-title cleanup, domain label stripping from titles
- Broken links: 141→0 warnings — new rewrite_skill_internal_links() converts
  references/, scripts/, assets/ links to GitHub source URLs; skills/index.md
  phantom slugs fixed (6 marketing, 7 RA/QM)
- Counts synced: 204 skills, 266 tools, 382 refs, 16 agents, 17 commands,
  21 plugins — consistent across CLAUDE.md, README.md, docs/index.md,
  marketplace.json, getting-started.md, mkdocs.yml
- Platform sync: Codex 163 skills, Gemini 246 items, OpenClaw compatible

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

2026-03-17 12:10:46 +01:00

4.7 KiB

Raw Blame History

title, description

title	description
Technology Stack Evaluator — Agent Skill & Codex Plugin	Technology stack evaluation and comparison with TCO analysis, security assessment, and ecosystem health scoring. Use when comparing frameworks. Agent skill for Claude Code, Codex CLI, Gemini CLI, OpenClaw.

Technology Stack Evaluator

:material-code-braces: Engineering - Core :material-identifier: `tech-stack-evaluator` :material-github: Source

Install: claude /plugin install engineering-skills

Evaluate and compare technologies, frameworks, and cloud providers with data-driven analysis and actionable recommendations.

Capabilities
Quick Start
Input Formats
Analysis Types
Scripts
References

Capabilities

Capability	Description
Technology Comparison	Compare frameworks and libraries with weighted scoring
TCO Analysis	Calculate 5-year total cost including hidden costs
Ecosystem Health	Assess GitHub metrics, npm adoption, community strength
Security Assessment	Evaluate vulnerabilities and compliance readiness
Migration Analysis	Estimate effort, risks, and timeline for migrations
Cloud Comparison	Compare AWS, Azure, GCP for specific workloads

Quick Start

Compare Two Technologies

Compare React vs Vue for a SaaS dashboard.
Priorities: developer productivity (40%), ecosystem (30%), performance (30%).

Calculate TCO

Calculate 5-year TCO for Next.js on Vercel.
Team: 8 developers. Hosting: $2500/month. Growth: 40%/year.

Assess Migration

Evaluate migrating from Angular.js to React.
Codebase: 50,000 lines, 200 components. Team: 6 developers.

Input Formats

The evaluator accepts three input formats:

Text - Natural language queries

Compare PostgreSQL vs MongoDB for our e-commerce platform.

YAML - Structured input for automation

comparison:
  technologies: ["React", "Vue"]
  use_case: "SaaS dashboard"
  weights:
    ecosystem: 30
    performance: 25
    developer_experience: 45

JSON - Programmatic integration

{
  "technologies": ["React", "Vue"],
  "use_case": "SaaS dashboard"
}

Analysis Types

Quick Comparison (200-300 tokens)

Weighted scores and recommendation
Top 3 decision factors
Confidence level

Standard Analysis (500-800 tokens)

Comparison matrix
TCO overview
Security summary

Full Report (1200-1500 tokens)

All metrics and calculations
Migration analysis
Detailed recommendations

Scripts

stack_comparator.py

Compare technologies with customizable weighted criteria.

python scripts/stack_comparator.py --help

tco_calculator.py

Calculate total cost of ownership over multi-year projections.

python scripts/tco_calculator.py --input assets/sample_input_tco.json

ecosystem_analyzer.py

Analyze ecosystem health from GitHub, npm, and community metrics.

python scripts/ecosystem_analyzer.py --technology react

security_assessor.py

Evaluate security posture and compliance readiness.

python scripts/security_assessor.py --technology express --compliance soc2,gdpr

migration_analyzer.py

Estimate migration complexity, effort, and risks.

python scripts/migration_analyzer.py --from angular-1.x --to react

References

Document	Content
`references/metrics.md`	Detailed scoring algorithms and calculation formulas
`references/examples.md`	Input/output examples for all analysis types
`references/workflows.md`	Step-by-step evaluation workflows

Confidence Levels

Level	Score	Interpretation
High	80-100%	Clear winner, strong data
Medium	50-79%	Trade-offs present, moderate uncertainty
Low	< 50%	Close call, limited data

When to Use

Comparing frontend/backend frameworks for new projects
Evaluating cloud providers for specific workloads
Planning technology migrations with risk assessment
Calculating build vs. buy decisions with TCO
Assessing open-source library viability

When NOT to Use

Trivial decisions between similar tools (use team preference)
Mandated technology choices (decision already made)
Emergency production issues (use monitoring tools)

4.7 KiB Raw Blame History