This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Evaluate and compare technology stacks with TCO analysis, security assessment, and ecosystem health scoring. Use when comparing frameworks, calculating total cost of ownership, assessing migration paths, or analyzing ecosystem viability.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Evaluate and compare technologies, frameworks, and cloud providers with data-driven, weighted analysis and actionable recommendations.
When NOT to use: trivial decisions between similar tools (use team preference), mandated technology choices (decision already made), emergency production issues (use monitoring tools).
Before the evaluation, confirm these inputs. If any is unknown or vague, ASK — do not assume:
Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.
All scripts are Python library modules — import the class and call its methods. See references/tool-reference.md for full parameters and outputs.
| Tool | Purpose | Entry point |
|---|---|---|
stack_comparator.py | Weighted comparison across 8 categories | from stack_comparator import StackComparator |
tco_calculator.py | Multi-year TCO incl. hidden costs | from tco_calculator import TCOCalculator |
ecosystem_analyzer.py | Ecosystem health & viability scoring | from ecosystem_analyzer import EcosystemAnalyzer |
security_assessor.py | Security posture & compliance readiness | from security_assessor import SecurityAssessor |
migration_analyzer.py | Migration complexity, effort, risks | from migration_analyzer import MigrationAnalyzer |
report_generator.py | Context-aware report rendering | from report_generator import ReportGenerator |
format_detector.py | Detect/parse JSON, YAML, URL, or text input | from format_detector import FormatDetector |
Load the reference that matches the task — keep this file lean and pull detail on demand:
Covers:
Does NOT cover:
engineering/senior-qa for test execution)ra-qm-team compliance skills for regulatory guidance)hr-operations/talent-acquisition for staffing analysis)| Skill | Integration | Data Flow |
|---|---|---|
engineering/senior-security | Feed security assessor output into deeper vulnerability analysis | SecurityAssessor results → security review input |
engineering/senior-devops | Use TCO hosting projections to inform infrastructure planning | TCOCalculator hosting/scaling data → DevOps capacity models |
engineering/senior-qa | Migration test coverage scores inform QA test planning | MigrationAnalyzer testing_requirements → QA test strategy |
ra-qm-team/compliance-auditor | Compliance readiness gaps feed into formal audit preparation | SecurityAssessor.assess_compliance() missing features → audit checklist |
c-level-advisor/cto-advisor | Executive summaries and TCO reports support CTO decision-making | ReportGenerator executive summary → strategic technology decisions |
product-team/product-manager | Ecosystem viability and migration timelines inform product roadmaps | EcosystemAnalyzer + MigrationAnalyzer → roadmap planning |
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This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design and run statistically rigorous A/B tests and experiments. Use when planning experiments, calculating sample sizes, designing test variants, selecting metrics, analyzing results, or when someone says "let's test that."
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design and analyze A/B tests: sample size, test duration, and statistical significance for conversion experiments. Use when setting up an A/B test, calculating sample size, designing an experiment, or analyzing results.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Sales execution across pipeline, discovery, demos, negotiation, and closing. Use when qualifying opportunities, running MEDDIC discovery, building account plans, handling objections, structuring proposals, or forecasting pipeline.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design ad creative across Google, Meta, LinkedIn, Twitter/X, and TikTok with platform format specs, headline formulas, and A/B testing. Use when writing ad copy, generating headline variations, creating ad sets, or validating creative.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Answer Engine Optimization (AEO): optimize content to be cited by LLMs (ChatGPT, Claude, Perplexity, Gemini) in their answers. Use when designing content for LLM citation, auditing citability, or structuring Q&A schema.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.