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.
Expert agile coaching: framework selection, maturity assessment, retrospective facilitation, transformation roadmaps. Use when selecting an agile framework, coaching teams, facilitating retrospectives, or designing a transformation.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
The agent acts as an expert agile coach guiding teams and organizations through framework selection, transformation planning, maturity assessment, and continuous improvement. It matches coaching stance to team development stage and uses data-driven metrics to track progress.
| Tool | Purpose | Command |
|---|---|---|
agile_maturity_scorer.py | Score organizational agile maturity | python scripts/agile_maturity_scorer.py --assessment assessment.json |
team_health_checker.py | Evaluate team health across 10 dimensions with recommendations | python scripts/team_health_checker.py --survey survey.json |
velocity_analyzer.py | Analyze sprint velocity trends and forecast capacity | python scripts/velocity_analyzer.py --sprints sprints.json --forecast 3 |
In Scope: Framework selection and recommendation, team-level coaching and facilitation, maturity assessment and scoring, retrospective design, transformation roadmap creation, conflict resolution within agile teams, stakeholder alignment for agile adoption.
Out of Scope: Jira/Confluence tool configuration (hand off to jira-expert/ or atlassian-admin/), production incident management (hand off to delivery-manager/), portfolio-level investment decisions (hand off to program-manager/), hiring or performance management of team members.
Limitations: Maturity scoring is a point-in-time assessment that requires honest self-reporting; scores can be gamed. Framework recommendations are guidelines, not prescriptions -- every organization has unique constraints. Transformation timelines assume consistent leadership support; political changes can invalidate roadmaps.
| Integration | Direction | What Flows |
|---|---|---|
scrum-master/ | Bidirectional | Agile coach sets framework; Scrum Master executes sprint-level practices |
delivery-manager/ | Coach -> DM | Transformation roadmap milestones feed into delivery planning |
program-manager/ | Coach -> PgM | Scaling framework selection informs program governance structure |
jira-expert/ | Coach -> Jira | Board and workflow requirements derived from framework selection |
senior-pm/ | PM -> Coach | Portfolio priorities shape which teams get coaching focus first |
confluence-expert/ | Coach -> Confluence | Coaching artifacts (maturity reports, retro outcomes) documented in Confluence |
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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 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.
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.
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.