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".
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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.
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实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
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.
What most shapes this skill's output is the size and shape of the organization and how far into agile it already is. Settle the inputs below before producing anything. When one is missing or vague and would change the result, ask about it; when it wouldn't, use a sensible default and say which one you used.
velocity_analyzer.py useful; survey results make team_health_checker.py useful.Ask about the two or three inputs that matter most for this request, not the whole list. If the user wants a result straight away, produce it and state your assumptions at the top.
| 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 |
Mistake: The report to leadership celebrates "velocity went from 30 to 45 points" as proof the team improved.
Why it happens: Velocity is the number velocity_analyzer.py already produces, so it is the easiest one to show.
Instead: Treat velocity as a planning input only. Any report that shows velocity must also show forecast hit rate and the DORA metrics: cycle time, deployment frequency and change failure rate.
Mistake: The assessment puts the team at Level 4 on all six dimensions when the evidence supports Level 2.
Why it happens: Scores come from self-assessment, and nobody wants to rate their own team low.
Instead: Write a one-sentence evidence statement for every dimension score before you run agile_maturity_scorer.py. No evidence, no score.
Mistake: The retro ends with a list of grievances, or the same three actions carry over sprint after sprint. Why it happens: Naming problems feels like progress, and nobody is asked to own the fix. Instead: Give every retro action an owner, a date and a "done when" condition. Track carryovers. If an action shows up in three retros, escalate it or drop it.
Eight more, each with a bad and a good example: references/red-flags.md.
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".
中文简介正在准备中。当前显示原文说明。
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."
中文简介正在准备中。当前显示原文说明。
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.
中文简介正在准备中。当前显示原文说明。
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.
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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.
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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.
中文简介正在准备中。当前显示原文说明。