Audit websites for accessibility issues and WCAG compliance. Use when checking accessibility, fixing a11y issues, or ensuring WCAG compliance.
日本語の概要は準備中です。原文の説明を表示しています。
Maps the full customer journey from first touch to advocacy. Generates a comprehensive customer-journey.md with all stages, touchpoints, emotions, pain points, opportunities, Mermaid diagrams, and metrics. Use when mapping customer experience, designing onboarding flows, identifying churn risks, or optimizing conversion funnels.
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Produce a comprehensive, actionable customer journey map spanning every stage from initial awareness through long-term advocacy.
references/journey-stages.md — the seven stages and the dimensions to analyze for eachreferences/output-template.md — exact structure for the generated customer-journey.mdreferences/mermaid-diagrams.md — both required Mermaid diagrams and the satisfaction scoring guidereferences/examples.md — invocation examples, research protocol, and ambiguity handlingCollect inputs. Gather Product/Service, Target Persona, Touchpoints (optional), and Channels. When any are missing, infer reasonable values and document the assumptions at the top of the output. Ask one clarifying question only when the product type is genuinely unclear.
Research context. Use WebSearch to ground the map in real reviews, complaints, competitor comparisons, and industry patterns. See references/examples.md for the research protocol.
Map all seven stages. Build a detailed stage-by-stage analysis covering Awareness, Consideration, Decision, Onboarding, Retention, Expansion, and Advocacy. See references/journey-stages.md for the dimensions to cover per stage.
Identify opportunities. Surface pain points, emotional states, and improvement opportunities at every stage. Include honest friction even in generally positive stages, and cross-reference how one stage's issues create downstream effects.
Generate the deliverable. Write customer-journey.md to the current working directory following references/output-template.md. Include both Mermaid diagrams per references/mermaid-diagrams.md.
| Input | Description | Example |
|---|---|---|
| Product/Service | What is being sold or offered | "B2B SaaS project management tool" |
| Target Persona | Who the primary customer is | "VP of Engineering at mid-market companies, 200-1000 employees" |
| Touchpoints | Known interaction points (optional) | "Google search, blog, demo request, sales call, onboarding email sequence" |
| Channels | Active marketing/sales/support channels | "Website, email, LinkedIn, phone, in-app, Slack community" |
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概要と使いどころ
Audit websites for accessibility issues and WCAG compliance. Use when checking accessibility, fixing a11y issues, or ensuring WCAG compliance.
日本語の概要は準備中です。原文の説明を表示しています。
Deploy a 2-layer parallel agent hierarchy for large, parallelizable work — big refactors, multi-file migrations, codebase-wide audits, bulk generation. A top-tier commander (Fable or Opus) orchestrates the swarms; the user picks a power level (Max Power / Heavy / Balanced / Economy) that sets the Opus/Sonnet/Haiku model mix per layer. Layer 1 is 3-50+ specialist agents, each with its own full context window; Layer 2 is 2+ sub-agents per member. Includes git safety, tiered sizing, a pre-deploy gate, phantom-completion checks, and multi-wave follow-up.
日本語の概要は準備中です。原文の説明を表示しています。
Use to test whether an AI agent, prompt, or skill actually works before or after it ships — build a small eval set, score runs, and catch regressions when the prompt or model changes. Trigger when the user asks whether a prompt is good, wants to compare models or versions, sees inconsistent agent output, or is about to put an agent in front of customers.
日本語の概要は準備中です。原文の説明を表示しています。
Deploys swarms of sub-agents for massive parallel data processing tasks. Unlike agent-army (which is for code changes), this is for DATA tasks -- processing 1000 documents, analyzing datasets, bulk content generation. Configurable swarm size, task distribution, result aggregation, progress tracking, and error recovery.
日本語の概要は準備中です。原文の説明を表示しています。
Designs and deploys custom agent teams for specific business workflows. Interactive discovery of business processes, then generates complete team configurations with specialized agent roles, tool access, communication protocols, and handoff rules.
日本語の概要は準備中です。原文の説明を表示しています。
Agent-to-Agent (A2A) communication protocol. Connect two or more Claude agents that pass messages, share context, delegate tasks, and collaborate. Implements structured handoffs, shared memory, and multi-agent conversations.
日本語の概要は準備中です。原文の説明を表示しています。