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Found 2,228 Skills
Guides management consulting-style work—engagement framing, hypothesis-driven problem structuring, issue trees, business cases, operating model and capability design, strategic options analysis, workshop facilitation, and executive recommendations (not legal advice). Use when diagnosing a business problem, structuring a strategy or transformation initiative, building a business case for leadership, designing target operating models, preparing steerCo or board recommendations, or advising on build-vs-buy and portfolio priorities—not for detailed requirements/BRDs (business-analyst), multi-team delivery tracking (technical-program-manager), contract negotiation (commercial-counsel), revenue accounting (senior-revenue-accountant), applied AI architecture (applied-ai-architect-commercial-enterprise), or system ADRs (senior-system-architecture). Canvas/TAM: business-model-researcher. Comms: communication-lead. M&A closing: transaction-manager. M&A principal/IC: transaction-principal.
Guides identity and access management—workforce and machine identity lifecycle, RBAC/ABAC/PBAC entitlement design, access reviews and recertification, SSO/SAML/OIDC federation, privileged access (PAM/JIT), cloud IAM least privilege (AWS/GCP/Azure concepts), service accounts and secrets hygiene, and separation of duties. Use for IAM, identity governance, access review, RBAC, least privilege, SSO federation, PAM, privileged access, cloud IAM policy, service account, or SoD—not full cloud landing zone architecture (enterprise-cloud-architect), broad cloud security controls (cloud-security-engineer), day-2 break-glass ticket execution only (cloud-system-administrator), pentest (penetration-tester), or legal/HR policy drafting only.
Guides customer-facing and internal technical solution design—discovery and requirements, integration and reference architecture, security/compliance fit, sizing and cost framing, RFP/RFI responses, PoC scoping, build-vs-buy, and handoff to delivery. Use when scoping a customer or partner solution, designing integration architecture for a deal, drafting RFP/RFI technical responses, planning a proof-of-concept, framing security and compliance fit, or preparing solution decks for stakeholders—not for org-wide landing zones and Well-Architected programs (cloud-architect, enterprise-cloud-architect), internal product ADRs and C4 (senior-system-architecture), production Terraform/IaC (infrastructure-engineer), hands-on cloud resource config (cloud-engineer), live PoC execution and competitive demos (sales-engineer), business strategy without technical design (business-consultant), contract redlines (commercial-counsel), or deep FinOps/GL (finops-analyst, compute-accounting-manager).
Expert knowledge for Azure Data Explorer development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring ADX clusters, private endpoints, follower DBs, streaming ingestion, or Power BI integration, and other Azure Data Explorer related development tasks. Not for Azure Synapse Analytics (use azure-synapse-analytics), Azure Stream Analytics (use azure-stream-analytics), Azure HDInsight (use azure-hdinsight), Azure Databricks (use azure-databricks).
Explain core Contentful concepts and route users to the right implementation skill or documentation. Use when users ask conceptual questions, need terminology clarified, want help choosing between APIs (CDA/CMA/CPA/GraphQL), or need guidance on the Contentful MCP server. Also triggers on "Contentful 101", "which Contentful API", "how do I get started", "which skill should I use", "what does X mean in Contentful", "Contentful glossary", "CDA vs CPA", "CDA vs GraphQL", "how does Contentful work", "Contentful architecture", "explain environments", "what are aliases", "content model design", "headless CMS", "Contentful MCP", "MCP server", "set up MCP", "Remix Contentful", "Astro Contentful", "Gatsby Contentful", "SvelteKit Contentful", "Nuxt Contentful". Not for framework-specific implementation (contentful-nextjs), migrations (contentful-migration), personalization (contentful-personalization), or hands-on REST/GraphQL request examples (contentful-api).
Transform a PRD into a technical SPEC document — architecture, API design, data model, error handling, and implementation contracts. Triggers on: prd-to-spec, prd to spec, prd转spec, 需求转设计, 需求转规格, generate spec from prd, design from prd, 技术方案, 设计方案.
End-to-end data engineering pipeline using MinIO, Airbyte, PostgreSQL, DBT, and Airflow with medallion architecture (Bronze/Silver/Gold layers)
Build end-to-end real-time data pipelines with Kafka, PostgreSQL, Airflow, and Streamlit using Medallion Architecture for streaming analytics.
Agent Design Consultant and Review Tool. Based on 12-Factor AgentOps best practices, it is used for: (1) Discussing Agent architecture design solutions; (2) Reviewing the design of existing Agents/Skills/workflows, identifying issues, and providing improvement suggestions. Trigger phrases: Review my agent, Help me analyze this skill, Agent design, Agent optimization, Help me review this workflow, What's wrong with this agent, How to design an agent, Agent architecture consultation.
Design background Data Atlas style agents for Itô basket research, market discovery, parameter drafting, and human-in-the-loop editing. Use for architecture and workflow planning, not live order execution.
Prioritized TypeScript React code review guidelines. Focuses on type safety, React conventions, performance, security, architecture, accessibility, error handling, and testing. First scan the code to identify issues, then obtain solutions and review comment templates from the references/ directory.
Translate approved GDDs + architecture into epics — one epic per architectural module. Defines scope, governing ADRs, engine risk, and untraced requirements. Does NOT break into stories — run /create-stories [epic-slug] after each epic is created.