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Found 355 Skills
Expert-level data mesh architecture, domain-oriented ownership, data products, federated governance, and self-serve platforms
Expert guidance for planning and executing cloud adoption using Azure Cloud Adoption Framework. Covers strategy, planning, readiness & landing zones, adoption patterns, governance, security, operations & management, organization & teams, and adoption scenarios. Use when designing Azure landing zones, AVS/AKS, SAP/Oracle migrations, AVD/VDI, or AI/analytics platforms, and other Azure Cloud Adoption Framework related development tasks.
Build and maintain project-specific review policy for `agentic-review` by combining repository docs (`AGENTS.md`, `ENGINEERING.md`, `CONTEXT.md`/`CONTEXT-MAP.md`, ADRs), repository-mined conventions, and structured user input, then writing machine-usable policy files under `<docs-dir>/review/policies/`, including audit-governance metadata consumed by `agentic-review`. Use when the user wants architecture integrity checks (onion/clean/hexagonal), module-specific review rules, dependency-direction policy, naming/inheritance convention enforcement, stricter project/domain review standards, or explicit auditability requirements for specialist review coverage.
ISO 42001 AI Management System compliance automation. Assesses organizational readiness for AIMS certification, evaluates AI system impacts, validates governance structures, and checks Annex A controls. Use for ISO 42001 readiness assessments, AI governance planning, AI impact assessments, responsible AI implementation, and AIMS certification preparation.
Strategic guidance for designing modern data platforms, covering storage paradigms (data lake, warehouse, lakehouse), modeling approaches (dimensional, normalized, data vault, wide tables), data mesh principles, and medallion architecture patterns. Use when architecting data platforms, choosing between centralized vs decentralized patterns, selecting table formats (Iceberg, Delta Lake), or designing data governance frameworks.
Use this skill when authoring PolicyRuleDefinition and PolicyRuleDefinitionSet metadata XML for the Salesforce Enforce-O-Matic MDAPI (Data Cloud governance policies), or when editing *.policyRuleDefinition / *.policyRuleDefinitionSet files. Covers the category decision tree, full schema for all policy variants (ACCESS, GOVERNANCE, RECORD, TRANSFORM), UI-compatibility rules for the Data Governance Policy Builder, and validation guardrails. Do NOT use this skill for UserAccessPolicy, AccessPolicy, SharingRules, PermissionSet, or any non-Enforce-O-Matic access-control metadata — those have their own types and live outside the PolicyRuleDefinition schema.
ALWAYS invoke this skill at the START of every session before doing any other work. This skill ensures the host project has agent governance rules (skill routing, pre-implementation protocol, issue tracking conventions) installed in its context file. It is idempotent — if rules are already present, it exits silently. Without this skill running first, other swain skills (swain-design, swain-do, swain-release) will not be routable.
Skill for using Paperclip — open-source orchestration platform for running autonomous AI-agent companies with org charts, budgets, governance, and heartbeats.
Clinic-architecture-aligned iOS design system engineering for SwiftUI (iOS 26 / Swift 6.2) covering token architecture, color/typography/spacing systems, component style libraries, asset governance, and theming. Enforces @Equatable on views and keeps design-system usage compatible with Feature-to-Domain+DesignSystem boundaries. Use when building or refactoring DesignSystem infrastructure for the clinic modular MVVM-C stack.
Build or evolve a design system by producing a Design System Operating Pack: charter, token model (incl. depth/elevation), component inventory + roadmap, blockframe-to-component mapping, documentation plan, and governance/adoption plan. Use for design systems, component libraries, design tokens, UI kits, and pattern libraries.
Design and implement Azure cloud architectures using best practices for compute, storage, databases, AI services, networking, and governance. Use when building applications on Microsoft Azure or migrating workloads to Azure cloud platform.
Use when a docs-driven repository has a selected or selectable concrete docs/tasks task and needs task-local spec or implementation governance before code changes.