model-selection
Choose appropriate model for custom agent tasks. Use when selecting between Haiku, Sonnet, and Opus for agents, optimizing cost vs quality tradeoffs, or matching model capability to task complexity.
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Choose appropriate model for custom agent tasks. Use when selecting between Haiku, Sonnet, and Opus for agents, optimizing cost vs quality tradeoffs, or matching model capability to task complexity.
Synchronization patterns for CLAUDE.md and GEMINI.md memory files. Covers import syntax, drift detection, and one-way sync. Use when setting up GEMINI.md, detecting context drift between memory files, understan...
Create Wardley Maps from value chains and user needs
Use when designing content delivery APIs for headless CMS architectures. Covers REST and GraphQL API patterns, content preview endpoints, localization strategies, pagination, filtering, caching headers, and API...
AWS Kiro specification patterns and synchronization. Use when working with Kiro IDE, syncing requirements.md/design.md/tasks.md files, or configuring steering files for AI agent context.
Threat modeling methodologies (STRIDE, DREAD), attack trees, threat modeling as code, and integration with SDLC for proactive security design
Distributed transaction patterns using orchestration and choreography
Central authority for Claude Code sandboxing and isolation. Covers sandboxed bash tool, /sandbox command, filesystem isolation (blocked access, custom paths), network isolation (domain restrictions, proxy suppo...
Use when designing Internal Developer Platforms (IDPs), building platform teams, or improving developer experience. Covers platform engineering principles, Backstage, portal design, and platform team structures...
Use when designing globally distributed systems, multi-region architectures, or disaster recovery strategies. Covers region selection, active-active vs active-passive, data replication, and failover patterns.
Analyze component evolution and movement patterns
Compare current state to target state architecture. Scoped to technical options - requires business context for complete analysis.
Design Plan/Build/Review/Fix workflow steps for ADWs. Use when creating composable workflow primitives, defining step contracts, or implementing step isolation patterns.
Zero Trust architecture principles including ZTNA, micro-segmentation, identity-first security, continuous verification, and BeyondCorp patterns. Use when designing network security, implementing identity-based...
Strategic patterns for Claude-to-Gemini delegation. Covers decision criteria, execution patterns, result parsing, and error handling. Use when determining if a task should be delegated to Gemini CLI.
GitHub Spec Kit 5-phase workflow. Use when following the Constitution → Specify → Plan → Tasks → Implement cycle. Provides phase guidance, file templates, and workflow orchestration.
Write clear, testable acceptance criteria in Given-When-Then format following INVEST principles and BDD best practices.
API documentation and developer portal design
Use when designing digital asset management systems, media libraries, upload pipelines, or asset metadata schemas. Covers media storage patterns, file organization, metadata extraction, and media APIs for headl...
Structured approach to workplace conflicts, performance discussions, and challenging feedback using preparation-delivery-followup framework. Use when preparing for tough conversations, addressing conflicts, giv...
Adapting technical communication for different audiences - engineers, product managers, executives, and customers. Use when communicating across functions, translating technical concepts, presenting to leadersh...
Canonical specification format reference. Use when understanding the canonical spec schema, field requirements, provider-agnostic specification structure, or validating specifications against the schema.
Data classification framework including sensitivity levels, handling requirements, labeling, and data lifecycle management
Four fundamental team types and interaction modes from Team Topologies
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.