Découvrez les skills Données et IA, comparez leurs dépôts et consultez leurs instructions.
The "-ilities" framework for non-functional requirements. Use when defining NFRs, evaluating architecture trade-offs, or ensuring quality attributes are addressed in system design. Covers scalability, reliabili...
Use when planning API versioning strategy, handling breaking changes, or managing API deprecation. Covers URL, header, and query parameter versioning approaches.
Track and measure agentic coding KPIs for ZTE progression. Use when measuring workflow effectiveness, tracking Size/Attempts/Streak/Presence metrics, or assessing readiness for autonomous operation.
Collaborative domain modeling through pictographic stories. Use when gathering requirements, understanding business workflows, onboarding team members, or preparing for event storming. Follows Stefan Hofer & He...
Architecture test guidance for .NET using NetArchTest and ArchUnitNET. Use when enforcing architectural boundaries, testing module dependencies, validating layer constraints, or creating performance fitness fun...
Guide selection of appropriate prompt level for a task. Use when choosing between simple prompts and complex workflows, applying the seven levels framework, or matching task complexity to prompt investment.
Building promotion cases, brag documents, tracking wins, and self-advocacy for career advancement. Use when preparing for promotions, documenting accomplishments, or building your case for advancement.
Align architecture and team structure using inverse Conway maneuver
Set up PITER framework elements for AFK agent systems. Use when configuring prompt input sources, triggers, environments, and review processes for autonomous agent workflows.
arc42 architecture documentation template and guidance
Central authority for Claude Code Model Context Protocol (MCP) integration. Covers MCP server installation (HTTP, SSE, stdio transports), server management (add, list, remove), installation scopes (local, proje...
Expert guide for building and managing Gemini CLI Extensions. Covers extension anatomy, GEMINI.md context, commands, MCP integration, and publishing. Use when creating Gemini extensions, linking local extension...
Use when implementing flexible content schemas using EF Core JSON columns, `OwnsOne().ToJson()` patterns, or designing dynamic field storage that avoids migrations. Covers JSON column configuration, LINQ queryi...
Comprehensive authorization guidance covering RBAC, ABAC, ACL, ReBAC, and policy-as-code patterns. Use when designing permission systems, implementing access control, or choosing authorization strategies.
Event-driven API specification with AsyncAPI 3.0 for message-based architectures
Central authority for Claude Code slash commands. Covers built-in commands, custom slash commands (project and personal), plugin commands, MCP slash commands, Skill tool (unified for commands and skills), front...
Jeff Patton's User Story Mapping technique for Agile discovery. Visualizes user journey as a map, identifies backbone activities, walking skeleton, and release slices. Use when organizing requirements into deli...
Analyzes Claude Code ecosystem health by tracking all 27 extensibility components across 6 tiers - including plugin components, core configuration, environment/CLI, authentication, session features, and integra...
Retrieval-Augmented Generation (RAG) system design patterns, chunking strategies, embedding models, retrieval techniques, and context assembly. Use when designing RAG pipelines, improving retrieval quality, or...
Apply R&D framework to optimize prompts and context. Use when optimizing context window usage, reducing prompt size, delegating to specialized agents, or applying systematic context management.
Hub skill for requirements elicitation. Provides technique selection, orchestration guidance, LLMREI patterns, and autonomy level configuration. Use when gathering requirements from stakeholders, conducting eli...
ML inference latency optimization, model compression, distillation, caching strategies, and edge deployment patterns. Use when optimizing inference performance, reducing model size, or deploying ML at the edge.
Design user-facing agent experts for adaptive UX and personalization. Use when building product features that learn from user behavior, creating per-user expertise files, or implementing AI-driven personalizati...
Guide users through TOGAF ADM phases with context-aware advice. Use when applying TOGAF methodology or understanding ADM phase activities.
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.