GitHub
authentication
Implement authentication with NextAuth v5. Use when adding login/logout, checking sessions, protecting API routes, server actions, or pages.
Skills IA Tests et sécurité
Découvrez les skills Tests et sécurité, comparez leurs dépôts et consultez leurs instructions.
Catégories: Tests et sécurité
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Explorer
GitHub
feature-plan
Create implementation plans for Next.js features. Use when breaking down user stories into tasks, planning feature implementation, or decomposing complex requirements.
GitHub
integration-test
Write integration tests with Jest for API routes and database operations. Use when testing backend logic, API endpoints, or data layer.
GitHub
state-management
Manage client-side state with Zustand. Use when building shopping cart, user preferences, theme toggle, UI state, or any cross-component shared state with localStorage persist.
GitHub
api-route
Create Next.js 16 API Route Handlers. Use when building REST endpoints (GET, POST, PUT, DELETE), implementing CRUD operations, or creating authenticated APIs with Zod validation.
GitHub
typescript-types
Define TypeScript types, interfaces, and type utilities. Use when creating type definitions, DTOs, API response types, or component props.
GitHub
database-model
Create Prisma schema models with relations and indexes. Use when designing database schemas, adding models, or defining entity relationships.
GitHub
database-seed
Create robust, error-proof Prisma seed scripts with comprehensive error handling and validation.
GitHub
code-review
Review code for quality, security, performance, and best practices. Use when reviewing changes before commit, auditing code for issues, or suggesting improvements.
GitHub
debugging
Debug code errors systematically. Use when analyzing error messages, fixing bugs, resolving build/lint errors, or troubleshooting runtime issues.
GitHub
argentic-framework-development
Expert knowledge for building AI agents with Argentic - a Python microframework for async MQTT-based agents with multi-LLM support, custom tools, and multi-agent orchestration
GitHub
atomic-blocks
Composable atomic blocks for categorical meta-prompting. Defines 16 reusable blocks across 4 layers (Assessment, Transformation, Refinement, Composition) that can be composed to build custom workflows. Enables...
GitHub
meta-self
Master reference for categorical meta-prompting unified syntax. Contains all modifiers, operators, composition patterns, and execution protocols. Use this skill for self-reference when executing any prompt work...
GitHub
llm4s-scala
LLM4S Scala functional LLM interfaces with Effect system integration. Use when building LLM applications in Scala with ZIO or Cats Effect, implementing type-safe AI pipelines with functional error handling, cre...
GitHub
lmql-constraints
LMQL constraint-guided generation DSL for type-safe prompting with grammar constraints and logical conditions. Use when building structured LLM outputs with guaranteed format compliance, implementing constraine...
GitHub
mcp-categorical
MCP (Model Context Protocol) server patterns with categorical tool composition and typed context protocols. Use when building MCP servers with categorical composition patterns, designing tool interfaces using f...
GitHub
categorical-meta-prompting
Full categorical framework for meta-prompting with verified laws. Use when implementing functor-based task routing, monadic iterative refinement, comonadic context extraction, or quality-tracked composition. In...
GitHub
categorical-structure-builder
Universal template for implementing categorical structures in meta-prompting frameworks. Applies to functors, monads, comonads, natural transformations, adjunctions, hom-equivalences, limits, colimits, and enri...
GitHub
recursive-meta-prompting
Recursive Meta-Prompting (RMP) implementation with unified categorical syntax. Supports @mode:iterative, @quality: thresholds, >=> Kleisli composition, and comonadic context extraction. Use when implementing it...
GitHub
dynamic-prompt-registry
Dynamic prompt registry with unified categorical syntax. Supports @skills:discover(), @skills:compose(A⊗B), Reader monad for runtime lookup, and quality-tracked prompt libraries. Use for meta-prompts referencin...
GitHub
prompt-dsl
Domain-specific language for categorical prompt composition with functor combinators and natural transformation operators. Use when building composable prompt templates, implementing typed prompt algebras, crea...
GitHub
dspy-categorical
DSPy compositional prompt optimization with categorical signatures, module chaining, and automated prompt tuning. Use when building declarative LLM programs with typed signatures, composing multi-step reasoning...
GitHub
effect-ts-ai
@effect/ai integration patterns for categorical AI composition, typed error handling, and production prompt pipelines. Use when building AI applications with Effect-TS, composing LLM calls with typed errors, cr...
GitHub
cc2-research-framework
CC2.0 seven-function research workflow (observe, reason, create, orchestrate, learn, verify, deploy) for categorical AI research. Use when conducting systematic research on categorical AI topics, coordinating m...
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.