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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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GitHub

laravel-policies

leeovery

Authorization policies for resource access control. Use when working with authorization, permissions, access control, or when user mentions policies, authorization, permissions, can, ability checks.

GitHub

laravel-dtos

leeovery

Data Transfer Objects using Spatie Laravel Data. Use when handling data transfer, API requests/responses, or when user mentions DTOs, data objects, Spatie Data, formatters, transformers, or structured data hand...

GitHub

laravel-multi-tenancy

leeovery

Multi-tenant application architecture patterns. Use when working with multi-tenant systems, tenant isolation, or when user mentions multi-tenancy, tenants, tenant scoping, tenant isolation, multi-tenant.

GitHub

laravel-validation

leeovery

Form request validation and comprehensive validation testing. Use when working with validation rules, form requests, validation testing, or when user mentions validation, form requests, validation rules, condit...

GitHub

laravel-packages

leeovery

Package development and extraction of reusable code. Use when working with package development, code reusability, or when user mentions packages, composer packages, extract package, reusable code, package devel...

GitHub

laravel-value-objects

leeovery

Immutable value objects for domain values. Use when working with domain values, immutable objects, or when user mentions value objects, immutable values, domain values, money objects, coordinate objects.

GitHub

faf-expert

Wolfe-Jam

Expert in .faf (Foundational AI-context Format) files for persistent project context. Use when working with .faf files, project DNA, CLAUDE.md bi-sync, faf-cli commands, MCP server configuration, or AI-readines...

GitHub

hypothesis-tree

flpbalada

Structure complex questions into testable hypotheses. Use when validating product ideas, debugging problems, planning experiments, or breaking down ambiguous challenges into actionable research.

GitHub

cognitive-biases

flpbalada

Apply cognitive bias knowledge to product design and decision-making. Use when designing user experiences, analyzing user behavior, improving conversions, or ensuring ethical design practices.

GitHub

self-initiated-triggers

flpbalada

Design internal triggers for sustained user engagement. Use when building habit-forming features, improving retention without notifications, or transitioning users from external prompts to self-motivated engage...

GitHub

halo-effect-psychology

flpbalada

Apply the halo effect in product design and UX. Use when designing first impressions, brand perception, feature presentation, or understanding how one positive attribute influences perception of others.

GitHub

progressive-disclosure

flpbalada

Reduce complexity by revealing information progressively. Use when designing onboarding, complex forms, feature-rich interfaces, or any experience where showing everything at once would overwhelm users.

GitHub

visual-cues-cta-psychology

flpbalada

Design effective CTAs using visual attention and gaze psychology principles. Use when designing landing pages, button hierarchies, conversion elements, or optimizing user attention flow through interfaces.

GitHub

curiosity-gap

flpbalada

Create engagement through strategic information gaps that drive user action. Use when designing notifications, writing headlines, planning onboarding flows, or creating content that needs to capture and hold at...

GitHub

hicks-law

flpbalada

Optimize decision-making speed by managing choice quantity. Use when designing navigation, menus, feature sets, onboarding flows, or any interface where users must choose between options.

GitHub

hooked-model

flpbalada

Design habit-forming products using the Hook cycle. Use when building engagement loops, improving retention, designing notifications, or creating products users return to without external prompting.

GitHub

social-proof-psychology

flpbalada

Leverage social proof principles to build trust and influence user behavior. Use when designing landing pages, adding testimonials, displaying user stats, or optimizing conversion elements with social validatio...

GitHub

loss-aversion-psychology

flpbalada

Leverage loss aversion in product design and messaging. Use when designing retention features, pricing strategies, onboarding flows, or any experience where framing around potential loss can drive behavior.

GitHub

what-not-to-do-as-product-manager

flpbalada

Anti-patterns and mistakes to avoid as a product manager. Use when evaluating leadership behaviors, improving team dynamics, reflecting on management practices, or onboarding new product managers.

GitHub

status-quo-bias

flpbalada

Understand and design for users' preference for current state over change. Use when planning migrations, introducing new features, designing defaults, or overcoming resistance to product adoption.

GitHub

game-theory-tit-for-tat

flpbalada

Apply Tit for Tat strategy for negotiations, relationships, and repeated interactions. Use when navigating workplace dynamics, building partnerships, handling conflicts, or designing systems with reciprocal int...

GitHub

cognitive-load

flpbalada

Design experiences that optimize mental resources using Cognitive Load Theory. Use when designing interfaces, creating onboarding flows, planning information architecture, or improving task completion rates.

GitHub

business-model-canvas

flpbalada

Design and analyze business models using the Business Model Canvas framework. Use when evaluating startups, planning new products, pivoting existing businesses, or understanding how companies create and capture...

GitHub

graph-thinking

flpbalada

Apply graph-based thinking to visualize complex relationships and solve problems non-linearly. Use when mapping dependencies, analyzing systems, exploring interconnected concepts, or designing architectures.

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.

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