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flpbalada AI Skills

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Browse published AI skills maintained by flpbalada. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

33

Repository stars across indexed skills

1,394

Repository forks

186

Average repository stars per indexed skill

42

Repository stars may repeat across skills from the same repository.

33 skills

Browse skills

GitHub

typescript-satisfies-operator

flpbalada

Guides proper usage of TypeScript's satisfies operator vs type annotations. Use this skill when deciding between type annotations (colon) and satisfies, validating object shapes while preserving literal types,...

GitHub

typescript-best-practices

flpbalada

Guides TypeScript best practices for type safety, code organization, and maintainability. Use this skill when configuring TypeScript projects, deciding on typing strategies, writing async code, or reviewing Typ...

GitHub

naming-cheatsheet

flpbalada

Apply language-agnostic naming conventions using the A/HC/LC pattern. Use when naming variables, functions, or reviewing code for naming consistency.

GitHub

project-structure

flpbalada

Guides React/Next.js/TypeScript project organization using feature-based architecture. Use when structuring new projects, reorganizing codebases, or deciding where to place new code.

GitHub

react-use-client-boundary

flpbalada

Guides proper usage of "use client" directive in React/Next.js. Use this skill when adding client components, troubleshooting Server Component errors, or deciding where to place the client boundary.

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.

GitHub

user-story-fundamentals

flpbalada

Capture requirements from user perspective with structured user stories. Use when writing backlog items, defining acceptance criteria, prioritizing features, or communicating requirements between product and de...

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.