Annuaire de skills

Découvrez des skills réutilisables pour les AI agents.

Recherchez de vrais skills GitHub par tâche et vérifiez Stars, confiance, audit, catégorie et chemin d’installation avant de les utiliser.

Chaque recommandation reste clairement reliée à son dépôt, son audit et son chemin d’installation.

Résultats de recherche: intrinsic-value

Annuaire en anglais

🔍 A Hex Editor for Reverse Engineers, Programmers and people who value their retinas when working at 3 AM.

54K
Stars
88/100
Confiance
Catégorie: developmentAudit

Reverse-lookup glossary that turns a vague description of a web animation or motion effect into its exact term ("the bouncy thing when a popover opens" → Pop in; "the iOS rubber-band scroll" → Rubber-banding). Use when the user asks "what's it called when…", or describes a motion effect without knowing its name and wants the right word to prompt an AI or designer with. For naming an effect, not designing or building one.

17K
Stars
87/100
Confiance
Catégorie: design-creativeAudit

React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.

30K
Stars
88/100
Confiance
Catégorie: coding-agentsAudit

Distributed reliable key-value store for the most critical data of a distributed system

52K
Stars
86/100
Confiance
Catégorie: devopsAudit

Apple's approach to interface design and fluid, physical motion, translated for the web. Use when building or reviewing gesture-driven UI, spring animations, drag/swipe/sheet interactions, momentum and interruptible transitions, translucent materials and depth, typography (optical sizing, tracking, leading), reduced-motion, or the design foundations (feedback, spatial consistency, restraint) behind Apple-style interfaces.

18K
Stars
87/100
Confiance
Catégorie: design-creativeAudit

Reviews animation and motion code against a high craft bar derived from Emil Kowalski's design engineering philosophy. Default to flagging; approval is earned.

18K
Stars
87/100
Confiance
Catégorie: design-creativeAudit

Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report

13K
Stars
87/100
Confiance
Catégorie: automationAudit

AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.

1.8K
Stars
77/100
Confiance
Catégorie: developmentAudit

A comprehensive collection of 30+ Claude Code skills for cold email and outbound sales, covering strategy, infrastructure, lead sourcing, and copywriting, with a guided kickoff flow and signal playbooks.

632
Stars
80/100
Confiance
Catégorie: marketing-growthAudit

The AI Datastore for Schemas, BLOBs, and Predictions. Use with your apps or integrate built-in Human Supervision, Data Workflow, and UI Catalog to get the most value out of your AI Data.

1.9K
Stars
76/100
Confiance
Catégorie: devopsAudit
SVF74

Static Value-Flow Analysis Framework for Source Code

1.7K
Stars
74/100
Confiance
Catégorie: developmentAudit

:control_knobs: Compact GUI for fine-tuning parameters and monitoring value changes

4.5K
Stars
83/100
Confiance
Catégorie: design-creativeAudit