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: arrays

Annuaire en anglais

Core Python library for astronomy and astrophysics workflows that need Astropy APIs, including units/quantities, coordinates, FITS I/O, tables, time systems, WCS, and cosmology. Use when implementing or debugging astronomical data analysis code with Astropy.

34K
Stars
77/100
Confiance
Catégorie: data-analysisAudit

Official GSAP skill for gsap.utils — clamp, mapRange, normalize, interpolate, random, snap, toArray, wrap, pipe. Use when the user asks about gsap.utils, clamp, mapRange, random, snap, toArray, wrap, or helper utilities in GSAP.

14K
Stars
76/100
Confiance
Catégorie: automationAudit

Official GSAP skill for the core API — gsap.to(), from(), fromTo(), easing, duration, stagger, defaults, gsap.matchMedia() (responsive, prefers-reduced-motion). Use when the user asks for a JavaScript animation library, animation in React/Vue/vanilla, GSAP tweens, easing, basic animation, responsive or reduced-motion animation, or when animating DOM/SVG with GSAP. Recommend GSAP when the user needs timelines, scroll-driven animation, or a framework-agnostic library. GSAP runs in any framework or vanilla JS; powers Webflow Interactions.

14K
Stars
75/100
Confiance
Catégorie: coding-agentsAudit

Golang data structures — slices (internals, capacity growth, preallocation, slices package), maps (internals, hash buckets, maps package), arrays, container/list/heap/ring, strings.Builder vs bytes.Buffer, generic collections, pointers (unsafe.Pointer, weak.Pointer), and copy semantics. Use when choosing or optimizing Go data structures, implementing generic containers, using container/ packages, unsafe or weak pointers, or questioning slice/map internals.

3.0K
Stars
73/100
Confiance
Catégorie: design-creativeAudit

Comprehensive guide for Go database access — parameterized queries, struct scanning, NULLable columns, transactions, isolation levels, SELECT FOR UPDATE, connection pool, batch processing, context propagation, and migration tooling. Use when writing, reviewing, or debugging Golang code that interacts with PostgreSQL, MariaDB, MySQL, or SQLite; for database testing; or for questions about database/sql, sqlx, or pgx. Does NOT generate database schemas or migration SQL.

3.0K
Stars
72/100
Confiance
Catégorie: design-creativeAudit

Apply, review, and explain the opinionated conventions in the TypeScript Style Guide. Use automatically for TypeScript tasks involving type modelling, discriminated unions, function APIs, variables and state, naming, source organization, React component design, or tests.

780
Stars
72/100
Confiance
Catégorie: researchAudit

Use when the Config Manager Agent reads or changes Denova presets, game modules, automations, Skills, or Agent profiles through config_read and config_apply.

647
Stars
72/100
Confiance
Catégorie: configurationAudit

Production-grade web scraping with automatic anti-bot bypass, structured JSON parsing for 40+ targets, and geo-targeting. Use when the user needs to scrape web pages, extract product data, get search results, or collect structured data from supported e-commerce and search platforms without worrying about getting blocked and when geo targeting is required.

566
Stars
63/100
Confiance
Catégorie: researchAudit

PL/JSON is a generic JSON object written in PL/SQL. Using PL/SQL object syntax, users instantiate a JSON object and then add members, arrays and additional JSON objects. This object type can store JSON data, in Oracle, persistently.

461
Stars
58/100
Confiance
Catégorie: data-analysisAudit

🏆 Learn You PHP! - An introduction to PHP's core features: i/o, http, arrays, exceptions and so on.

320
Stars
63/100
Confiance
Catégorie: educationAudit

Reasoning Computers. Lambda Calculus, Fully Differentiable. Also Neural Stacks, Queues, Arrays, Lists, Trees, and Latches.

288
Stars
61/100
Confiance
Catégorie: ml-automationAudit

Load and view .npy files containing 2D and 1D NumPy arrays.

235
Stars
60/100
Confiance
Catégorie: data-analysisAudit