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SkillsMP a collecté 215 skills depuis aRustyDev/agents. Ouvrez un skill pour examiner sa source et ses détails.
aRustyDev/agentsAffichage de 40 skills collectés sur 215.
Kotlin-specific library development patterns. Use when creating Kotlin libraries, designing idiomatic Kotlin APIs with extension functions and DSLs, configuring Gradle Kotlin DSL (build.gradle.kts), managing multiplatform projects, testing with Kotest/JUnit,…
Langue du texte source : anglais
Foundational Objective-C patterns covering classes, protocols, categories, memory management (ARC/retain-release), blocks, GCD, and Foundation framework. Use when writing Objective-C code, working with Cocoa/Cocoa Touch APIs, bridging to Swift, or needing…
Langue du texte source : anglais
Objective-C-specific library and framework development patterns. Use when creating reusable frameworks, designing public APIs with protocols and categories, configuring Podspecs/Cartfiles/Package.swift, managing header visibility, implementing XCTest suites,…
Langue du texte source : anglais
Foundational Python patterns covering core syntax, idioms, type hints, testing, and modern tooling. Use when writing Python code, understanding Pythonic patterns, working with type hints, or needing guidance on which specialized Python skill to use. This is…
Langue du texte source : anglais
Python-specific library/package development patterns. Use when creating Python packages, designing public APIs with Python idioms, configuring pyproject.toml, managing dependencies with uv, publishing to PyPI, or writing package documentation. Extends…
Langue du texte source : anglais
Foundational Roc patterns covering platform/application architecture, records, tags, pattern matching, abilities, and functional idioms. Use when writing Roc code, understanding the platform model, or needing guidance on which specialized Roc skill to use.…
Langue du texte source : anglais
Roc-specific library and platform development patterns. Use when creating reusable Roc packages, developing custom platforms, organizing package modules, exposing public APIs, managing platform interfaces, or publishing packages. Extends meta-library-dev with…
Langue du texte source : anglais
Run and manage performance benchmarks with cargo xtask bench for facet-json, analyzing results with Markdown reports and comparing against serde_json baseline
Langue du texte source : anglais
Foundational Rust patterns covering core syntax, traits, generics, lifetimes, and common idioms. Use when writing Rust code, understanding ownership basics, working with Option/Result, or needing guidance on which specialized Rust skill to use. This is the…
Langue du texte source : anglais
Rust documentation practices for HASH codebase. Use when writing doc comments, documenting functions/types/traits/modules, creating error sections, using intra-doc links, following rustdoc conventions, or exploring crate APIs with cargo doc.
Langue du texte source : anglais
HASH error handling patterns using error-stack crate. Use when working with Result types, Report types, defining custom errors, propagating errors with change_context, adding context with attach, implementing Error trait, or documenting error conditions in…
Langue du texte source : anglais
Rust crate and library development patterns covering Cargo.toml for libraries, crate structure, module organization, rustdoc, publishing to crates.io, feature flags, semantic versioning, and API design. Use when creating a Rust library or crate, publishing to…
Langue du texte source : anglais
Profile and debug Rust code using valgrind and callgrind with nextest integration. Use when debugging crashes, segfaults, memory errors, analyzing instruction counts, cache behavior, or identifying performance bottlenecks.
Langue du texte source : anglais
Foundational Scala patterns covering immutability, pattern matching, traits, case classes, for-comprehensions, and functional programming. Use when writing Scala code, understanding the type system, or needing guidance on which specialized Scala skill to use.…
Langue du texte source : anglais
Scala-specific library development patterns. Use when creating Scala libraries, designing public APIs with immutability, configuring sbt/Mill build tools, managing cross-Scala version builds, publishing to Maven Central, and writing ScalaDoc. Extends…
Langue du texte source : anglais
Foundational SPARQL patterns covering RDF querying, triple patterns, graph patterns, and semantic web fundamentals. Use when querying RDF data or working with knowledge graphs. This is the entry point for SPARQL development.
Langue du texte source : anglais
Foundational SQL patterns for query writing, schema design, and dialect differences. Use when writing SQL queries, designing database schemas, understanding SQL syntax across PostgreSQL/MySQL/SQLite, or preparing SQL for conversion to other query languages.…
Langue du texte source : anglais
Foundational Swift development patterns covering modern Swift syntax, SwiftUI, protocol-oriented programming, and Cocoa Touch frameworks. Use when writing Swift code, building iOS/macOS/watchOS/tvOS applications, working with SwiftUI or UIKit, understanding…
Langue du texte source : anglais
Swift package development with SPM. Use for Package.swift, public APIs, DocC, XCTest, XCFrameworks, and library publishing. Extends meta-library-dev.
Langue du texte source : anglais
Foundational TypeScript patterns covering types, interfaces, generics, utility types, and common idioms. Use when writing TypeScript code, understanding the type system, or needing guidance on which specialized TypeScript skill to use. This is the entry point…
Langue du texte source : anglais
TypeScript-specific library/package development patterns. Use when creating npm packages, configuring package.json exports, setting up tsconfig.json for libraries, generating declaration files, publishing to npm, or configuring ESM/CJS dual packages. Extends…
Langue du texte source : anglais
TypeScript development guidelines and patterns. Use this skill when writing TypeScript code, creating React components with TypeScript, configuring tsconfig.json, using advanced types like generics or utility types, or when the user asks about TypeScript best…
Langue du texte source : anglais
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or…
Langue du texte source : anglais
Perform AI-powered web searches with real-time information using Perplexity models via LiteLLM and OpenRouter. This skill should be used when conducting web searches for current information, finding recent scientific literature, getting grounded answers with…
Langue du texte source : anglais
Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.
Langue du texte source : anglais
Discover, profile, and evaluate MCP servers for a given domain or purpose. Use when searching for MCP servers to add to a project, comparing server capabilities, enriching the local registry cache, or evaluating whether a server suite covers a stated need.…
Langue du texte source : anglais
Recognize, diagnose, and mitigate patterns of context degradation in agent systems. Use when context grows large, agent performance degrades unexpectedly, or debugging agent failures.
Langue du texte source : anglais
Understand the components, mechanics, and constraints of context in agent systems. Use when designing agent architectures, debugging context-related failures, or optimizing context usage.
Langue du texte source : anglais
Master LLM-as-a-Judge evaluation techniques including direct scoring, pairwise comparison, rubric generation, and bias mitigation. Use when building evaluation systems, comparing model outputs, or establishing quality standards for AI-generated content.
Langue du texte source : anglais
Build evaluation frameworks for agent systems. Use when testing agent performance, validating context engineering choices, or measuring improvements over time.
Langue du texte source : anglais
Apply optimization techniques to extend effective context capacity. Use when context limits constrain agent performance, optimizing for cost or latency, implementing long-running agent systems, agents exhaust memory, or when designing conversation…
Langue du texte source : anglais
This skill should be used when the user asks to "create a hookify rule", "write a hook rule", "configure hookify", "add a hookify rule", or needs guidance on hookify rule syntax and patterns.
Langue du texte source : anglais
Develop reusable library code across languages. Use when designing public APIs, organizing modules, managing versioning, or creating utility libraries. Provides foundational patterns that language-specific *-lib-* skills extend.
Langue du texte source : anglais
Design and implement memory architectures for agent systems. Use when building agents that need to persist state across sessions, maintain entity consistency, or reason over structured knowledge.
Langue du texte source : anglais
Foundational SDK development patterns that domain-specific SDK skills extend. Use when building SDKs for APIs or specifications, creating SDK development skills, or establishing SDK architecture standards across languages.
Langue du texte source : anglais
Use when creating new skills, editing existing skills, initializing skill structure, packaging skills for distribution, or verifying skills work before deployment. This skill applies TDD methodology to documentation.
Langue du texte source : anglais
Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
Langue du texte source : anglais
Design tools that agents can use effectively, including when to reduce tool complexity. Use when creating, optimizing, or reducing agent tool sets.
Langue du texte source : anglais
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
Langue du texte source : anglais
Generate testable hypotheses. Formulate from observations, design experiments, explore competing explanations, develop predictions, propose mechanisms, for scientific inquiry across domains.
Langue du texte source : anglais