Results for “resources”

Process-based discrete-event simulation framework in Python. Use this skill when building simulations of systems with processes, queues, resources, and time-based events such as manufacturing systems, service operations, network traffic, logistics, or any system where entities interact with shared resources over time.

Process-based discrete-event simulation framework in Python. Use this skill when building simulations of systems with processes, queues, resources, and time-based events such as manufacturing systems, service operations, network traffic, logistics, or any system where entities interact with shared resources over time.

Process-based discrete-event simulation framework in Python. Use this skill when building simulations of systems with processes, queues, resources, and time-based events such as manufacturing systems, service operations, network traffic, logistics, or any system where entities interact with shared resources over time.

Process-based discrete-event simulation in Python with SimPy — processes, queues, shared resources, and time-based events. Use when simulating systems where entities contend for shared resources over time, such as manufacturing systems, service operations, network traffic, or logistics. Part of the AlterLab Academic Skills suite.

Transform code files into learning resources by adding educational comments that explain syntax, idioms, and design choices.

Generate a complete, production-ready MCP server project in TypeScript with tools, resources, and proper configuration.

Expert in physical and human geography, climate systems, cartography, and spatial analysis — builds geographically coherent worlds where terrain, climate, resources, and settlement patterns make scientific sense

Operate the Unity Editor through MCP tools and resources, covering scene management, script editing, testing, and automation workflows.

Monitor system resources with htop and related tools. Use when a user asks to check CPU/memory usage, find resource-hungry processes, monitor server performance, or diagnose system bottlenecks.

Build discrete-event simulations of systems with processes, queues, resources, and time-based events using SimPy in Python.

Build discrete-event simulations of systems with processes, queues, resources, and time-based events using the SimPy framework in Python.

Generate a complete MCP server project in Python with tools, resources, and proper configuration using uv and the MCP SDK.

Guides the creation of effective agent skills, covering structure, progressive disclosure, and best practices for SKILL.md files and bundled resources.

Use when assessing new ideas, technologies, or approaches before committing resources to them. This skill provides a framework for evaluating innovation opportunities systematically, separating genuine breakthroughs from hype.

Guides users through creating effective skills that extend AI coding agents with specialized knowledge, workflows, and tool integrations.

Migrate AEM Cloud Service resource listeners to the lightweight ResourceChangeListener + JobConsumer pattern, covering migration from legacy APIs, OSGi configuration, troubleshooting, and review checklists.

Resource manager. Maintains hired-worker wording, aliases, keyword mapping, and hire recommendations.

Produce a daily or weekly cross-source digest — mentions, action items, and decisions that need attention, not raw activity.

Design consistent REST APIs with resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting.

HR hiring. Searches .harness/shared/HR-Resource candidates, installs selected worker skills into .claude and .codex, and records roster wiring.

Search for business grants, government funding, startup accelerators. Auto-fill applications.

Implement memory-safe programming with RAII, ownership, smart pointers, and resource management across Rust, C++, and C. Use when writing safe systems code, managing resources, or preventing memory bugs.

Generates APEXlang artifacts for Oracle APEX applications using deterministic local-context discovery and compact machine-readable contracts.

Generate a complete Rust Model Context Protocol server project with tools, prompts, resources, and tests using the official rmcp SDK.

Design consistent, developer-friendly REST APIs with resource naming, HTTP methods, status codes, pagination, filtering, sorting, authentication, and rate limiting.

Redige recurso especial (CPC 1.029 + CF 105 III) e recurso extraordinario (CF 102 III), com prequestionamento obrigatorio, repercussao geral no RE (1.035), regime de repetitivos (1.036-1.041) e a regra NOVA de feriado local (Lei 14.939/2024 + STJ AREsp 2.638.376 — nao e mais intempestividade automatica). Use quando o operador disser REsp, recurso especial, RE, recurso extraordinario, repercussao geral, repetitivo, prequestionamento, levar pro STJ/STF.

Design reading plans with retention strategies. TRIGGERS - Use when user needs help with reading-plan related tasks.

Query resource usage metrics for Railway services. Use when user asks about resource usage, CPU, memory, network, disk, or service performance like "how much memory is my service using" or "is my service slow".

Find existing articles on the brand's own blog covering the target keyword or related topics. Extract reusable modules, internal-linking opportunities, and product use cases to anchor the new article in the brand's existing voice.

Extract structured knowledge from source material. Comprehensive extraction is the default — every insight that serves the domain gets extracted. For domain-relevant sources, skip rate must be below 10%. Zero extraction from a domain-relevant source is a BUG. Triggers on "/reduce", "/reduce [file]", "extract insights", "mine this", "process this".