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Found 1,573 Skills
Provides AWS Lambda integration patterns for Java with cold start optimization. Use when deploying Java functions to AWS Lambda, choosing between Micronaut and Raw Java approaches, optimizing cold starts below 1 second, configuring API Gateway or ALB integration, or implementing serverless Java applications. Triggers include "create lambda java", "deploy java lambda", "micronaut lambda aws", "java lambda cold start", "aws lambda java performance", "java serverless framework".
Advanced token optimization and context management strategies.
Advanced type-safe RPC patterns for Electrobun desktop applications. Covers bidirectional main↔webview communication, type safety with TypeScript, error handling and validation, performance optimization, streaming data patterns, batch operations, retry strategies, event-based communication, shared type definitions, RPC middleware, request/response patterns, and complex data synchronization. Use this skill when implementing complex communication between main and webview processes, need type-safe RPC with full IntelliSense, handling large data transfers, implementing real-time updates, building type-safe APIs between processes, debugging RPC issues, optimizing RPC performance, or implementing advanced patterns like streaming, batching, or pub/sub. Triggers include "RPC", "main webview communication", "type-safe RPC", "bidirectional RPC", "RPC performance", "RPC error handling", "shared types", "process communication", or "IPC patterns".
Knowledge base for designing, reviewing, and linting agentic AI infrastructure. Use when: (1) designing a new agentic system and need to choose patterns, (2) reviewing an existing agentic architecture ADR or design doc for gaps/risks, (3) applying the lint script to an ADR markdown file to get structured findings, (4) looking up a specific agentic pattern (prompt chaining, routing, parallelization, reflection, tool use, planning, multi-agent collaboration, memory management, learning/adaptation, MCP, goal setting, exception handling, HITL, RAG, A2A, resource optimization, reasoning techniques, guardrails, evaluation, prioritization, exploration/discovery). All rules and guidance are grounded in the PDF "Agentic Design Patterns" (482 pages).
Comprehensive Rust coding guidelines with 179 rules across 14 categories. Use when writing, reviewing, or refactoring Rust code. Covers ownership, error handling, async patterns, API design, memory optimization, performance, testing, and common anti-patterns. Invoke with /rust-skills.
Designs and implements CI/CD pipelines for automated testing, building, deployment, and security scanning across multiple platforms. Covers pipeline optimization, test integration, artifact management, and release automation.
Python code security analysis, performance optimization, and maintainability assessment
Optimizes Python library performance through profiling (cProfile, PyInstrument), memory analysis (memray, tracemalloc), benchmarking (pytest-benchmark), and optimization strategies. Use when analyzing performance bottlenecks, finding memory leaks, or setting up performance regression testing.
Next.js App Router best practices — file conventions, RSC boundaries, data patterns, async APIs, metadata, error handling, route handlers, image/font optimization, bundling. Use when writing, reviewing, or debugging Next.js App Router code.
Core Web Vitals and performance optimization for Astro sites. LCP, CLS, INP optimization, bundle size, fonts, third-party scripts. Use for performance tuning.
Create, audit, and maintain CLAUDE.md documentation files that configure Claude Code for projects. Use this skill when (1) initializing a new project with Claude Code configuration, (2) reviewing or improving existing CLAUDE.md files, (3) organizing project instructions using progressive disclosure patterns, (4) converting repeated instructions into permanent documentation, or (5) setting up agent_docs/ structures for larger codebases. Handles the WHAT/WHY/HOW framework, conciseness optimization, and file import patterns.
Optimize application performance and scalability. Use when investigating slow applications, scaling bottlenecks, or improving response times. Use for profiling, caching, database optimization, frontend performance, and backend tuning.