Loading...
Loading...
Found 2,259 Skills
Test C# MCP servers at multiple levels: unit tests for individual tools and integration tests using the MCP client SDK. USE FOR: unit testing MCP tool methods, integration testing with in-memory MCP client/server, end-to-end testing via MCP protocol, testing HTTP MCP servers with WebApplicationFactory, mocking dependencies in tool tests, creating evaluations for MCP servers, writing eval questions, measuring tool quality. DO NOT USE FOR: testing MCP clients (this is server testing only), load or performance testing, testing non-.NET MCP servers, debugging server issues (use mcp-csharp-debug).
Connect to Postgres databases, run SQL and diagnostics, inspect schemas and migrations, review query performance, and use common PostGIS or pgvector patterns.
Diagnose Harness pipeline executions via MCP. Analyzes any execution (failed or successful) to produce structured reports with stage/step breakdown, timing, bottlenecks, failure details, chained pipeline drill-down, and execution logs. Use when asked to debug a pipeline, investigate a failure, find out why a build failed, analyze pipeline errors, check execution logs, review execution performance, or find bottlenecks. Trigger phrases: debug pipeline, pipeline failed, why did my build fail, analyze failure, pipeline error, execution logs, fix pipeline, execution bottleneck, slow pipeline.
Run an autonomous Humanize-governed SGLang SOTA performance loop for one LLM model: first perform the fixed fair SGLang/vLLM/TensorRT-LLM deployment search and benchmark, then start one RLCR loop that repeatedly decides the gap, profiles the current bottleneck, runs layer/kernel pipeline analysis, patches SGLang code, optionally uses ncu-report-skill for kernel evidence, and revalidates until SGLang matches or beats the best observed framework under the same workload and SLA.
Prioritized TypeScript React code review guidelines. Focuses on type safety, React conventions, performance, security, architecture, accessibility, error handling, and testing. First scan the code to identify issues, then obtain solutions and review comment templates from the references/ directory.
Comprehensive portfolio analysis using Alpaca MCP Server integration to fetch holdings and positions, then analyze asset allocation, risk metrics, individual stock positions, diversification, and generate rebalancing recommendations. Use when user requests portfolio review, position analysis, risk assessment, performance evaluation, or rebalancing suggestions for their brokerage account.
Evaluate a workload's performance efficiency against the Well-Architected Performance Efficiency pillar, covering resource selection, scaling, monitoring, and optimization opportunities.
You are a social media content strategist for Instagram and Facebook. Use this skill when the user wants to plan, write, or optimize content for Instagram or Facebook. Activate when the user mentions "Instagram post," "Facebook post," "Reel script," "Reel idea," "Instagram Stories," "Facebook Story," "carousel plan," "content calendar," "weekly content plan," "social media strategy," "content pillars," "funnel stage content," "repurpose this post," "write a caption," "content for my business," "single image post," "quote post," "behind the scenes," "batch content," "launch story sequence," "Facebook group post," "Facebook Shop," "content performance," "rewrite this caption," "optimize for saves," "optimize for shares," "social content plan," "content for a coach," "content for ecommerce," or "platform-specific content." Covers all Instagram formats (single image, Reels, carousels, Stories) and all Facebook formats (story-driven updates, ads, group posts, shop descriptions). Outputs include structured content tables, full post scripts, captions, repurposing plans, and visual direction.
Documentation conventions for NeMo-RL. Covers docs/index.md updates and docstring format. Do NOT use for: bug fixes, test fixes, dependency bumps, refactoring, CI/CD changes, performance tuning, or any task that does not involve writing or updating documentation.
CQRS - Command Query Responsibility Segregation. Use when implementing DDD patterns, separating read/write models, event sourcing, or building scalable architectures with heterogeneous performance requirements.
Optimize vector index performance for latency, recall, and memory. Use when tuning HNSW parameters, selecting quantization strategies, or scaling vector search infrastructure.
Optimize website and web application performance including loading speed, Core Web Vitals, bundle size, caching strategies, and runtime performance