Rendiment
Anàlisi i optimització del rendiment
autocannon
TerminalSkills
Benchmark HTTP APIs with Autocannon. Use when a user asks to load test an API, measure request throughput, find performance bottlenecks, benchmark API endpoints, or compare server configurations.
api-load-tester
TerminalSkills
Generates and executes load test scripts for APIs using k6, wrk, or autocannon. Creates realistic test scenarios from OpenAPI specs, route files, or endpoint descriptions. Use when someone needs to load test, stress test, benchmark, or find the breaking point of their API. Trigger words: load test, stress test, benchmark, RPS, concurrent users, breaking point, performance test, k6, wrk.
browser
julianromli
Minimal Chrome DevTools Protocol tools for browser automation and scraping. Use when you need to start Chrome, navigate pages, execute JavaScript, take screenshots, or interactively pick DOM elements.
backend-dev
julianromli
Comprehensive backend development workflow that orchestrates expert analysis, architecture design, implementation, and deployment using the integrated toolset. Handles everything from API design and database architecture to security implementation and DevOps automation.
x-filter
kangarooking
Score and filter topics for X content creation using weighted criteria. Use when user wants to evaluate collected materials, filter topics by score, or mentions "filter topics", "score materials", "x-filter", "选题筛选". Applies 10-point scoring system with customizable weights.
django-perf-review
getsentry
Django performance code review. Use when asked to "review Django performance", "find N+1 queries", "optimize Django", "check queryset performance", "database performance", "Django ORM issues", or audit Django code for performance problems.
system-info
UKGovernmentBEIS
Get detailed system information including OS, kernel, CPU, and memory details
aar
neurofoo
After-Action Review—structured debrief asking what was expected, what happened, why the difference, and what next. Use after projects, launches, presentations, or any significant event.
incident-response
Ed1s0nZ
安全事件响应的专业技能和方法论
agent-memory
TerminalSkills
Add persistent memory to AI coding agents — file-based, vector, and semantic search memory systems that survive between sessions. Use when a user asks to "remember this", "add memory to my agent", "persist context between sessions", "build a knowledge base for my agent", "set up agent memory", or "make my AI remember things". Covers file-based memory (MEMORY.md), SQLite with embeddings, vector databases (ChromaDB, Pinecone), semantic search, memory consolidation, and automatic context injection.
react-best-practices
henkisdabro
Comprehensive React and Next.js performance optimisation guide with 40+ rules for eliminating waterfalls, optimising bundles, and improving rendering. Use when optimising React apps, reviewing performance, or refactoring components.
Code Cleanup Skill
pipecat-ai
Pattern checks follow recent Pipecat code
performance-profiling
HeshamFS
Identify computational bottlenecks, analyze scaling behavior, estimate memory requirements, and receive optimization recommendations for any computational simulation. Use when simulations are slow, investigating parallel efficiency, planning resource allocation, or seeking performance improvements through timing analysis, scaling studies, memory profiling, or bottleneck detection.
slurm-job-script-generator
HeshamFS
Generate SLURM sbatch job scripts and sanity-check HPC resource requests (nodes, tasks, CPUs, memory, GPUs) for simulation runs. Use when preparing submission scripts, deciding MPI vs MPI+OpenMP layouts, standardizing #SBATCH directives, or debugging job launch configuration (sbatch/srun).
market-mechanics-betting
lyndonkl
Use to convert probabilities into decisions (bet/pass/hedge) and optimize scoring. Invoke when need to calculate edge, size bets optimally (Kelly Criterion), extremize aggregated forecasts, or improve Brier scores. Use when user mentions betting strategy, Kelly, edge calculation, Brier score, extremizing, or translating belief into action.
dbs-benchmark
dontbesilent2025
dontbesilent 对标分析。用五重过滤法帮你找到值得模仿的对标，排除一切关于「我」的噪音。 触发方式：/dbs-benchmark、/对标、「帮我找对标」「我该模仿谁」 Benchmark analysis using dontbesilent's five-filter method. Trigger: /dbs-benchmark, "find me a benchmark", "who should I copy"
3dsmax-rendering
TerminalSkills
Configure and optimize rendering in 3ds Max — V-Ray and Corona render settings, render elements, light mix, batch rendering, network rendering, denoising, and post-production workflows. Use when tasks involve setting up production renders, optimizing render times, batch rendering multiple views, or configuring render farms for archviz and product visualization.
dbs-diagnosis
dontbesilent2025
dontbesilent 商业模式诊断。两种模式：问诊（消解你的问题）和体检（拆解你的商业模式）。 触发方式：/dbs-diagnosis、/问诊、「帮我看看商业模式」「诊断一下我的业务」「我有个商业问题」 Business model diagnosis using dontbesilent's ontological framework. Two modes: consultation (dissolve your question) and checkup (analyze your business model). Trigger: /dbs-diagnosis, "diagnose my business model", "I have a business question"
wp-performance
WordPress
"Use when investigating or improving WordPress performance (backend-only agent): profiling and measurement (WP-CLI profile/doctor, Server-Timing, Query Monitor via REST headers), database/query optimization, autoloaded options, object caching, cron, HTTP API calls, and safe verification."
dotnet-tooling
novotnyllc
Manages .NET SDK installation (dotnet-install, workloads), project setup (.slnx, Directory.Build.props, CPM), MSBuild authoring, build optimization, performance (Span, ArrayPool, stackalloc), profiling (dotnet-counters, dotnet-trace), Native AOT/trimming, GC tuning, CLI apps (System.CommandLine, Spectre.Console, Terminal.Gui), ILSpy decompilation, VS Code debug config (launch.json, coreclr, remote), C# LSP (csharp-ls, OmniSharp), and version detection/upgrade. Spans 34 topic areas. Do not use for UI implementation or API security design.
rust-binary-size
ccusage
Guides Rust binary size reduction for ccusage. Use when changing the rust/Cargo.toml release profile, dependency features, native packaging size, or investigating executable bloat with cargo bloat.
model-selection
majiayu000
Automatically applies when choosing LLM models and providers. Ensures proper model comparison, provider selection, cost optimization, fallback patterns, and multi-model strategies.
reddit-ads
kostja94
When the user wants to set up, optimize, or manage Reddit Ads. Also use when the user mentions "Reddit Ads," "Promoted Posts," "subreddit targeting," "Reddit advertising," or "Reddit communities."
referral-program
kostja94
When the user wants to plan, implement, or optimize referral program strategy. Also use when the user mentions "referral program," "referral marketing," "user referral," "refer-a-friend," "word-of-mouth growth," "referral rewards," "referral tracking," "referral code," "referral incentives," or "viral loop."