Query, audit, and optimize Google Ads campaigns. Supports two modes: (1) API mode for bulk operations with the google-ads Python SDK, (2) attached-browser mode for users without API access. Use when asked to check ad performance, pause campaigns or keywords, find wasted spend, audit conversion tracking, or optimize Google Ads accounts.

Curated trending GitHub repos — clustered, filtered, and labeled by momentum

Faithful implementation of the PaperWritingBench dataset construction

Structured approach to improving performance through focused effort, feedback, and

Investigate the intended scope of a codebase topic through discussion with a human, propose a research-note outline, and only create a .memory-bank/research file after explicit human confirmation.

Trigger Pattern Always required for Soroban audits - Inject Into Breadth agents, depth-edge-case

Advanced AWS CLI patterns for speed, precision, and security-first automation. Covers JMESPath queries, bulk operations, waiters, cross-account access, and destructive operation safety.

Patterns for creating high-performance AWS Lambda functions in Java with optimized cold starts.

Expert skill for building high-performance native executables from Java applications using GraalVM Native Image, dramatically reducing startup time and memory consumption.

Provides integration patterns for LangChain4j with Spring Boot. Configures AI model beans, sets up chat memory with Spring context, integrates RAG pipelines with Spring Data, and handles auto-configuration, dependency injection, and Spring ecosystem integration. Use when embedding LangChain4j into Spring Boot applications, building Java LLM applications with @Bean configuration, or setting up Spring AI patterns.

Provides configuration patterns for LangChain4J vector stores in RAG applications. Use when building semantic search, integrating vector databases (PostgreSQL/pgvector, Pinecone, MongoDB, Milvus, Neo4j), implementing embedding storage/retrieval, setting up hybrid search, or optimizing vector database performance for production AI applications.

Patterns for creating high-performance AWS Lambda functions in Python with optimized cold starts and clean architecture.

Patterns for creating high-performance AWS Lambda functions in TypeScript with optimized cold starts.

Expert Next.js performance optimization skill covering Core Web Vitals, image/font optimization, caching strategies, streaming, bundle optimization, and Server Components best practices. Use when optimizing Next.js applications for Core Web Vitals (LCP, INP, CLS), implementing next/image and next/font, configuring caching with unstable_cache and revalidateTag, converting Client Components to Server Components, implementing Suspense streaming, or analyzing and reducing bundle size. Supports Next.js 16 + React 19 patterns.

WorkIQ connects AI agents to Microsoft 365 Copilot, providing access to workplace intelligence grounded in organizational data, connected through Microsoft Graph, and personalized through memory and c

Convert raw Nanopore signal data (FAST5/POD5) to nucleotide sequences using Dorado basecaller. Covers model selection, GPU acceleration, modified base detection, and quality filtering. Use when processing raw Nanopore data before alignment. Note: Guppy is deprecated; use Dorado for all new analyses.

'Fetch trending AI/ML repositories from GitHub and store them in memory.

This Article Describes [Updated] Sweep Through Your Contacts with Speed and Skill

Optimize command outputs with RTK (Rust Token Killer) for 70% token reduction

Use kpf, a fast, idempotent drop-in replacement for kubectl port-forward that manages and reuses port-forward sessions. Use when a user needs repeatable Kubernetes port forwarding with quick startup.

Optimize BigQuery compute costs by assigning Dataform actions to slot reservations. USE FOR managing which models use reserved slots vs on-demand pricing, updating reservation assignments, or analyzing cost vs priority tradeoffs for data pipelines.

Use when building a thread-safe data persistence layer in Swift using actors with in-memory cache and file storage.

Provision a Hetzner CCX33 server, deploy the project, run JMH benchmarks, collect results, and destroy the server. Use ONLY when the user explicitly asks to run JMH benchmarks on a Hetzner server. Do NOT trigger for general benchmark requests or local benchmark runs.

Search and select a Claude Code skill in the terminal, then copy /skill to clipboard.

Analyze writing samples to create a comprehensive voice DNA profile. Use when the user wants to capture their unique writing voice, needs to create a voice profile for AI content, or is setting up a new writing system.

Detects performance bottlenecks in Godot projects including expensive _process functions, get_node() calls in loops, instantiations in _process, and provides optimization suggestions with Godot profiler integration

Automatically applies when choosing LLM models and providers. Ensures proper model comparison, provider selection, cost optimization, fallback patterns, and multi-model strategies.

Use when writing or editing a blog post optimized for AI citations — covers post structure, frontmatter patterns, content rules, schema requirements, and a pre-publish GEO checklist based on Princeton research.

Maintain .agent state files. Use at session start, after meaningful steps, and before concluding: read/update constitution/memory/focus/issues/baseline consistently.

Claude Code ecosystem expertise. Modules: CLI tool (setup, slash commands, MCP servers, hooks, plugins, CI/CD), extensibility (agents, skills, output styles creation), CLAUDE.md (project instructions, optimization). Actions: configure, troubleshoot, create, deploy, integrate, optimize Claude Code. Keywords: Claude Code, Anthropic, CLI tool, slash command, MCP server, Agent Skill, hook, plugin, CI/CD, enterprise, CLAUDE.md, agentic coding, agent, skill, output-style, SKILL.md, subagent, Task tool, project instructions, token optimization. Use when: learning Claude Code features, configuring settings, creating skills/agents/hooks, setting up MCP servers, troubleshooting issues, CI/CD integration, initializing or optimizing CLAUDE.md files.

Performance optimization guidelines for OneKey React/React Native applications. Use when optimizing app performance, fixing UI freezes/lag, reducing re-renders, handling concurrent operations, or analyzing performance bottlenecks. Triggers on performance, optimization, optimize, slow, lag, freeze, hang, jank, stutter, memory, leak, concurrent, batching, batch, memoization, memo, bridge, windowSize, contentVisibility, FlashList, re-render, fps, tti, bundle.

This skill analyzes the local DNA methylation profiles around target genomic regions provide by user. Use this skill when you want to vasulize the average methylation profile around target regions (e.g. TSS, CTCF peak or other target regions).

name: global-methylation-profile

This pipeline performs genome-wide segmentation of CpG methylation profiles to identify Unmethylated Regions (UMRs), Low-Methylated Regions (LMRs), and Partially Methylated Domains (PMDs) using whole-genome bisulfite sequencing (WGBS) methylation calls. The pipeline provides high-resolution enhancer-like LMRs, promoter-associated UMRs, and large-scale PMDs characteristic of reprogramming, aging, or cancer methylomes, enabling integration with chromatin accessibility, TF binding, and genome architecture analyses.

Three.js 3D building system with spatial indexing, structural physics, and multiplayer networking. Use when creating survival games, sandbox builders, or any game with player-constructed structures. Covers performance optimization (spatial hash grids, octrees, chunk loading), structural validation (arcade/heuristic/realistic physics modes), and multiplayer sync (delta compression, client prediction, conflict resolution).

Complete Three.js building system with spatial indexing, structural physics, and multiplayer networking. Use for survival/crafting games, sandbox games, multiplayer construction, or any 3D building mechanics.

3D web graphics with Three.js (WebGL/WebGPU). Capabilities: scenes, cameras, geometries, materials, lights, animations, model loading (GLTF/FBX), PBR materials, shadows, post-processing (bloom, SSAO, SSR), custom shaders, instancing, LOD, physics, VR/XR. Actions: create, build, animate, render 3D scenes/models. Keywords: Three.js, WebGL, WebGPU, 3D graphics, scene, camera, geometry, material, light, animation, GLTF, FBX, OrbitControls, PBR, shadow mapping, post-processing, bloom, SSAO, shader, instancing, LOD, WebXR, VR, AR, product configurator, data visualization, architectural walkthrough, interactive 3D, canvas. Use when: creating 3D visualizations, building WebGL/WebGPU apps, loading 3D models, adding animations, implementing VR/XR, creating interactive graphics, building product configurators.

Expert in building 3D experiences for the web - Three.js, React Three Fiber, Spline, WebGL, and interactive 3D scenes. Covers product configurators, 3D portfolios, immersive websites, and bringing depth to web experiences. Use when: 3D website, three.js, WebGL, react three fiber, 3D experience.

Create a reusable skill for evaluating fine-tuned models, benchmarking performance, and detecting quality regressions

[73] CLOSE. Record and maintain Lessons in MEMORY.md after a problem is solved or the user confirms success. Use when capturing a new lesson, moving lessons through the pipeline, or enhancing Project Architecture Quick Reference with new insights.

Status: ACTIVE

Track production app health and catch issues before users complain. Use after deploying, to check app status, or when investigating user reports. Covers error tracking, uptime monitoring, and metrics for non-technical founders.

- Create compelling offer or pitch

Elasticsearch DBA skill for index/mapping design, query tuning, cluster sizing and operations, shard/replica strategy, ILM, monitoring, troubleshooting (hot nodes, GC, rejected requests), and safe reindexing/upgrades. Use for tasks like designing search schemas, diagnosing performance issues, and operating ES in production.

9P2000 protocol implementation for .NET - connect to 9front/Plan9, serve files, CPU remote shell, authentication servers

π/τ-tier. Structure, navigation, closure (~500 tokens). Navigation between skills. Decimal: π.8.0. Load via: φ→π

Nginx ops skill for configuring and operating Nginx as reverse proxy, web server, and ingress layer. Use for tasks like writing safe nginx.conf/server blocks, TLS, HTTP/2, caching, rate limiting, load balancing, observability, and troubleshooting 4xx/5xx, timeouts, and performance issues.

System maintenance, memory queries, and pattern analysis. USE WHEN user mentions system, memory, patterns, history, past conversations, what did I, or meta-level system questions.

GPU VRAM management patterns for sharing memory across services (Ollama, Whisper, ComfyUI). OOM retry logic, auto-unload on idle, and service signaling protocol.

Decentralized Agent-to-Agent Autonomous Economy. Connects hardware and agents for distributed compute, hive memory access, and economic settlement.