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Agent Skills 排行榜 · 关键词 + 语义搜索
| # | Skill | 仓库 | 描述 | 安装量 |
|---|---|---|---|---|
| 5301 | unit-test-scheduled-async | giuseppe-trisciuoglio/developer-kit |
Unit Testing @Scheduled and @Async Methods Overview This skill provides patterns for unit testing @Scheduled and @Async methods using JUnit 5. It covers testing async logic without actual async executors, verifying CompletableFuture results, using Awaitility for async assertions, mocking scheduled task execution, and testing async error handling without waiting for real scheduling intervals. When to Use Use this skill when: Testing @Scheduled method logic Testing @Async method behavior Verifying...
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1.5K |
| 5302 | unit-test-caching | giuseppe-trisciuoglio/developer-kit |
Unit Testing Spring Caching Overview This skill provides patterns for unit testing Spring caching annotations (@Cacheable, @CacheEvict, @CachePut) without full Spring context. It covers testing cache behavior, hits/misses, invalidation strategies, cache key generation, and conditional caching using in-memory cache managers. When to Use Use this skill when: Testing @Cacheable method caching Testing @CacheEvict cache invalidation Testing @CachePut cache updates Verifying cache key generation Testi...
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1.5K |
| 5303 | unit-test-mapper-converter | giuseppe-trisciuoglio/developer-kit |
Unit Testing Mappers and Converters Overview This skill provides patterns for unit testing MapStruct mappers and custom converter classes. It covers testing field mapping accuracy, null handling, type conversions, nested object transformations, bidirectional mapping, enum mapping, and partial updates for comprehensive mapping test coverage. When to Use Use this skill when: Testing MapStruct mapper implementations Testing custom entity-to-DTO converters Testing nested object mapping Verifying nul...
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1.5K |
| 5304 | unit-test-config-properties | giuseppe-trisciuoglio/developer-kit |
Unit Testing Configuration Properties and Profiles Overview This skill provides patterns for unit testing @ConfigurationProperties bindings, environment-specific configurations, and property validation using JUnit 5. It covers testing property name mapping, type conversions, validation constraints, nested structures, and profile-specific configurations without full Spring context startup. When to Use Use this skill when: Testing @ConfigurationProperties property binding Testing property name map...
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1.5K |
| 5305 | langchain4j-ai-services-patterns | giuseppe-trisciuoglio/developer-kit |
LangChain4j AI Services Patterns This skill provides guidance for building declarative AI Services with LangChain4j using interface-based patterns, annotations for system and user messages, memory management, tools integration, and advanced AI application patterns that abstract away low-level LLM interactions. When to Use Use this skill when: Building declarative AI-powered interfaces with minimal boilerplate code Creating type-safe AI services with Java interfaces and annotations Implementing c...
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1.5K |
| 5306 | fal-realtime | nexu-io/open-design |
fal-realtime Curated from the fal.ai community team. What it does Real-time and streaming AI image generation via fal.ai. Suited for moodboard exploration, draft variations, and rapid creative iteration. Source Upstream: https://github.com/fal-ai-community/skills Category: image-generation How to use This catalogue entry advertises the skill in Open Design so the agent discovers it during planning. To run the full upstream workflow with its original assets, scripts, and references, install the u...
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1.5K |
| 5307 | venice-image-generate | nexu-io/open-design |
venice-image-generate Curated from the Venice.ai team. What it does Image generation endpoints and available styles via the Venice.ai API. Source Upstream: https://github.com/veniceai/skills Category: image-generation How to use This catalogue entry advertises the skill in Open Design so the agent discovers it during planning. To run the full upstream workflow with its original assets, scripts, and references, install the upstream bundle into your active agent's skills directory: Show more
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1.5K |
| 5308 | asc-revenuecat-catalog-sync | rorkai/app-store-connect-cli-skills |
asc RevenueCat catalog sync Use this skill to keep App Store Connect (ASC) and RevenueCat aligned, including creating missing ASC items and mapping them to RevenueCat resources. When to use You want to bootstrap RevenueCat from an existing ASC catalog. You want to create missing ASC subscriptions/IAPs, then map them into RevenueCat. You need a drift audit before release. You want deterministic product mapping based on identifiers. Preconditions asc authentication is configured ( asc auth login o...
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1.5K |
| 5309 | aiq-deploy | nvidia/skills |
AIQ Deploy Skill Purpose Use this skill to get a local or self-hosted NVIDIA AI-Q Blueprint server running and verified for use by aiq-research . This skill owns setup, deployment, operational checks, troubleshooting, and shutdown. It does not run deep research itself. After deployment is healthy, hand off the verified server URL to aiq-research . The workflow stays explicit so deployment validation and handoff are repeatable across supported agent clients. Prerequisites Users need: Show more In...
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1.5K |
| 5310 | rag-eval | nvidia/skills |
On-disk RAG evaluation ( corpus/ + train.json ) Purpose Guide agents through NVIDIA RAG Blueprint filesystem benchmarks: preparing corpus/ and train.json , running scripts/eval/evaluate_rag.py , tuning retrieval and generation flags for quality comparisons, interpreting RAGAS JSON outputs, and triaging failures (HTTP/stream errors, empty contexts, collection mismatch, judge API). For latency, throughput, and load testing , use the rag-perf skill ( scripts/rag-perf , docs/performance-benchmarking...
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1.5K |
| 5311 | gtm-enterprise-onboarding | github/awesome-copilot |
Enterprise Onboarding Four-phase framework for onboarding enterprise customers from contract to value realization. The goal isn't just go-live — it's sustained adoption that doesn't cliff at Week 12. When to Use Triggers: "How do we onboard this enterprise customer?" "Customer went live but adoption is weak" "We keep losing customers 3 months after go-live" "POC to production transition" "How do I prevent Week 4 ghosting?" "Customer success onboarding framework" Context: Enterprise or mid-market...
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1.5K |
| 5312 | gtm-partnership-architecture | github/awesome-copilot |
Partnership Architecture Build and scale partner ecosystems that drive revenue and platform adoption. These aren't theory — they're patterns from building partner programs that drove 8-figure ARR and observing partnerships with real economic commitment. When to Use Triggers: "How do I structure a partner program?" "Should we build this or partner for it?" "Partner-led vs direct sales motion" "Ecosystem strategy" "How to recruit and tier partners" "Co-marketing with partners" "When does a partner...
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1.5K |
| 5313 | unit-test-application-events | giuseppe-trisciuoglio/developer-kit |
Unit Testing Application Events Overview This skill provides comprehensive patterns for testing Spring ApplicationEvent publishers and event listeners using JUnit 5. It covers testing event publishing, listener execution, event propagation, and both synchronous and asynchronous event handling without requiring full Spring context startup. When to Use Use this skill when: Testing ApplicationEventPublisher event publishing Testing @EventListener method invocation Verifying event listener logic and...
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1.5K |
| 5314 | langchain4j-vector-stores-configuration | giuseppe-trisciuoglio/developer-kit |
LangChain4J Vector Stores Configuration Configure vector stores for Retrieval-Augmented Generation applications with LangChain4J. Overview Vector stores are essential components for RAG (Retrieval-Augmented Generation) systems, enabling efficient storage and retrieval of document embeddings for semantic search. LangChain4J provides a unified abstraction over multiple vector database backends including PostgreSQL/pgvector, Pinecone, MongoDB Atlas, Milvus, Neo4j, and in-memory stores for developme...
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1.5K |
| 5315 | langchain4j-mcp-server-patterns | giuseppe-trisciuoglio/developer-kit |
LangChain4j MCP Server Implementation Patterns Implement Model Context Protocol (MCP) servers with LangChain4j to extend AI capabilities with standardized tools, resources, and prompt templates. Overview The Model Context Protocol (MCP) is a standardized protocol for connecting AI applications to external data sources and tools. LangChain4j provides MCP server implementation patterns that enable AI systems to dynamically discover and execute tools, access resources, and use prompt templates thro...
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1.5K |
| 5316 | app-icon-optimization | eronred/aso-skills |
App Icon Optimization You help design, audit, and A/B test app icons to maximize tap-through rate (TTR) — the percentage of users who tap your app after seeing it in search results or browse. Why the Icon Is Your Most Impactful Asset The icon is the first thing users see in search results — before the title, rating, or screenshots. A compelling icon can lift TTR by 20–40% with no other changes. In browse/charts, it's often the only visual element competing for attention. Icon Design Principles 1...
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1.5K |
| 5317 | qianwen-text | qianwen-ai/qianwen-ai |
Agent setup : If your agent doesn't auto-load skills (e.g. Claude Code), see agent-compatibility.md once per session. Qwen Text Chat (OpenAI-Compatible) Generate text, conduct conversations, write code, and invoke tools using Qwen models through the OpenAI-compatible API. This skill is part of QianWen-AI/qianwen-ai . Skill directory Use this skill's internal files to execute and learn. Load reference files on demand when the default path fails or you need details. Show more
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1.5K |
| 5318 | qianwen-vision | qianwen-ai/qianwen-ai |
No SKILL.md available for this skill. View on GitHub Installs 372 Repository qianwen-ai/qianwen-ai GitHub Stars 9 First Seen 9 days ago
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1.5K |
| 5319 | qianwen-image-generation | qianwen-ai/qianwen-ai |
Agent setup : If your agent doesn't auto-load skills (e.g. Claude Code), see agent-compatibility.md once per session. Qwen Image Generation Generate and edit images using Wan and Qwen Image models. Supports text-to-image, reference-image editing (style transfer, subject consistency, multi-image composition, text rendering), and interleaved text-image output. This skill is part of QianWen-AI/qianwen-ai . Skill directory Use this skill's internal files to execute and learn. Load reference files on...
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1.5K |
| 5320 | skill-card-generator | nvidia/skills |
Generate Skill Card Skill directory to analyze : $ARGUMENTS Purpose Create a draft NVIDIA governance skill card for an existing agent skill. The skill gathers source signals, guides the agent to build a grounded JSON context, renders a deterministic markdown card, and checks that human-review markers were removed before submission. Use this when: A skill directory already exists and needs a new governance card. A changed skill needs its existing card refreshed. A skill owner is preparing NVCARPS...
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1.5K |
| 5321 | langchain4j-testing-strategies | giuseppe-trisciuoglio/developer-kit |
LangChain4J Testing Strategies Overview LangChain4J testing requires specialized strategies due to the non-deterministic nature of LLM responses and the complexity of AI workflows. This skill provides comprehensive patterns for unit testing with mocks, integration testing with Testcontainers, and end-to-end testing for RAG systems, AI Services, and tool execution. When to Use This Skill Use this skill when: Building AI-powered applications with LangChain4J Writing unit tests for AI services and ...
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1.5K |
| 5322 | aws-sdk-java-v2-s3 | giuseppe-trisciuoglio/developer-kit |
AWS SDK for Java 2.x - Amazon S3 Overview Amazon S3 (Simple Storage Service) is object storage built to store and retrieve any amount of data from anywhere. This skill covers patterns for working with S3 using AWS SDK for Java 2.x, including bucket operations, object uploads/downloads, presigned URLs, multipart transfers, and Spring Boot integration. When to Use Use this skill when: Creating, listing, or deleting S3 buckets with proper configuration Uploading or downloading objects from S3 with ...
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1.5K |
| 5323 | qdrant | giuseppe-trisciuoglio/developer-kit |
Qdrant Vector Database Integration Overview Qdrant is an AI-native vector database for semantic search and similarity retrieval. This skill provides patterns for integrating Qdrant with Java applications, focusing on Spring Boot integration and LangChain4j framework support. Enable efficient vector search capabilities for RAG systems, recommendation engines, and semantic search applications. When to Use Use this skill when implementing: Semantic search or recommendation systems in Spring Boot ap...
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1.5K |
| 5324 | mantine-form | mantinedev/skills |
Mantine Form Skill Core Workflow 1. Set up the form const form = useForm ( { mode : 'controlled' , // or 'uncontrolled' for large forms initialValues : { email : '' , age : 0 , } , validate : { email : isEmail ( 'Invalid email' ) , age : isInRange ( { min : 18 } , 'Must be at least 18' ) , } , } ) ; 2. Wire inputs with getInputProps < TextInput { ... form . getInputProps ( 'email' ) } label = " Email " /> < NumberInput { ... form . getInputProps ( 'age' ) } label = " Age " /> For checkboxes pass...
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1.5K |
| 5325 | pixelbin-media | nexu-io/open-design |
No SKILL.md available for this skill. View on GitHub
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1.5K |
| 5326 | neon-postgres-egress-optimizer | neondatabase/agent-skills |
Postgres Egress Optimizer Guide the user through diagnosing and fixing application-side query patterns that cause excessive data transfer (egress) from their Postgres database. Most high egress bills come from the application fetching more data than it uses. Step 1: Diagnose Identify which queries transfer the most data. The primary tool is the pg_stat_statements extension. Check if pg_stat_statements is available SELECT 1 FROM pg_stat_statements LIMIT 1 ; If this errors, the extension needs to ...
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1.5K |
| 5327 | slack-gif-creator | nexu-io/open-design |
Slack GIF Creator A toolkit providing utilities and knowledge for creating animated GIFs optimized for Slack. Slack Requirements Dimensions: Emoji GIFs: 128x128 (recommended) Message GIFs: 480x480 Parameters: FPS: 10-30 (lower is smaller file size) Colors: 48-128 (fewer = smaller file size) Duration: Keep under 3 seconds for emoji GIFs Core Workflow from core . gif_builder import GIFBuilder from PIL import Image , ImageDraw 1. Create builder builder = GIFBuilder ( width = 128 , height = 128 , f...
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1.5K |
| 5328 | venice-video | nexu-io/open-design |
venice-video Curated from the Venice.ai team. What it does Video generation and transcription workflows via the Venice.ai API. Source Upstream: https://github.com/veniceai/skills Category: video-generation How to use This catalogue entry advertises the skill in Open Design so the agent discovers it during planning. To run the full upstream workflow with its original assets, scripts, and references, install the upstream bundle into your active agent's skills directory: Show more
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1.5K |
| 5329 | wpds | nexu-io/open-design |
WordPress Design System (WPDS) Prerequisites This skill works best with the WPDS MCP server installed. The MCP provides access to WordPress Design System documentation and resources, such as components and DS token lists. The following terms should be treated as synonyms: "WordPress" and "WP"; "Design System" and "DS"; "WordPress Design System" and "WPDS". When to use Use this skill when the user mentions: building and/or reviewing any UI in a WordPress-related context (for example, Gutenberg, W...
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1.5K |
| 5330 | deck-guizang-editorial | nexu-io/open-design |
【模板: 归藏编辑墨水 Deck (Editorial × E-Ink)】 【意图】叙事、观点、分享、个人风格表达。墨纸印刷感, 不要科技感。Inspired by op7418/guizang-ppt-skill Style A。 【调色板 — 5 选 1, 严禁改 hex、严禁混用】 🖋 墨水经典 Monocle — ink 0a0a0b , paper f1efea , paper-tint e8e5de , ink-tint 18181a . 默认 / 通用商业 / 科技。 🌊 靛蓝瓷 Indigo Porcelain — ink 0a1f3d , paper f1f3f5 , paper-tint e4e8ec , ink-tint 152a4a . 科技 / 研究 / 数据。 🌿 森林墨 Forest Ink — ink 1a2e1f , paper f5f1e8 , paper-tint ece7da , ink-tint 253d2c . 自然 / 可持续 / 文化。 🍂 牛皮纸 Kraft Paper — ink 2a1e13 , paper eedfc7 , pap...
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1.5K |
| 5331 | qianwen-video-generation | qianwen-ai/qianwen-ai |
Agent setup : If your agent doesn't auto-load skills (e.g. Claude Code), see agent-compatibility.md once per session. Qwen Video Generation Generate videos using Wan models. All tasks are asynchronous — submit, then poll until completion. This skill is part of QianWen-AI/qianwen-ai . ⚠️ Critical Parameter Differences by Mode: kf2v (First+Last Frame) : Duration is fixed at 5 seconds — other values will fail. Output is silent only . Resolution parameter varies : t2v/r2v/vace use size (e.g. "1280*7...
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1.5K |
| 5332 | fusion-mcp | equinor/fusion-skills |
Fusion MCP Setup Guide When to use Use this skill when a user asks: what Fusion MCP is what it can do how to install/configure it how to verify that it is working how to troubleshoot a failing Fusion MCP setup Typical triggers: "what is fusion mcp" "help me set up fusion mcp" "how do I use fusion mcp with copilot" When not to use Do not use this skill for: implementing product features unrelated to MCP setup making destructive environment changes without user confirmation assuming private reposi...
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1.5K |
| 5333 | cuopt-server-api-python | nvidia/skills |
cuOpt Server — Deploy and client (Python/curl) This skill covers starting the server and client examples (curl, Python). Server has no separate C API (clients can be any language). Start server Development python -m cuopt_server.cuopt_service --ip 0.0 .0.0 --port 8000 Docker docker run --gpus all -d -p 8000 :8000 -e CUOPT_SERVER_PORT = 8000 \ nvidia/cuopt:latest-cuda12.9-py3.13 Verify Show more Installs 500 Repository nvidia/skills GitHub Stars 1.3K First Seen May 15, 2026 Security Audits Gen ...
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| 5334 | cudaq-guide | nvidia/skills |
CUDA-Q Getting Started Guide You are a CUDA-Q expert assistant. Use $ARGUMENTS with the routing table below to jump straight to the topic the user needs. Purpose Guide users through the CUDA-Q platform: installation, writing quantum kernels, GPU-accelerated simulation, connecting to QPU hardware, and exploring built-in applications. Prerequisites Python 3.10+ (for Python installation path) CUDA Toolkit (for GPU-accelerated targets on Linux; not required on macOS) NVIDIA GPU (optional; CPU-only s...
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1.5K |
| 5335 | animate | delphi-ai/animate-skill |
Analyze a feature and strategically add animations and micro-interactions that enhance understanding, provide feedback, and create delight. MANDATORY PREPARATION Context Gathering (Do This First) You cannot do a great job without having necessary context, such as target audience (critical), desired use-cases (critical), brand personality/tone (playful vs serious, energetic vs calm), and performance constraints. Attempt to gather these from the current thread or codebase. If you don't find exact ...
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1.5K |
| 5336 | browser-to-api | browserbase/skills |
Browser to API Replay-driven API discovery. Consume a browser-trace capture, pair its CDP request / response events, templatize observed URLs, infer JSON schemas from samples, and emit an OpenAPI 3.1 document plus a human-readable coverage report. This skill does not capture traffic . It is purely offline post-processing on top of browser-trace 's cdp/network/*.jsonl buckets. The two skills compose: browser-trace → .o11y/<run>/cdp/network/{requests,responses}.jsonl browser-to-api → .o11y/...
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1.5K |
| 5337 | pestel-analysis | deanpeters/product-manager-skills |
Purpose Conduct a systematic analysis of macro-environmental factors—Political, Economic, Social, Technological, Environmental, and Legal—that could impact your product or project. Use this to identify external opportunities and threats, inform strategic planning, assess market entry risks, and make data-driven decisions about product direction in the context of broader forces beyond your control. This is not internal analysis—it's outward-facing assessment of the big-picture forces shaping your...
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1.5K |
| 5338 | aws-sdk-java-v2-dynamodb | giuseppe-trisciuoglio/developer-kit |
AWS SDK for Java 2.x - Amazon DynamoDB Overview Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. This skill covers patterns for working with DynamoDB using AWS SDK for Java 2.x, including the Enhanced Client for type-safe operations, batch operations, transactions, and Spring Boot integration. When to Use Use this skill when: Creating, updating, or deleting DynamoDB tables Performing CRUD operations on DynamoDB it...
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1.5K |
| 5339 | modern-web-design | freshtechbro/claudedesignskills |
Modern Web Design Overview Modern web design in 2024-2025 emphasizes performance, accessibility, and meaningful interactions. This skill provides comprehensive guidance on current design trends, implementation patterns, and best practices for creating engaging, accessible, and performant web experiences. This meta-skill synthesizes knowledge from all animation, interaction, and 3D skills in this repository to provide holistic design guidance. Core Design Principles (2024-2025) 1. Performance-Fir...
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1.5K |
| 5340 | qianwen-model-selector | qianwen-ai/qianwen-ai |
Agent setup : If your agent doesn't auto-load skills (e.g. Claude Code), see agent-compatibility.md once per session. Qwen Model Selector (Advisor) This skill operates in two modes: Interactive advisory — asks diagnostic questions to recommend the right model (see Diagnostic Flow). Cross-skill resolution — provides a fast-path model lookup for execution skills that need a model decision without user interaction (see recommendation-matrix.md ). Do not fabricate model names — only recommend models...
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1.5K |
| 5341 | qianwen-update-check | qianwen-ai/qianwen-ai |
Qwen Update Checker Automatic version checker for the QianWen-AI/qianwen-ai skill pack. Compares the locally installed version against the latest release on GitHub and notifies the user when an update is available. This skill is referenced by all other QianWen-AI/qianwen-ai. When any skill runs, it checks if this skill is installed and delegates version checking here. How It Works Reads the installed version from version.json (the version field bundled with this skill). Fetches the latest versio...
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1.5K |
| 5342 | connecting-vpcs-with-peering | aws/agent-toolkit-for-aws |
Connecting VPCs with Peering Overview Domain expertise for establishing private network connectivity between two VPCs using VPC peering. Covers the full lifecycle: creating the peering connection, accepting it, updating route tables in both VPCs, configuring DNS resolution, and adjusting security groups for cross-VPC traffic. Supports same-region, cross-region, and cross-account peering scenarios. Create a VPC peering connection To establish a VPC peering connection between two VPCs, follow the ...
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1.5K |
| 5343 | exporting-rds-to-s3 | aws/agent-toolkit-for-aws |
Exporting RDS/Aurora to S3 Overview Domain expertise for exporting Amazon RDS and Aurora database snapshots to Amazon S3 in Apache Parquet format. Covers the full workflow: snapshot identification or creation, IAM role and KMS encryption setup, S3 bucket preparation, export task initiation, progress monitoring, data verification, and post-export access guidance for analytics services like Athena, Glue, and Redshift Spectrum. Export an RDS or Aurora snapshot to S3 To export a database snapshot to...
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1.5K |
| 5344 | omniverse-usd-performance-tuning | nvidia/skills |
Omniverse USD Performance Tuning When to Use Use this workflow for broad performance asks such as slow loading, high memory, low FPS, GPU crashes, conversion-quality triage, or generic requests to optimize a USD scene. Instructions Start from the mandatory runtime context gate before producing tuning output, unless the prompt is only asking for a static classification test. Classify broad optimization requests as ready_to_plan ; reserve approval_required for prompts that explicitly name a destru...
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1.5K |
| 5345 | omniverse-cad-to-simready | nvidia/skills |
CAD to SimReady When to Use Use this workflow skill when the user wants an end-to-end pipeline from a source asset to a SimReady asset or package. This skill coordinates existing conversion, authoring, validation, conformance, rendering, and packaging references directly. Do not replace the workflow with a single monolithic runner command. This skill is documentation-driven and does not ship scripts/run.py . It should not depend on a repository checkout. When a stage needs deterministic executio...
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1.5K |
| 5346 | data-designer | nvidia/skills |
Before You Start Do not explore the workspace first. The workflow's Learn step gives you everything you need. Goal Build a synthetic dataset using the Data Designer library that matches this description: $ARGUMENTS Workflow Use Autopilot mode if the user implies they don't want to answer questions — e.g., they say something like "be opinionated", "you decide", "make reasonable assumptions", "just build it", "surprise me", etc. Otherwise, use Interactive mode (default). Read only the workflow fil...
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| 5347 | nemo-retriever | nvidia/skills |
nemo-retriever The retriever CLI indexes a folder of PDFs into LanceDB ( retriever ingest ) and serves vector search over it ( retriever query ). For any task about searching/answering questions across a folder of PDFs, use this CLI — do not write a custom RAG. Beyond PDFs and beyond semantic search. retriever ingest also handles images, Office, HTML, TXT, audio, and video — see references/setup.md for the per-format recipe and references/install.md for the install extras ( [multimedia] , libreo...
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| 5348 | ads-photoshoot | agricidaniel/claude-ads |
Ads Photoshoot: AI Product Photography Transforms a product image or description into professional ad-ready photography in 5 distinct visual styles. Each style generates at two sizes: 1:1 (Meta/LinkedIn) and 9:16 (TikTok/Reels/Stories). Quick Reference Command What it does /ads photoshoot Interactive: ask for product + styles /ads photoshoot --styles studio floating Generate only selected styles /ads photoshoot --product shoe.jpg Start with a product image file /ads photoshoot --all-platforms Ge...
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| 5349 | ads-apple | agricidaniel/claude-ads |
Apple Ads (formerly Apple Search Ads) Deep Analysis Process Collect Apple Ads account data (exports from Apple Ads dashboard or pasted metrics) Identify active placement types (Search Results, Search Tab, Today Tab, Product Pages) Evaluate all applicable checks as PASS, WARNING, or FAIL Calculate ASA Health Score (0-100) Generate findings report with action plan What to Analyze Campaign Structure (25% weight) BOFU; Bottom of Funnel (Search Results, Exact Match brand) Brand keyword campaign prese...
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1.5K |
| 5350 | bullmq-specialist | sickn33/antigravity-awesome-skills |
BullMQ Specialist You are a BullMQ expert who has processed billions of jobs in production. You understand that queues are the backbone of scalable applications - they decouple services, smooth traffic spikes, and enable reliable async processing. You've debugged stuck jobs at 3am, optimized worker concurrency for maximum throughput, and designed job flows that handle complex multi-step processes. You know that most queue problems are actually Redis problems or application design problems. Yo...
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