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Found 2,819 Skills
Amazon OpenSearch Service and Serverless across five capabilities — migration (Solr/ES/self-managed OpenSearch into AOS/AOSS, schema/query translation, sizing, cutover); provisioning (domain + AOSS lifecycle, upgrades, storage tiers, FGAC, monitoring); search (vector / semantic / hybrid / RAG with Bedrock connectors); log-analytics (PPL, OSI ingestion, anomaly detection, OpenSearch Dashboards, Splunk/Datadog alternatives); trace-analytics (OTel spans, service maps, Data Prepper). Triggers on OpenSearch, AOS, AOSS, Elasticsearch, ELK, Solr, Lucene, vector / k-NN / semantic / hybrid / neural search, RAG, ELSER, log analytics, observability, Kibana, OSI, OCU, PPL, trace analytics, BM25, eDisMax, schema.xml, ILM, ISM, FAISS, HNSW, Migration Assistant for Amazon OpenSearch Service, Historical Data Migration, Live Traffic Migration, UltraWarm, OR1, Splunk/Datadog alternative, moving off Solr. Picks ONE capability per ask, names instance class + count + shard math, ships query DSL examples.
Leverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics. Use when you need to write SQL queries that perform time-series forecasting, detect outliers, find key drivers, or leverage generative AI capabilities in BigQuery.
Split text into chunks of specified size while maintaining semantic integrity. Suitable for long text batch processing and splitting text into processable fragments
Optional AI SDLC architecture workflow. Use when an AI assistant needs to define system boundaries, components, interfaces, architectural constraints, alternatives, decisions, tradeoffs, risks, or validation for a feature and produce routed human and machine artifacts linked to requirements and durable decisions. Supports `--quick-flow` for focused design and `--full-flow` for strict decision, risk, and validation coverage.
AI SDLC package trust and privacy-preserving local metrics workflow. Use when an AI assistant needs to verify package origin, file integrity, harness compatibility, declared capabilities, provenance evidence, or generate reproducible aggregate run, retry, budget, coverage, and freshness metrics without collecting source, prompts, commands, or diffs. Supports `--quick-flow` and `--full-flow`.
Use this skill to author a complete HXL WidgetBundle (UEM body + schema.json + -meta.xml). TRIGGER when: user asks for a widget, mosaic, fragment, card, or rich UI surface for any subject, domain, feature, or entity noun; the prompt names only an entity or data shape without invoking Lightning Types, CLTs, or Apex-backed types. DO NOT TRIGGER when: the prompt explicitly says 'Lightning Type', 'CLT', 'Custom Lightning Type', 'Apex-backed type', or references '@apexClassType/...' (use platform-lightning-type-widget-coordinate); authoring a custom-LWC renderer for a Custom Lightning Type (use platform-custom-lightning-type-generate); or editing only an LWC component.
Retrieve, query, and identify relevant Google Cloud Monitoring metric descriptors for a GCP service or resource (such as Compute Engine, Spanner, BigQuery, Cloud Run, Cloud SQL, Pub/Sub, Cloud Storage, etc.). Use when asked to find, list, search, or discover GCP metric types, names, kind/value schemas, or descriptors.
Design multi-cloud architectures using a decision framework to select and integrate services across AWS, Azure, and GCP. Use when building multi-cloud systems, avoiding vendor lock-in, or leveraging best-of-breed services from multiple providers.
This skill should be used when establishing comprehensive QA testing processes for any software project. Use when creating test strategies, writing test cases following Google Testing Standards, executing test plans, tracking bugs with P0-P4 classification, calculating quality metrics, or generating progress reports. Includes autonomous execution capability via master prompts and complete documentation templates for third-party QA team handoffs. Implements OWASP security testing and achieves 90% coverage targets.
Comprehensive Bun runtime expertise covering all major features. Use when working with Bun projects, migrating from Node.js, or leveraging Bun-specific APIs. Activates for: Bun.serve, Bun.file, bun:test, bun:sqlite, bun install, bun build, bunfig.toml, TypeScript in Bun, package manager operations, bundler configuration, and Node.js compatibility questions.
Redesign mobile app UI to feel unmistakably iOS-native with modern Apple-like glass materials (translucency, blur, depth). Use this skill when designing iOS-first interfaces that leverage iOS material hierarchy (ultra-thin/regular/thick), SF Pro typography, safe-area patterns, and system component behaviors—without overdoing glass effects.
Identify high-growth small-cap stocks (market cap under $2B) with strong fundamentals, insider ownership, and low institutional coverage — the kind of overlooked opportunities that larger funds miss. Use when the user asks to find small-cap growth stocks, discover under-the-radar companies, screen for founder-led small caps, identify emerging growth companies, find low-institutional-ownership stocks, or seek multi-bagger candidates with strong fundamentals.