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Found 1,927 Skills
Generates sustainability-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a workload, identify environmental impact requirements, and provide actionable recommendations to build, deploy, and manage the workload sustainably in Google Cloud.
SEO and discoverability review: evaluate meta tags, structured data, Open Graph, crawlability, sitemap, robots.txt, semantic HTML, and social sharing with browser-based validation.
Privacy review and testing: evaluate PII handling, data flows, tracking inventory, consent mechanisms, storage practices, and data leakage risks with browser-based validation against GDPR, CCPA, and industry best practices.
Deploy open models or custom weights from Model Garden to Agent Platform endpoints, check deployment status, verify serving endpoints, or clean up resources by undeploying models and deleting endpoints. Use when asked to deploy models on Agent Platform, list available Model Garden models, check if a model is deployable, query deployment cost, troubleshoot deployment errors (like quota limits), or undeploy/clean up endpoints. Also use when copying and deploying a 1P Tuned Model. Don't use for public Vertex AI deployments (use the `vertex-deploy` skill) or for running model evaluations (use the `agent-platform-eval` skill).
Build or audit Amazon Sponsored Products campaigns, and layer dayparting on mature accounts. Mode A builds a campaign structure from scratch with keyword groups, match types, and starting bids from product margins. Mode B audits existing campaigns from a search term report and returns bid changes, negatives, and a graduation plan. An advanced dayparting appendix schedules bids and budgets by hour and day for accounts with enough data. Use when a user asks to build PPC campaigns, structure Sponsored Products, set ad bids, audit a campaign, fix ACoS, plan an auto and exact campaign structure, or dayparting, bid scheduling, ad scheduling by time of day, peak shopping hours, or wasted ad spend at low hours. Trigger phrases. "PPC campaign", "sponsored products", "campaign structure", "set bids", "audit my ads", "fix my ACoS", "auto and exact campaigns", "dayparting", "bid scheduling", "ad schedule", "time of day bidding", "peak hours", "budget by hour". Works with zero tools. the user provides margins, keywords, or a search term report.
Plan Amazon wholesale sourcing. finding suppliers and brands to resell, opening wholesale accounts, negotiating terms and minimum order quantities, and checking that a wholesale deal is actually profitable and not gated. Use when a user asks about wholesale sourcing, finding suppliers, reselling brands, opening wholesale accounts, negotiating with distributors, or evaluating a wholesale product. Trigger phrases: "wholesale", "wholesale sourcing", "find suppliers", "resell brands", "distributor", "wholesale account", "MOQ negotiation". Works with zero tools.
Comprehensive software architecture skill for designing scalable, maintainable systems using ReactJS, NextJS, NodeJS, Express, React Native, Swift, Kotlin, Flutter, Postgres, GraphQL, Go, Python. Includes architecture diagram generation, system design patterns, tech stack decision frameworks, and dependency analysis. Use when designing system architecture, making technical decisions, creating architecture diagrams, evaluating trade-offs, or defining integration patterns.
Package entire code repositories into single AI-friendly files using Repomix. Capabilities include pack codebases with customizable include/exclude patterns, generate multiple output formats (XML, Markdown, plain text), preserve file structure and context, optimize for AI consumption with token counting, filter by file types and directories, add custom headers and summaries. Use when packaging codebases for AI analysis, creating repository snapshots for LLM context, analyzing third-party libraries, preparing for security audits, generating documentation context, or evaluating unfamiliar codebases.
Analyzes events through cybersecurity lens using threat modeling, attack surface analysis, defense-in-depth, zero-trust architecture, and risk-based frameworks (CIA triad, STRIDE, MITRE ATT&CK). Provides insights on vulnerabilities, attack vectors, defense strategies, incident response, and security posture. Use when: Security incidents, vulnerability assessments, threat analysis, security architecture, compliance. Evaluates: Confidentiality, integrity, availability, threat actors, attack patterns, controls, residual risk.
Evaluate test suite quality by introducing code mutations and verifying tests catch them. Use for mutation testing, test quality, mutant detection, Stryker, PITest, and test effectiveness analysis.
Technical leadership guidance for engineering teams, architecture decisions, and technology strategy. Includes tech debt analyzer, team scaling calculator, engineering metrics frameworks, technology evaluation tools, and ADR templates. Use when assessing technical debt, scaling engineering teams, evaluating technologies, making architecture decisions, establishing engineering metrics, or when user mentions CTO, tech debt, technical debt, team scaling, architecture decisions, technology evaluation, engineering metrics, DORA metrics, or technology strategy.
Military-style Situation Report (SITREP) generation for multi-agent coordination. Creates structured status updates with completed/in-progress/blocked sections, authorization codes, handoff protocols, and clear next actions. Optimized for complex project management across multiple AI agents and human operators.