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Found 1,140 Skills
Quickly generates 3-4 article topic directions with titles, outlines, and pros/cons analysis. Use when user saves a brief, requests topic suggestions, or needs article direction options. Provides evaluation of workload, testing needs, and target audience for each option.
After an agentic task completes, perform a retrospective analysis across 6 dimensions (goal alignment, efficiency, decision quality, error handling, communication, reusability). Score performance, identify inefficiency patterns, evaluate skill usage, and produce actionable improvement recommendations. Triggers on "how did it go", "retrospective", "review performance", "what could be better", or after any long agentic task completes.
Generate and evaluate marketing slogans for any product or service. Creates options across multiple angles, scores against criteria, and recommends the best fit.
Comprehensive analytics audit of website codebase to identify trackable elements and assess analytics readiness. Use when users want to "audit my analytics", "scan for trackable elements", "find what I can track", "analyze my website for tracking opportunities", or before implementing GTM tracking. Scans HTML/JSX/TSX/Vue for all clickable elements (buttons, links, forms, etc.), identifies existing tracking code, evaluates DOM structure for analytics, and provides recommendations. Acts as senior frontend engineer with GA4 expertise.
Evaluate acquisition channels using unit economics, customer quality, and scalability. Recommends scale/test/kill decisions.
Evaluate pricing changes using financial impact analysis - ARPU/ARPA, conversion, churn risk, NRR, and payback. Recommends go/no-go on pricing decisions.
Open-source AI observability platform for LLM tracing, evaluation, and monitoring. Use when debugging LLM applications with detailed traces, running evaluations on datasets, or monitoring production AI systems with real-time insights.
LLM observability platform for tracing, evaluation, and monitoring. Use when debugging LLM applications, evaluating model outputs against datasets, monitoring production systems, or building systematic testing pipelines for AI applications.
When the user faces brand impersonation, fake websites, phishing sites, or trademark infringement. Also use when the user mentions "fake site," "impersonation," "phishing site," "trademark infringement," "domain squatting," or "brand abuse."
MUST READ before running any ADK evaluation. ADK evaluation methodology — eval metrics, evalset schema, LLM-as-judge, tool trajectory scoring, and common failure causes. Use when evaluating agent quality, running adk eval, or debugging eval results. Do NOT use for API code patterns (use adk-cheatsheet), deployment (use adk-deploy-guide), or project scaffolding (use adk-scaffold).
A-share Value Investment Analysis Tool, providing stock screening, in-depth individual stock analysis, industry comparison and valuation calculation functions. Based on value investment theory, it uses tushare to obtain public financial data, suitable for ordinary investors with low-frequency trading.
Evaluate a vendor — cost analysis, risk assessment, and recommendation. Use when reviewing a new vendor proposal, deciding whether to renew or replace a contract, comparing two vendors side-by-side, or building a TCO breakdown and negotiation points before procurement sign-off.