Total 46,631 skills
Showing 12 of 46631 skills
Email infrastructure for AI agents. Create accounts, send/receive emails, manage webhooks, and check karma balance via the AgentMail API.
Plan Amazon product listing images for maximum conversion. Create shot lists, infographic layouts, lifestyle scene briefs, and A/B testing plans following Amazon's image requirements and best practices.
Optimize product visibility in Amazon search results. Analyze current search ranking factors, identify optimization gaps, and provide actionable improvements for Amazon's A9/COSMO algorithm.
Discover trending products and rising categories on Amazon. Analyzes Best Seller Rank (BSR) patterns, new release momentum, seasonal trends, and emerging niches. Helps identify product opportunities before they peak.
Discover profitable Amazon niches with low competition and high demand. Evaluates niche viability using demand indicators, competition metrics, profit margins, and growth potential.
Configure security headers to defend against clickjacking, XSS, MIME confusion, and SSL stripping attacks. Use this skill when you need to set up Content-Security-Policy, X-Frame-Options, HSTS, configure middleware headers, or understand browser security features. Triggers include "security headers", "CSP", "content security policy", "X-Frame-Options", "HSTS", "clickjacking", "MIME confusion", "middleware headers".
Opik observability for LLM agents — Agent Configuration, Local Runner (opik connect), Evaluation Suites, threads, integrations. Use for "configure my agent", "connect my agent", "evaluate my agent" or "integrate with Opik".
Analyze Java project architecture at macro level - package structure, module boundaries, dependency direction, and layering. Use when user asks "review architecture", "check structure", "package organization", or when evaluating if a codebase follows clean architecture principles.
Java logging best practices with SLF4J, structured logging (JSON), and MDC for request tracing. Includes AI-friendly log formats for Claude Code debugging. Use when user asks about logging, debugging application flow, or analyzing logs.
This skill should be used when the user asks to "review code", "review my changes", "check effect patterns", "run effect review", "effect review", "review for effect best practices", or wants a comprehensive code review against Effect-TS conventions, branded types, observability, error handling, test coverage, and UI quality.
Connect Codex CLI as an MCP server — giving you codex_run and codex_review as native tool calls instead of black-box bash commands. codex_run covers six modes: explore (broad codebase discovery), inspect (targeted read-only and injected-context follow-up), build (write/edit code), debug (reproduce→diagnose→fix→verify), test (write/run tests), research (web search only). codex_review runs independent code review in an isolated thread. Each mode bakes in task-specific instructions so Codex performs well per task type. Use this skill whenever the user mentions: "set up codex MCP", "connect codex to claude", "codex MCP server", "install codex tools", "configure codex integration", or wants Codex available as native tools in any agent. Distributed via `npx skills add` — no global install needed.
Validate configuration early to fail fast. Apply when writing setup scripts, Lambda cold starts, or any initialization code that depends on environment variables.