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Found 6,869 Skills
AI-powered web search via Exa with content extraction. Use when user says "exa search", "web search with content", "find similar pages", or needs broad web results beyond academic databases (arXiv, Semantic Scholar).
Meltwater platform help — media intelligence, social listening, media relations (journalist database + outreach), influencer marketing, social media management, consumer intelligence, Mira AI, API, and integrations. Use when Meltwater Explore searches return noisy results, media monitoring is missing coverage, journalist contacts are outdated, influencer campaigns aren't tracking properly, social publishing isn't scheduling, Meltwater API or Mira AI isn't returning expected data, or CRM/BI integrations aren't syncing. Do NOT use for cross-platform social listening strategy (use /sales-social-listening), cross-platform media relations strategy (use /sales-media-relations), cross-platform influencer marketing strategy (use /sales-influencer-marketing), or email deliverability (use /sales-deliverability).
Retargeting and remarketing strategy — website visitor retargeting, cart abandonment recovery, dynamic product ads, cross-channel retargeting, audience segmentation, frequency capping, attribution, pixel setup, in-app retargeting. Use when website visitors leave without converting, cart abandonment rates are too high, retargeting ads aren't profitable, you're unsure which retargeting platform to use, or past visitors never come back. Do NOT use for AdRoll-specific config (use /sales-adroll), Remerge-specific config (use /sales-remerge), email marketing (use /sales-email-marketing), B2B account-based advertising (use /sales-b2b-advertising), or general paid ads strategy (use /paid-ads).
Documents a strategic pivot or persevere decision with the evidence, analysis, and rationale. Use when evaluating whether to change direction on a product, feature, or strategy based on market feedback.
Use the unified Opper SDKs (`opperai` package for both Python and TypeScript, with built-in agent support) for AI task completion, structured output with Pydantic / Zod / JSON Schema, knowledge base semantic search, streaming, tracing, tool use, and multi-agent composition. Use this skill whenever the user is writing Python or TypeScript code that imports `opperai`, builds an Opper agent, or asks how to do anything Opper-related in code — even if they don't explicitly name the SDK. Both languages live in one repo with parallel numbered examples; agents are part of the SDK, not a separate package.
Compiles any research input — PDF papers, GitHub repositories, experiment logs, code directories, or raw notes — into a complete Agent-Native Research Artifact (ARA) with cognitive layer (claims, concepts, heuristics), physical layer (configs, code stubs), exploration graph, and grounded evidence. Use when ingesting a paper or codebase into a structured, machine-executable knowledge package, building an ARA from scratch, or converting research outputs into a falsifiable, agent-traversable form.
Official skill for Youdao Cloud Note, supporting basic operations such as note CRUD (Create/Read/Update/Delete), to-do management, web clipping, note search, and folder management. If you need to build a knowledge base or Wiki, please use the youdaonote-llm-wiki skill instead of this skill.
Generate complete production-ready SaaS boilerplate with authentication, database schemas, billing integration (Stripe), multi-tenancy, API routes, dashboard UI, and deployment configuration. Supports Next.js App Router, TypeScript, Tailwind, shadcn/ui, Drizzle ORM, and multiple auth/payment providers. Use when starting a new SaaS product, subscription app, or multi-tenant platform.
Expert logging guidance based on Boris Tane's loggingsucks.com philosophy. Use when implementing logging, adding observability, debugging production issues, or reviewing code that includes log statements. Covers wide events architecture, structured logging, smart sampling, and high-cardinality field design.
Implements the Syncfusion React Range Navigator component for scrolling and navigating through data with range selection. Use this when users need time-based navigation, financial data visualization, or chart integration with a range selector control. Supports numeric, logarithmic, and DateTime data binding, multiple series types, period selector, lightweight mode, tooltips, RTL, and export/print functionality.
Read every docs/benchmarks/runs/*.json and surface drift in win rate, latency, escalation rate, and LLM-baseline cost over time
Use when the user wants to bootstrap a target codebase for AI-driven development with Claude Code. Generates a concise CLAUDE.md grounded in the actual stack (build tools, test runner, code style), creates a docs/ folder skeleton (designs/, prd/, plans/), and seeds conventions (conventional commits, plan-checkbox format, where designs and PRDs live). Triggers on "init Claude in this repo", "set up CLAUDE.md", "bootstrap docs folder", "prepare this project for Claude Code", "scaffold AI dev workflow", "/init this project".