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Found 1,443 Skills
Analyze A/B test results with statistical significance, sample size validation, confidence intervals, and ship/extend/stop recommendations. Use when evaluating experiment results, checking if a test reached significance, interpreting split test data, or deciding whether to ship a variant.
BibiGPT CLI for summarizing videos, audio, and podcasts directly in the terminal. Use when the user wants to summarize a URL (YouTube, Bilibili, podcast, etc.) or check their BibiGPT authentication status. Requires the BibiGPT desktop app installed with an active login session, or a BIBI_API_TOKEN environment variable set.
Comprehensive web scraping, crawling, and data extraction toolkit powered by Firecrawl API. Provides scripts for single-page scraping (scrape.py), web search (search.py), URL discovery (map.py), multi-page crawling (crawl.py), structured data extraction (extract.py), and autonomous data gathering (agent.py). Use when you need to: (1) extract content from web pages, (2) search and scrape the web, (3) discover URLs on websites, (4) crawl multiple pages, (5) extract structured data with JSON schemas, or (6) autonomously gather data from anywhere on the web. Requires FIRECRAWL_API_KEY environment variable.
Send notifications via Notifery API using curl. Use when the user wants to be notified about task completions, errors, or progress. Also use proactively after long-running tasks, failed operations, or when the user has asked to be kept informed. Triggers include "notify me", "send notification", "let me know when done", "alert me", "ping me", "notifery", or when a long task completes and the user previously asked for notifications. Requires NOTIFERY_API_KEY environment variable.
Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".
Offers the user an informed choice about how much response depth to consume before answering. Use this skill when the user explicitly wants to control response length, depth, or token budget. TRIGGER when: "token budget", "token count", "token usage", "token limit", "response length", "answer depth", "short version", "brief answer", "detailed answer", "exhaustive answer", "respuesta corta vs larga", "cuántos tokens", "ahorrar tokens", "responde al 50%", "dame la versión corta", "quiero controlar cuánto usas", or clear variants where the user is explicitly asking to control answer size or depth. DO NOT TRIGGER when: user has already specified a level in the current session (maintain it), the request is clearly a one-word answer, or "token" refers to auth/session/payment tokens rather than response size.
Composes, debugs, and optimizes Guillotine GraphQL queries for Enonic XP headless content delivery. Covers query construction, variable usage, filtering, aggregation, pagination, sorting, and TypeScript type generation from the auto-generated Guillotine schema. Use when writing or troubleshooting Guillotine queries, querying custom content types through GraphQL, or generating typed interfaces from Guillotine responses. Don't use for content type XML definitions, non-Enonic GraphQL APIs (Apollo, Hasura), server-side lib-content queries, or Guillotine deployment and CORS configuration.
Guides MongoDB users through implementing and optimizing Atlas Search (full-text), Vector Search (semantic), and Hybrid Search solutions. Use this skill when users need to build search functionality for text-based queries (autocomplete, fuzzy matching, faceted search), semantic similarity (embeddings, RAG applications), or combined approaches. Also use when users need text containment, substring matching ('contains', 'includes', 'appears in'), case-insensitive or multi-field text search, or filtering across many fields with variable combinations. Provides workflows for selecting the right search type, creating indexes, constructing queries, and optimizing performance using the MongoDB MCP server.
Step-by-step implementation guides for building features in a Shopify Hydrogen storefront — bundles, combined listings, customer accounts, 3D models, performance, variant media, and Weaverse integration.
Escape the build trap and endless backlogs. Use Basecamp's methodology to ship meaningful work in 6-week cycles with fixed time, variable scope. Use when: **Product planning** to replace endless backlogs; **Feature development** with clear time boundaries; **Team autonomy** when you want self-directed teams; **Scope management** when projects tend to balloon; **Startup development** with limited resources
Multi-agent collaboration plugin that spawns N parallel subagents competing on the same task via git worktree isolation. Agents work independently, results are evaluated by metric or LLM judge, and the best branch is merged. Use when: user wants multiple approaches tried in parallel — code optimization, content variation, research exploration, or any task that benefits from parallel competition. Requires: a git repo.
Tailwind CSS v4 with CSS-first configuration and design tokens. Use when setting up Tailwind v4, defining theme variables, using OKLCH colors, or configuring dark mode. Triggers on @theme, @tailwindcss/vite, oklch, CSS variables, --color-, tailwind v4.