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Found 34 Skills
Extract structured data from 40+ websites including Amazon, LinkedIn, Instagram, TikTok, Facebook, YouTube, and more. Uses Bright Data's Web Data APIs with automatic polling. Returns clean JSON with product details, profiles, reviews, posts, and comments.
Get the current Neovim context as JSON (cursor position, current file, visual selection and diagnostics) to help answer questions about code at the current cursor position, visual selections and diagnostics. Use when users ask about "this line", "current file", "selection" or need context about their Neovim editor state.
Transcribes video audio using WhisperX, preserving original timestamps. Creates JSON transcript with word-level timing. Use when you need to generate audio transcripts for videos.
Subscribe to Binance Spot public market streams through UXC raw WebSocket support for trades, book ticker, depth, and ticker events with stream-specific guardrails.
Score assistant responses for relevance on a strict 1-5 scale, then return strict JSON only with score, rationale, and improvement suggestions. Use when the user asks to evaluate relevance, grade relevance, or critique topical alignment.
Generate text content using Google Gemini models via scripts/. Use for text generation, multimodal prompts with images, thinking mode for complex reasoning, JSON-formatted outputs, and Google Search grounding for real-time information. Triggers on "generate with gemini", "use gemini for text", "AI text generation", "multimodal prompt", "gemini thinking mode", "grounded response".
Page-level slide prompting skill. Converts DESIGN.md and slide_plan.json into detailed slide-generation prompts in JSON while preserving theme, body-slide consistency, and layout discipline.
The review, as JSON — runs the review skill and emits the result as a single structured JSON object. Used by CI; use the `review` skill directly for human-facing reviews.
Summarize CLI: URLs, files, YouTube, transcripts, media, extraction, and JSON output.
Atomic Skill for Brand Gene Style Extraction. Based on product images and user-provided brand gene parameters (main color, font, platform, region, language), extract a unified brand visual language (Brand DNA) and output structured brandGeneJson for consumption by downstream atomic skills. Keywords: brand gene extraction, brand gene extract, brand DNA, brand visual definition, brand tone extraction, brand style extraction, visual identity extraction. Called by the image layout layer (linkfox-aigc-imagegen-cloth / product image layout path) in Step 3; triggered when the user says "extract brand gene", "define brand style", "brand gene", or "brand visual".