Loading...
Loading...
Found 134 Skills
Fetch X/Twitter tweet content by URL and search X posts. Resolves tweet links that WebFetch cannot scrape. Use for: reading saved X/Twitter links, fetching tweet content from URLs, searching X for posts on a topic, batch-processing X links from notes. Triggers: x.com link, twitter.com link, fetch tweet, read tweet, what does this tweet say, X search, twitter search.
Plan and execute Convex schema migrations safely, including adding fields, creating tables, and data transformations. Use when schema changes affect existing data.
Generate and save images using Pollinations.ai's free, open-source API. No signup required. Supports URL-based generation, custom parameters (width, height, model, seed), and automatic file saving. Perfect for quick prototypes, marketing assets, and creative workflows.
Gemini-native Nano Banana image generation and editing across Nano Banana, Nano Banana 2, and Nano Banana Pro. Use when you need text-to-image, image-to-image edits, repeated local references, batch generation, dry-run request inspection, or a custom Gemini-compatible base URL such as a self-hosted gateway.
Extract text from images and scanned PDFs using OCR. Supports 100+ languages, table detection, structured output (markdown/JSON), and batch processing.
Add data to an open investigation — documents, interview notes, or observations. Processes batches against the documented pull criteria, surfaces significant items, and logs everything reviewed for coverage verification. Use when new evidence, interview notes, or document productions come in for an open investigation.
通过Eureka专利数据平台获取专利标题和摘要的翻译版本。当用户要求专利摘要翻译、专利标题翻译、翻译后的专利摘要、其他语言的专利内容、中文/英文/日文的专利摘要，或需要通过专利ID或公开号查询特定专利的摘要、标题、Eureka专利摘要、patent abstract translation, patent title translation, Eureka patent, patent translation, abstract lookup时触发此技能。当用户提到Eureka或专利摘要查询时也应触发，即使未明确说"翻译"。
>
Convert between 8 formats (PDF, DOCX, PPTX, XLSX, TXT, CSV, MD, HTML). Best-effort text extraction, batch processing, and document format transformation.
List available large language models and send chat completion requests programmatically. Use this skill when you need to call an LLM within a snippet, including model comparison, visual understanding, batch inference, and model performance testing.
>
Python error handling patterns including input validation, exception hierarchies, and partial failure handling. Use when implementing validation logic, designing exception strategies, handling batch processing failures, or building robust APIs.