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Found 4,951 Skills
Use when work must be verified in local Canvas Workbench, or when the user asks to run, open, or check a component in Workbench. Verifies that Canvas Workbench is available through the project's package runner, starts the local Workbench dev server, and keeps Workbench verification as part of the implementation workflow.
SPARC development workflow: Specification, Pseudocode, Architecture, Refinement, Completion. A structured approach for complex implementations that ensures thorough planning before coding. Use when: new feature implementation, complex implementations, architectural changes, system redesign, integration work, unclear requirements. Skip when: simple bug fixes, documentation updates, configuration changes, well-defined small tasks, routine maintenance.
High-quality article translation skill, adopting a four-step professional translation workflow: **Analysis → Initial Translation → Review → Final Draft**. Only supports Chinese ↔ English, Chinese ↔ Japanese translation. Triggered when users explicitly request translation using terms such as "翻译", "translate", "精翻", "翻訳", "翻译文章", "translate to Chinese/English/Japanese", "改成中文", "改成英文", "改成日文", "翻成中文", "翻成日文", "翻成英文", "英译中", "中译英", "中译日", "日译中", "日本語に翻訳", "中国語に翻訳", "英語に翻訳", "これを翻訳して", "put this in Chinese", "put this in English", "put this in Japanese", "convert to Chinese", "convert to English", "convert to Japanese", "帮我翻一下", "本地化", "localize", "这篇文章翻译一下", or provide a URL/file/text body and explicitly request a final draft in the target language. Not applicable to requests for only summarization, explanation, comprehension, or organization. If the input is a URL, prioritize using `curl -L` to request `r.jina.ai` to fetch the body content in Markdown; if fetching fails or the content is incomplete, you must stop immediately and ask the user to provide the full text themselves.
Smart git commit workflow using Conventional Commits format with AI-generated commit message suggestions based on staged changes.
Podcast knowledge workflows powered by Podwise CLI: search podcasts and episodes by keyword, monitor followed shows for new releases, find popular episodes, ask questions and extract insights from transcript content, process Podwise episode URLs, YouTube videos, Xiaoyuzhou links, and local audio or video files to retrieve transcripts, summaries, chapters, Q&A, mind maps, highlights, and keywords — plus catch up on your backlog, refine your listening taste, generate weekly recaps, export episode notes to PKM tools, research topics across podcasts, debate episode ideas, and generate language learning cards. Use when the user wants to find, summarize, transcribe, or extract insights from any podcast or audio content, or manage their listening library.
Toolkit client usage for AIClient, AppDBClient, WorkflowClient, and CodeEngineClient.
Build and publish Domo apps with dist workflow and first-publish ID handling.
Creates polished Marp slide decks through an interview-driven workflow. Use when the user wants to create a presentation, build slides, or make a deck. Interviews the user first (goal, audience, key points, data, constraints), then generates structured Marp Markdown with gradient section dividers, breadcrumb navigation, consistent formatting, and automatic HTML/PPTX export.
Execute sensitive browser actions (login, payments, form filling) outside the core agent loop using a dedicated CLI tool. Use when Claude needs to handle credentials, payment information, or other sensitive data in browser automation workflows. Triggers when users ask to log into websites, fill payment forms, or perform authenticated browser actions where sensitive data must be kept secure and separate from the main agent context.
Autonomous AI agent platform for building and deploying continuous agents. Use when creating visual workflow agents, deploying persistent autonomous agents, or building complex multi-step AI automation systems.
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
Direct REST API access to UniProt. Protein searches, FASTA retrieval, ID mapping, Swiss-Prot/TrEMBL. For Python workflows with multiple databases, prefer bioservices (unified interface to 40+ services). Use this for direct HTTP/REST work or UniProt-specific control.