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Found 5,843 Skills
Logo 分块组装入场 + glow bloom + tagline 揭示, 适合视频片尾 / 品牌闭幕
Android VPN client that tunnels SOCKS5 traffic through Google Apps Script to a VPS exit server with AES-256-GCM encryption and domain fronting
Code commit, PR creation, merge, and issue closure workflow via GitHub CLI (gh). Triggers after a goal (GitHub Issue) implementation is complete — commit code, push branch, create PR, merge, then close the issue. Use when the user says "提交代码", "commit and merge", "创建PR", "合入", "关闭issue", "ship-it", or when a goal implementation is done and code needs to be shipped.
Use when you need MongoDB persistence in Micronaut — including @MongoRepository design, document modeling, indexes, query patterns, and error handling. This should trigger for requests such as Add MongoDB in Micronaut; Review Micronaut Data Mongo design; Improve error handling for Micronaut Mongo operations. Part of cursor-rules-java project
Searches for homologous protein sequences using MMseqs2 (fast, default) or BLAST (comprehensive, fallback). Trigger this whenever the user provides a protein sequence or FASTA file and asks to find homologues, sequence matches, or wants to infer protein function based on sequence similarity, but not when the user wants to infer protein function based on structural similarity.
Use when the user asks to define a goal, create a Goal Contract, or clarify a concrete task's goal, scope, success criteria, evidence, or guardrails before planning or execution.
Use the data.gouv.fr MCP server to search, explore, and analyze French Open Data datasets through AI chatbots
Add policy enforcement, zero-trust identity, and execution sandboxing to AI agents with Microsoft's Agent Governance Toolkit
Expert in video composition, editing, and format conversion. Use when the user wants to generate high-quality video, overlay images on video, concatenate clips, create GIFs, or sync audio to video using mcp-avtool-go and mcp-veo-go.
Fetch official brand/product/tool logos (Stripe, GitHub, Notion, AWS, Figma, etc.) as clean SVGs from SVGL (svgl.app) — as saved .svg files, inline markup, or installed React components. Check this whenever logos or SVGs come up, e.g. adding brand marks to integration/partner rows, footers, pricing tables, or slides; replacing a blurry logo with a vector; getting light/dark variants; or finding an official logo. Prefer it over hand-writing SVG markup or grabbing random files. Skip for generic UI icons, illustrations, charts, favicons from an existing logo, or designing a brand-new custom logo.
A shared, file-based town square where multiple coding agents talk, coordinate, and debate — no server required. Use whenever more than one agent works the same repo (parallel Claude Code or Codex sessions, separate git worktrees, a fleet splitting a task) and they must stay out of each other's way or think together. TRIGGER on phrasings like "coordinate with the other agent/session", "post to / check the agora", "ask the other agents", "leave a message for whoever's working on X", "announce what files you're touching", "is anyone else editing this?", or any time you're about to edit shared code while other agents are live. Also trigger when an agent is stuck and wants a peer's second opinion, or when several agents each drafted a design (an API, a schema, an architecture) and the group needs to compare the proposals and converge on the best one. Works for any agent that can run a Python script, not just Claude Code.
Process and generate multimedia content using Google Gemini API. Capabilities include analyze audio files (transcription with timestamps, summarization, speech understanding, music/sound analysis up to 9.5 hours), understand images (captioning, object detection, OCR, visual Q&A, segmentation), process videos (scene detection, Q&A, temporal analysis, YouTube URLs, up to 6 hours), extract from documents (PDF tables, forms, charts, diagrams, multi-page), generate images (text-to-image, editing, composition, refinement). Use when working with audio/video files, analyzing images or screenshots, processing PDF documents, extracting structured data from media, creating images from text prompts, or implementing multimodal AI features. Supports multiple models (Gemini 2.5/2.0) with context windows up to 2M tokens.