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Found 2,396 Skills
Expert guidance for GitHub CLI (gh) - issues, PRs, repos, releases, and GitHub API. Use when working with GitHub, managing issues/PRs, or when user mentions GitHub, PRs, issues, or repos. Preferred over GitHub MCP server for context efficiency.
Capture current page layout, styles, and structure from a live web page using Chrome DevTools MCP. Use when you need to understand the existing UI before making changes — captures screenshots, DOM structure, computed styles, and layout properties. Useful as a pre-implementation baseline for frontend or UI-affecting changes.
Interact with all Google Workspace APIs via the gws CLI. Use when managing Drive files, sending/reading Gmail, creating Calendar events, reading/writing Sheets/Docs/Slides, managing Chat spaces, contacts, Admin users/groups, Vault eDiscovery, Classroom, Apps Script, Workspace Events, or configuring the gws MCP server. Triggers on Google Workspace, gws, Drive, Gmail, Calendar, Sheets, Docs, Slides, Chat, Tasks, Meet, Forms, Keep, Admin, People, Vault, Classroom, Apps Script, Cloud Identity, Alert Center, Groups Settings, Licensing, Reseller, Model Armor, gws CLI, gws mcp, Google API, Workspace automation, npx skills add.
Scan skills for prerequisite tools, MCP servers, and auth requirements, then check if everything is installed and authenticated. Offers to fix issues. Use when setting up a new machine, after installing skills, or to verify your environment. Triggers: "check prerequisites", "skill prereqs", "are my tools installed", "verify skill dependencies", "/claude-skill-prereq-audit".
Author or modify Azure TypeSpec API specifications. USE FOR: Any task that creates, modifies, or troubleshoots .tsp files or TypeSpec API specifications — including but not limited to API versioning evolution(add new preview version, add new stable version), ARM resource type(tracked, proxy, extension, child resources) or data-plane resource definitions, resource operations (CRUD, PATCH, custom actions, paging, async/Long Running Operations), models, enums, unions, properties, decorators, constraints, parameters, and swagger-to-TypeSpec conversion. DO NOT USE FOR: SDK generation from TypeSpec, releasing SDK packages, single MCP tool calls that do not require multi-step workflows. TOOLS/COMMANDS: azsdk_typespec_generate_authoring_plan, azsdk_run_typespec_validation
Claude Code + Codex parallel pipeline for bootstrapping Trellis coding specs. CC analyzes the repo with GitNexus (knowledge graph) + ABCoder (AST), creates Trellis task PRDs with full architectural context and MCP tool instructions, then Codex agents run those tasks in parallel to fill spec files. Use when: bootstrapping coding guidelines, setting up Trellis specs, 'bootstrap specs for codex', 'create spec tasks', 'CC + Codex spec pipeline', 'initialize coding guidelines with code intelligence'. Also triggers when user wants to set up GitNexus or ABCoder MCP for multi-agent spec generation.
Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".
Hit the Cloudflare REST API directly for operations that wrangler and MCP can't handle well. Bulk DNS, custom hostnames, email routing, cache purge, WAF rules, redirect rules, zone settings, Worker routes, D1 cross-database queries, R2 bulk operations, KV bulk read/write, Vectorize queries, Queues, and fleet-wide resource audits. Produces curl commands or scripts. Triggers: 'cloudflare api', 'bulk dns', 'custom hostname', 'email routing', 'cache purge', 'waf rule', 'd1 query', 'r2 bucket', 'kv bulk', 'vectorize query', 'audit resources', 'fleet operation'.
Intelligent network quality analysis with adaptive loading strategies. Detects connection type (2g/3g/4g), bandwidth, RTT, and save-data mode, then automatically triggers appropriate optimization workflows. Includes decision trees that recommend image compression for slow connections, critical CSS inlining for high RTT, and save-data optimizations (disable autoplay, reduce quality). Features connection-aware performance budgets (500KB for 2g, 1.5MB for 3g, 3MB for 4g+) and adaptive loading implementation guides. Cross-skill integration with Loading (TTFB impact), Media (responsive images), and Core Web Vitals (connection impact on LCP/INP). Use when the user asks about slow connections, mobile optimization, save-data support, or adaptive loading strategies. Compatible with Chrome DevTools MCP.
Vercel AI SDK v6 development. Use when building AI agents, chatbots, tool integrations, streaming apps, or structured output with the ai package. Covers ToolLoopAgent, useChat, generateText, streamText, tool approval, smoothStream, provider tools, MCP integration, and Output patterns.
Advanced AI agent benchmark scenarios that push Vercel's cutting-edge platform features — Workflow DevKit, AI Gateway, MCP, Chat SDK, Queues, Flags, Sandbox, and multi-agent orchestration. Designed to stress-test skill injection for complex, multi-system builds.
AI image generation for paid ad creatives. Reads campaign-brief.md and brand-profile.json to produce platform-sized ad images using banana-claude. Requires banana-claude (v1.4.1+) with nanobanana-mcp configured. Triggers on: generate ads, create images, make ad creatives, generate visuals, create ad images, generate campaign images, make the images, generate from brief.