Loading...
Loading...
Found 3,186 Skills
Plain-language fix guide for failing GTM tests. Use when tests have failed and the developer needs step-by-step instructions to fix each issue. Reads gtm-test-results.json and writes a fix guide in plain English - no GTM expertise required to follow. No API calls. Trigger on - "fix guide", "how do I fix failing tests", "tests failing", "gtm test failures", "fix my tracking", "what broke".
Pipeline status check for GTM projects. Use when returning to a project mid-implementation, when unsure what step comes next, or to get a quick overview of what has been completed. Reads all GTM output files and shows which skills have run, current implementation coverage, and the recommended next step. No API calls, instant. Trigger on - "what step am I on", "gtm status", "where did I leave off", "what's been done", "check progress", "pipeline status".
Compares current live GTM container against last known state from gtm-implementation-log.json. Shows what tags, triggers, and variables have been added, deleted, or modified since the last skill run. Read-only, no changes made. Prevents accidentally overwriting manual GTM changes. Trigger on - "what changed in GTM", "gtm diff", "check for manual changes", "gtm drift", "what's different in my container", "has anything changed".
Strategic GTM tracking planning with product manager expertise. Use when users need to plan tracking strategy, define what metrics to measure, understand business impact of tracking, create tracking specifications, or need guidance on "what should I track?" questions. Asks discovery questions about business goals, maps objectives to events, defines event taxonomy, and creates structured tracking plans. Trigger on - "plan GTM tracking", "what should I track", "create tracking plan", "define measurement strategy", "GTM strategy".
Automates Google Tag Manager API setup including googleapis installation, OAuth credential creation, token management, and prerequisites validation. Use when users need to "set up GTM API", "configure GTM API access", "get GTM OAuth credentials", "install googleapis", or encounter authentication errors. Handles complete technical setup from dependency installation through API connection verification.
Expert at analyzing the quality and effectiveness of Claude Code components (agents, skills, commands, hooks). Assumes component is already technically valid. Evaluates description clarity, tool permissions, auto-invoke triggers, security, and usability to provide quality scores and improvement suggestions.
Issue creation expertise and convention enforcement. Auto-invokes when creating issues, writing issue descriptions, asking about issue best practices, or needing help with issue titles. Validates naming conventions, suggests labels, and ensures proper metadata.
Expert at integrating MCP servers into Claude Code plugins. Auto-invokes when configuring MCP servers (stdio/SSE/HTTP/WebSocket), writing .mcp.json files, or adding external tool integrations.
Expert at writing high-quality documentation for code, APIs, and projects. Auto-invokes when generating docstrings, creating README files, writing API documentation, adding code comments, or producing any technical documentation. Provides language-specific templates and best practices for effective documentation writing.
Accessibility testing for web applications using Playwright (@playwright/test) with TypeScript and axe-core. Use when asked to write, run, or debug automated accessibility checks, keyboard navigation tests, focus management, ARIA/semantic validations, screen reader compatibility, or WCAG 2.1 Level AA compliance testing. Covers axe-core integration, POUR principles (perceivable, operable, understandable, robust), color contrast, form labels, landmarks, and accessible names.
Expert at analyzing documentation quality, coverage, and completeness. Auto-invokes when evaluating documentation health, checking documentation coverage, auditing existing docs, assessing documentation quality metrics, or analyzing how well code is documented. Provides frameworks for measuring documentation effectiveness.
Run 150+ AI apps via inference.sh CLI - image generation, video creation, LLMs, search, 3D, Twitter automation. Models: FLUX, Veo, Gemini, Grok, Claude, Seedance, OmniHuman, Tavily, Exa, OpenRouter, and many more. Use when running AI apps, generating images/videos, calling LLMs, web search, or automating Twitter. Triggers: inference.sh, infsh, ai model, run ai, serverless ai, ai api, flux, veo, claude api, image generation, video generation, openrouter, tavily, exa search, twitter api, grok