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Found 957 Skills
Best practices, patterns, and examples for building goal-driven agents. Includes client-facing interaction, feedback edges, judge patterns, fan-out/fan-in, context management, and anti-patterns.
Create a minimal working Evernote example. Use when starting a new Evernote integration, testing your setup, or learning basic Evernote API patterns. Trigger with phrases like "evernote hello world", "evernote example", "evernote quick start", "simple evernote code", "create first note".
Search and monitor social media using X/Twitter (via Grok) and Reddit APIs. USE FOR: - Searching X/Twitter posts by keywords or hashtags - Finding X/Twitter users by criteria - Getting a user's recent posts - Searching Reddit posts and discussions - Getting comments from Reddit threads - Social media monitoring and research TRIGGERS: - "twitter", "X", "tweets", "posts on X" - "reddit", "subreddit", "reddit discussion" - "what are people saying", "social media", "sentiment" - "trending", "viral", "popular posts" - "user's posts", "timeline", "recent activity" Use `npx agentcash fetch` for Grok (X) and Reddit endpoints. All endpoints are $0.02 per call. IMPORTANT: Use exact endpoint paths from the Quick Reference table below.
Titanium SDK UI/UX patterns and components expert. Use when working with, reviewing, analyzing, or examining Titanium layouts, ListView/TableView performance optimization, event handling and bubbling, gestures (swipe, pinch), animations, accessibility (VoiceOver/TalkBack), orientation changes, custom fonts/icons, app icons/splash screens, or platform-specific UI (Action Bar, Navigation Bar).
Use this skill when you need to keep a repository's README.md file updated with project metadata, installation instructions, usage examples, and more. It automates synchronization by analyzing codebase patterns and dependencies.
Expert prompt engineering for creating effective prompts for Claude, GPT, and other LLMs. Use when writing system prompts, user prompts, few-shot examples, or optimizing existing prompts for better performance.
Instruments Python and TypeScript code with MLflow Tracing for observability. Triggers on questions about adding tracing, instrumenting agents/LLM apps, getting started with MLflow tracing, or tracing specific frameworks (LangGraph, LangChain, OpenAI, DSPy, CrewAI, AutoGen). Examples - "How do I add tracing?", "How to instrument my agent?", "How to trace my LangChain app?", "Getting started with MLflow tracing", "Trace my TypeScript app"
Translate structured documents (DOCX) to RTL languages (Arabic, Hebrew, Urdu) while preserving exact formatting, table structures, colors, and layouts. Handles quote normalization, multi-pass translation matching, and RTL-specific formatting patterns.
Audits Python + BigQuery pipelines for cost safety, idempotency, and production readiness. Returns a structured report with exact patch locations.
Formats text according to specified style guidelines. A clean example skill with no security issues.
Audit claude-skills repository documentation with systematic 9-phase review: standards compliance, official docs verification via Context7/WebFetch, code examples accuracy, cross-file consistency, and version drift detection. Auto-fixes unambiguous issues with severity classification. Use when: investigating skill issues, major package updates detected (e.g., v1.x → v2.x), skill not verified >90 days, before marketplace submission, or troubleshooting outdated API patterns, contradictory examples, broken links, version drift.
Write and revamp product documentation to a high editorial standard using Mintlify, with strong information architecture, precise titles/descriptions, parameter-level clarity, cross-linking, and maintainable examples. Use when creating new docs pages, refactoring existing docs, improving docs structure/navigation, or standardizing docs quality across a repository.