ai-llm-patterns
Anthropic Claude integration patterns: streaming, RAG with pgvector, tool use, model selection (Haiku/Sonnet/Opus), prompt caching, and cost management for AI-powered engineering.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
374 skills found
Anthropic Claude integration patterns: streaming, RAG with pgvector, tool use, model selection (Haiku/Sonnet/Opus), prompt caching, and cost management for AI-powered engineering.
A comprehensive framework for deep analysis of articles, papers, and long-form content using 10+ thinking models like SCQA, First Principles, and Systems Thinking.
Read, write, and manage Feishu (Lark) cloud documents. Supports markdown, block manipulation, tables, and media attachments.
Download and analyze YouTube video transcripts to extract technical insights, summarize complex tutorials, and relate video content to your codebase.
Automated detection of IDOR vulnerabilities using a three-phase subagent workflow to verify authorization and ownership checks on sensitive endpoints.
A meta-skill for building robust AI agent skills using a TDD approach: define failure (RED), implement the skill (GREEN), and plug rationalization loopholes (REFACTOR).
AI performance marketing agent for Google, Meta, LinkedIn, and TikTok ads. Automate keyword research, budget management, ROAS tracking, and cross-platform reporting via natural language.
Manage long-running PapersFlow DeepScan research workflows with asynchronous monitoring, live progress tracking, and automated report generation.
Automated CLI tool to scrape and convert Notion, DocSend, PDFs, and general web documents into local PDF files with session persistence and daemon support.
Orchestrate cross-browser, cross-device, and responsive design testing using cloud providers like BrowserStack and Playwright to ensure consistent user experiences.
Audit UI code for Web Interface Guidelines compliance. Automatically checks accessibility, design standards, and UX best practices.
Executes a rigorous, multi-phase Fagan Inspection to systematically resolve persistent, stubborn bugs and complex code interactions.