n8n-ai-features
AI capabilities in n8n - agents, LangChain, vector stores, LLM providers, RAG, AI workflows
Boost efficiency with task automation and organizers.
AI capabilities in n8n - agents, LangChain, vector stores, LLM providers, RAG, AI workflows
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Integrate Gemini AI CLI into Claude Code for AI collaboration, code analysis, and tool execution. Use when working with Gemini AI, Google AI, multimodal tasks, or needing advanced AI capabilities.
Systematically explore unfamiliar codebases and document findings using Julie's code intelligence, Sherpa's exploration workflow, and Goldfish's documentation. Activates when learning new code with semantic search, architecture mapping, and persistent documentation.
Self-hosted AI browser automation using Browser Use with any LLM (Claude, GPT, Ollama). Use when building web scraping agents, data extraction pipelines, self-hosted automation, or when you need flexibility without API rate limits.
Enhanced docs generation with AI-powered features. Enhanced with Context7 MCP for up-to-date documentation.
This skill should be used when the user asks about libraries, frameworks, API references, or needs code examples. Activates for setup questions, code generation involving libraries, or mentions of specific frameworks like React, Vue, Next.js, Prisma, Supabase, etc.
Add and configure Claude Code hooks for event-driven automation. Use when setting up hooks, creating hook scripts, or automating tool-related workflows.
Complete guide for separating meta-configurations (Claude Code tool configuration) from domain configurations (project implementation). Learn how to avoid conflicts when working with multiple projects, especially those using agent SDKs/ADKs like Google ADK, LangChain, or Anthropic SDK. Covers namespace isolation, prefixing conventions, CLAUDE.md hierarchy, scope declaration, and conflict detection strategies.
Enter explore mode - a thinking partner for exploring ideas, investigating problems, and clarifying requirements. Use when the user wants to think through something before or during a change.
Create or update Claude Code skills. Use when user wants to create a new skill, update an existing skill, or needs guidance on skill design.
Design context-sensitive help systems, tooltips, onboarding flows, and support documentation for learning platforms. Use for user assistance. Activates on "help system", "user assistance", "onboarding", or "contextual help".
Use when you have Knowledge Base exports and want to identify user pain points, missing articles, and AI assistance opportunities.
Execute structural and contextual code searches using Mantic.sh to retrieve relevant code snippets and repository information for AI agents.
Comprehensive context management strategies for cost optimization and infinite-length conversations. Covers server-side clearing (tool results, thinking blocks), client-side SDK compaction (automatic summarization), and memory tool integration. Use when managing long conversations, optimizing token costs, preventing context overflow, or enabling continuous agentic workflows.
Build visual AI workflows with Amazon Bedrock Flows. Create flows with prompt nodes, knowledge bases, Lambda, inline code, condition branching, iterators, collectors, and DoWhile loops. Version management, aliases, deployment. Use when building multi-step AI workflows, orchestrating models and services, creating condition-based routing, implementing iterative processing, or deploying production AI pipelines.
Scrape external documentation (API references, library docs, protocol specifications) and generate Claude Agent Skills in SKILL.md format. Use when creating skills from documentation, integrating third-party knowledge, or building domain-specific skills. Parses HTML/Markdown, extracts structure, generates proper frontmatter and instructions. Triggers on "scrape documentation", "docs to skill", "generate skill from docs", "API documentation to skill".
Use this skill when the user asks to save, remember, recall, or organize memories. Triggers on: 'remember this', 'save this', 'note this', 'what did we discuss about...', 'check your notes', 'clean up memories'. Also use proactively when discovering valuable findings worth preserving.
Skill for deploying and managing agents on Google Cloud Platform, specifically Vertex AI Reasoning Engine.
Copilot agent that assists with bug investigation, root cause analysis, and fix generation for efficient debugging and issue resolution Trigger terms: bug fix, debug, troubleshoot, root cause analysis, error investigation, fix bug, resolve issue, error analysis, stack trace Use when: User requests involve bug hunter tasks.
Build AI agents with Claude Agent SDK in TypeScript. Covers V1 query() API for batch workflows and V2 session API for interactive apps. Includes tool configuration, hooks, MCP servers, and multi-turn patterns.
Generate knowledge schemas and ontologies from any input format. Extract semantic structures, relationships, and hierarchies. Output as Obsidian markdown with YAML frontmatter, wikilinks, tags, and mermaid diagrams, or export to semantic formats (JSON-LD, RDF, Neo4j Cypher, GraphQL). Supports fractal mode (strict hierarchical constraints) and free mode (flexible generation). Auto-activates for queries containing "schema", "ontology", "knowledge graph", "extract structure", or "generate outline".
Provides automated fact-checking, quality assessment, and self-validation capabilities for AI outputs. Use this skill when you need to verify factual claims, assess implementation quality, or ensure outputs meet production standards before delivery.