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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.
Claude Code memory management, context persistence, and knowledge retention. Use when managing session memory, persisting context, or optimizing knowledge retention.
Integrates Anthropic Claude API for chat, tool use, and vision capabilities. Use when building AI-powered features with Claude models including streaming, extended thinking, and multi-turn conversations.
How to deploy Claude Code with Amazon Bedrock, Google Vertex AI, and other cloud providers. Use when user asks about AWS Bedrock, GCP Vertex AI, cloud deployment, or enterprise deployment.
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".
Creates and configures HTTP with Server-Sent Events Model Context Protocol (MCP) server connections for OpenAI Agents SDK
Push GameGen Game Design to Godot by parsing AI responses and generating .tscn scene files. Consumes AI responses to build Godot objects/controls.
Work on Agent Studio chat (UI + streaming) and the /api/chat route. Use for tasks like message rendering, reasoning display, editing/regenerate, Zustand chat stores, model/settings UI, and OpenRouter or Vercel AI SDK integration. 聊天功能开发/排障：流式输出、Reasoning 展示、消息编辑与重新生成、模型与参数设置。
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.
This skill should be used when the user asks to "add resiliency to a skill", "make this skill more robust", "improve error handling", "add validation mechanisms", "create self-correcting behavior", or discusses determinism, robustness, error correction, or homeostatic patterns in Agent Skills. Applies biological resiliency principles from Michael Levin's work to Agent Skill design.
Maintain context across Claude Code sessions using filesystem persistence. Prevents context loss, enables plan continuity, and supports multi-session workflows.
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".
Guide for building AI-powered applications using the Vercel AI SDK v6. Use when developing with generateText, streamText, useChat, tool calling, agents, structured output generation, MCP integration, or any LLM-powered features in TypeScript/JavaScript applications. Covers React, Next.js, Vue, Svelte, and Node.js implementations.
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.
Expert guidance for integrating paid AI model APIs including Claude (Anthropic), OpenAI, Google Gemini, Groq, and others with Python applications
This skill should be used when the user asks about "codex CLI options", "codex flags", "codex exec command", "codex session management", "codex sandbox modes", or needs reference information about invoking the OpenAI Codex CLI tool.
Setup and use Docker AI (Gordon) for intelligent container operations
Track, evaluate, and analyze multi-agent AI workflows using Azure AI Foundry cloud evaluations. Use when logging agent trajectories, computing evaluation metrics, measuring plan adherence, or generating workflow analytics.
