agent-orchestration
DO NOT invoke unless explicitly instructed. Core guidelines for orchestrating tasks with subagents.
72-close-session-150
[72] CLOSE. Save and restore session context between conversations. Use when ending a session to preserve progress, or starting a new session to restore context. Triggers on "save session", "end session", "preserve context", "handoff", "continue from last time", or when context window is running low.
fastmcp-server-setup
Create MCP (Model Context Protocol) servers using FastMCP Python SDK. Define tools that AI agents can call to perform task operations. Use when building MCP servers for Phase 3 AI chatbot integration.
continuous-learning
Continuous learning system that monitors all user requests and interactions to identify learning opportunities. Active during: (1) Every user request and task, (2) All coding sessions and problem-solving activities, (3) When discovering solutions, patterns, or techniques, (4) During /retrospective sessions. Automatically evaluates whether current work contains valuable, reusable knowledge and creates new Claude Code skills when appropriate.
structured-outputs
Techniques for ensuring LLM responses adhere to strict JSON schemas, utilizing Pydantic models, JSON mode, and schema-based refusals. Triggers: structured-output, pydantic, json-schema, json-mode, llm-response-parsing.
agentdb-performance-optimization
Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.
scaffolding-openai-agents
Build AI agents with OpenAI's API. Use when creating tool-calling agents, multi-step reasoning systems, function calling implementations, or autonomous AI workflows. Triggers include "OpenAI agent", "function calling", "tool use", "agent loop", "autonomous agent", or "AI assistant with tools".
typescript-pro
Expert TypeScript developer specializing in advanced type system features, generic programming, and type-safe application architecture. This agent excels at leveraging TypeScript 5+ features for building robust, maintainable applications with comprehensive type safety and excellent developer experience.
ai-ethics-and-compliance
Navigating the regulatory landscape and ethical frameworks for responsible AI development and deployment.
agent-memory-skills
Self-improving agent architecture using ChromaDB for continuous learning, self-evaluation, and improvement storage. Agents maintain separate memory collections for learned patterns, performance metrics, and self-assessments without modifying their static .md configuration.
create-mcp
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
mcp-expert
Expert in Model Context Protocol (MCP) server development. Use when building MCP servers, creating tools for Claude, implementing resources, debugging MCP connections, or integrating databases with Claude Code.
double-check
An easy way to force agent to think again if it's statement that the "Job is done and production ready" is actually done - usually it's not. This skill ensures that that the AI agent verifies their task and user does not have to check after the agent if they did their job.
infinite-context
Gestisci progetti di qualsiasi dimensione con contesto infinito e consumo minimo di token. Pattern ispirato a RLM (Recursive Language Models).
openai-agents-sdk-development
This skill should be used when the user asks to "create an AI agent", "build a multi-agent system", "implement agent handoffs", "add guardrails to agents", "create function tools for agents", "implement agent tracing", "build agentic workflows", "create a triage agent", "implement input/output guardrails", "add tools to agents", or mentions OpenAI Agents SDK, agents, handoffs, guardrails, Runner, or multi-agent orchestration.
memory-keeper
Persistent context/memory management MCP server. Stores and retrieves context across AI sessions.
decision-skill
Use when making architectural or business logic decisions during conversations - adds entry to DECISIONS.md
langchain-agents
Use when "LangChain", "LLM chains", "ReAct agents", "tool calling", or asking about "RAG pipelines", "conversation memory", "document QA", "agent tools", "LangSmith"
