Master index for Odoo 19 guides. This file provides a quick reference to find the appropriate detailed guide for each topic.
CLI 1C BSL Agent Framework — tools/install.py (clone, install). Используй при клонировании репозитория, установке компонентов в проект, настройке IDE (Cursor, Claude Code,…
Create your OpenAI Agents SDK skill in one prompt, then learn to improve it throughout the chapter
Create your Google Agent Development Kit skill in one prompt, then learn to improve it throughout the chapter — from panaversity/claude-code-skills-lab
Create your MCP server building skill in one prompt, then learn to improve it throughout the chapter
Build a specification-first Digital FTE that orchestrates accumulated intelligence from Lessons 1-7. Learn to compose execution skills into production-ready agents, validate…
3DGS/CAD/Mesh domain-specific spatial intelligence agent: scene-level reasoning, CAD-in-the-loop parametric extraction, multi-modal 3D interaction.
Create your OpenAI Apps SDK skill in one prompt, then learn to improve it throughout the chapter
Create your RAG skill in one prompt, then learn to improve it throughout the chapter
Create your agent-integration skill from OpenAI SDK and LiteLLM documentation before learning framework integration
Provides guidance for automatically evolving and optimizing AI agents across any domain using LLM-driven evolution algorithms.
Decentralized Agent-to-Agent Autonomous Economy. Connects hardware and agents for distributed compute, hive memory access, and economic settlement.
Expose agents as A2A JSON-RPC servers discoverable via Agent Cards, and connect agents to remote A2A agents using the client discovery and capability-matching APIs.
Agent-to-Agent (A2A) executor implementation patterns for task handling, execution management, and agent coordination.
Agent-to-Agent (A2A) protocol implementation patterns for Google ADK - exposing agents via A2A, consuming external agents, multi-agent communication, and protocol configuration.
Guide du protocole Agent-to-Agent (A2A) de Google pour l'interopérabilité entre agents IA — découverte, communication et collaboration inter-agents.
Implement Agent-to-Agent (A2A) protocol for inter-agent communication. Use for agent discovery, agent cards, task delegation, and multi-agent orchestration.
Generate A2UI 0.8 protocol compliant UI code. Use when building agent-driven interfaces, generating JSONL messages for surfaceUpdate/dataModelUpdate/beginRendering, creating…
Use when executing implementation plans with independent tasks in the current session — from sickn33/antigravity-awesome-skills
Knowledge base for Claude Code formats and patterns. Use when creating or improving commands, agents, skills, or hooks.
Register one or many Aerospike Cluster Manager (ACM) MCP endpoints with Claude Code so the cluster-debugger agent and other ecosystem skills can read and operate live clusters.
Headless ACP CLI for agent-to-agent communication. Use when running coding agents (pi/qwen/codex/claude/gemini) headlessly, managing persistent sessions, queueing prompts, or…
Claude Code skill (trtllm-agent-toolkit): implement or extend TensorRT-LLM AutoDeploy fusion transforms under transform/library/ in a TensorRT-LLM checkout.
Use AgentClick when an agent should pause before risky commands, plans, drafts, or code changes so a human can inspect, edit, approve, or reject them in a purpose-built browser UI.
Add a new property to the AI agents database. Use when the user wants to add, create, or introduce a new column, property, field, or feature to track across all agents in the…
Add Atomic Chat MCP server so the container agent can call local models served by the Atomic Chat desktop app via its OpenAI-compatible API.
Use when generating or updating CLAUDE.md files — defines what belongs vs. what stays in skills/docs, format rules (JSON for data, markdown for rules/instructions), and line…
Add Qdrant embedding support to v3 WordPress components for RAG chatbot. Implements component-level content chunking for searchable, structured embeddings.
Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.
Add new MCP primitives (Tool, Resource, Prompt). Use when asked to add a new tool, resource, or prompt to the MCP server.
Use when executing implementation plans via dispatched subagents with code review between tasks.
Implement a new Packmind AI agent rendering/deployer pipeline (single-file or multi-file) with type and registry wiring, frontend UI/docs updates, and thorough unit/integration…
Merge agent-specific tool sets (MCP clients + fetched tools) into the parent context without disrupting the parent’s existing pool.
Use when the user asks to address Gemini review comments, handle gemini-code-assist bot feedback, triage Gemini's automated code review suggestions, or respond to…
Discovers and invokes agent skills. Use when starting a session or when you need to discover which skill applies to the current task.
Manage, troubleshoot, configure, analyze, and review AdGuard Home DNS server. Use when working with AdGuard Home, DNS blocking, ad blocking, network-wide filtering, DNS q — from…
Build production-ready AI agents using Google's Agent Development Kit with Claude integration, React patterns, multi-agent orchestration, and comprehensive tool libraries
Diagnose và fix các vấn đề liên quan đến Google ADK agents, tools, session state, multi-agent communication trong dự án MemRAG.
Build RAG (Retrieval-Augmented Generation) agents with Google ADK and Vertex AI RAG Engine. Use when implementing document Q&A, knowledge base search, or citation-backed…
Orchestrate teams of agents — DAG execution, routing, state sharing, failure recovery. Use when coordinating parallel agents in task pipelines with dependencies or distributing…
Optimize context usage for the session by reducing bloat, improving token efficiency, and focusing on relevant areas.
Audit corpus distribution by source type and repo; identify coverage gaps and underindexed topics
Manually improve corpus quality by adding missing docs and filling retrieval gaps
Detect and fix stale chunks (files that changed or were deleted since last indexing)
Use when working with Affinity CRM via MCP tools - find entities, manage workflows, log interactions, prepare briefings, find warm intros.
Vorstandsvertrag AG vorbereiten: §§ 84 ff. AktG, Bestellung und Anstellung trennen, Vergueng (fix, variabel, ESG-LTI), D and O Versicherung, Tantieme Caps nach VorstAG,…
AGB im Selektivvertrieb: AGB-Kontrolle §§ 305 ff. BGB im B2B, BGH-Klauselverbote, Verbots- und Konditionsklauseln, MFN-Klauseln nach Coty II, Vertragsstrafe-Bemessung.
Create Claude Desktop skills from descriptions, SOPs, or existing agents. Three modes - create from scratch, convert SOPs to skills, or migrate agents to skill format.
Guide du protocole Agent-to-Agent (A2A) de Google pour l'interopérabilité entre agents IA — découverte, communication et collaboration inter-agents.
Design Invocable Apex actions that return deterministic, agent-friendly errors instead of surfacing raw exceptions to the LLM.
Use when designing how an Agentforce agent extracts structured input parameters (slots) from a user's natural-language utterance to invoke an action.
Use when designing or reviewing Agentforce actions, including Flow actions, Apex invocable actions, prompt-template actions, action naming, input and output contracts,…
Add a new rule, convention, or instruction to the project's agent configuration. Analyzes the rule and helps decide placement: root CLAUDE.md (universal rules), docs/agents/ files…
Observabilité complète pour agents IA — distributed tracing, métriques custom, log correlation et dashboards de supervision.
Expert agent organizer specializing in multi-agent orchestration, team assembly, and workflow optimization.
2-layer parallel agent hierarchy. Layer 1 deploys 3-50+ agents, each with independent context. Layer 2 adds 2+ sub-agents per member. No upper limit on either layer.
Agent assistance skill that provides stuck detection, memory management, and session learning capabilities for AI agents
Validates agent configurations for model selection, tool permissions, focus areas, and approach quality.
Implement comprehensive audit logging and reporting for multi-agent systems. Covers event capture, structured logging, traceability, compliance reporting, forensic analysis, and…
Développement d'agents conversationnels avec Microsoft AutoGen. Création de group chats, agents spécialisés et workflows multi-agents avec exécution de code.