Results for “agent-to-agent”

Audits a project's agent configuration files, establishes a source-of-truth skills directory, normalizes naming, and generates bridge files to make the workspace consistent across Claude Code, Codex, Grok, and generic Agents.

Generates a comprehensive AGENTS.md file at the repository root to provide AI coding agents with project context, setup commands, development workflows, testing instructions, and code style guidelines.

Check any AI agent codebase against the OWASP Agentic Security Initiative (ASI) Top 10 risks, scanning for controls and generating a compliance report.

Gives AI agents a virtual pet with a REST API, real-time hunger, permanent death, and 73+ species to care for.

`analysis-agent`/`task-agent`/`review-agent`: discover source of truth, candidate owner, and change surface before planning; hand known candidates to impact inspection.

Progressively refines context retrieval in multi-agent workflows to solve the subagent context problem.

Build, deploy, and manage continuous AI agents using a visual workflow editor or development toolkit.

The "Agents" MCP tiles — the admin-mcp gateway itself, the Gas Town coding crew, the Intelliverse platform gateway (~1300 tools), and the Content Factory agent MCP. Use for meta-work — discovering tools, dispatching coding agents, or driving platform APIs.

Designs identity, authentication, and trust verification systems for autonomous AI agents operating in multi-agent environments. Ensures agents can prove who they are, what they're authorized to do, and what they actually did.

Use acpx as a headless ACP CLI for agent-to-agent communication, always inside an isolated SubAgent. Use when running coding agents through acpx, managing persistent ACP sessions, queueing prompts, consuming structured agent output from scripts, comparing the same prompt across multiple agents, or composing multi-agent workflows with defineFlow/decision/decisionEdge. Never invoke the claude adapter (nested-instance blacklist).

Build voice AI agents with natural conversations, multiple LLM providers, custom tools, and easy web embedding.

`analysis-agent`/`task-agent`/`review-agent`: use when Rust changes cross ownership, unsafe/FFI, panic, cancellation, or Send/Sync boundaries; skip tool-only work.

Uses two independent review agents to verify output quality, requiring both to pass before shipping.

Agent-to-agent marketplace with escrow payments. Use this skill when you want to list services, hire other agents, browse available services, create escrows, or manage transactions on MoltList.

Design multi-agent systems with context isolation, supervisor or swarm coordination, explicit handoffs, parallel execution, and decision frameworks for when multiple agents are justified.

This skill should be used when the user asks to "/do-agent", asks for "Execute complex tasks using multi-agent architecture with context protection", or needs the workflow previously provided by the /do-agent slash command.

Build persistent agents on Azure AI Foundry using the Microsoft Agent Framework Python SDK, with support for function tools, hosted tools, MCP servers, conversation threads, and streaming responses.

Generate tailored AI agent instruction files for VS Code Copilot and other coding agents, using AgentRC to analyze your codebase and produce flat or nested instruction files with optional per-area scoping.

Compares coding agents head-to-head on reproducible tasks, measuring pass rate, cost, time, and consistency.

Automatically measures whether coding agents follow skills, rules, or agent definitions by generating scenarios at multiple prompt strictness levels, running agents, classifying tool calls, and reporting compliance rates with full timelines.

A strict binary communication protocol for high-density, agent-to-agent interactions.

Creates multi-agent AI systems with AutoGen, enabling agent conversations, tool use, and group chats.

Guides building original LangGraph agents for Warden Protocol, from setup to deployment and publishing in Warden Studio.

Defines a protocol for agent-to-agent discovery, authentication, and synchronization in decentralized networks, covering routing, handshakes, relays, and mesh governance.

Writes unit, smoke, and e2e tests for AI agents, covering tools, instructions, routing, citations, and guardrails.

`analysis-agent`/`task-agent`/`review-agent`: use when C/C++ changes cross ownership, UB, ABI/FFI, exception, concurrency, or target-build boundaries; skip tool-only work.

Scans AI agents, MCP servers, and skills for security vulnerabilities from the command line, detecting prompt injections, tool poisoning, toxic flows, malware payloads, and credential handling issues across 15+ risk categories.

Create cross-platform agent skills from workflow descriptions. Activates when users ask to create an agent, automate a repetitive workflow, create a custom skill, or need advanced agent creation. Triggers on phrases like create agent for, automate workflow, create skill for, every day I have to, daily I need to, turn process into agent, need to automate, create a cross-platform skill, validate this skill, export this skill, migrate this skill. Supports single skills, multi-agent suites, transcript processing, template-based creation, interactive configuration, cross-platform export, and spec validation.

Design n8n AI agents with best practices for node selection, sub-node wiring, tool design, structured output, and memory management.

Compare coding agents head-to-head on reproducible tasks with pass rate, cost, time, and consistency metrics.

Build multi-agent pipelines with CrewAI — define Agents with roles/goals/backstory, assemble them into a Crew, assign Tasks sequentially or in parallel, and wire LLM + tools per agent.

Use `analysis-agent` to analyze permissions, secrets, sensitive data, trust boundaries, and injection; `task-agent` to implement controls; and `review-agent` to assess evidence. Skip self-review and no-trust-impact work.

Manage custom Agent resources on the Gemini Enterprise Agent Platform via REST API, including creation, configuration, listing, updating, and deletion with support for files, skills, and tools.

Writing standards for any document an AI agent consumes — a skill, a CLAUDE.md/AGENTS.md, or a doc reached by a pointer. Use when creating or editing a skill, or writing/editing CLAUDE.md, AGENTS.md, or any reference doc meant to be read by an agent rather than a human alone.

Create and manage persistent AI agents with threads, messages, runs, and tools using the Azure SDK for Java.

Enables Hermes Agent to read X/Twitter posts, explore public data, and run explicitly gated tweet actions through the Xquik integration.