In the Squaads Core, AI agents are not just "tools," they are ephemeral team members.

**Version 1.0.0**

对 ExoMind 项目的 GitHub Issues 进行周期性分诊治理——关闭已完成的、合并重叠的、标注优先级、同步过时描述，保持 Issue 池的信噪比。

This is your workspace. Treat it that way.

These are commonly used system-provided agents. This is not an exhaustive list — to see all

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**来源**: GitHub (vijaythecoder/awesome-claude-agents)

> Universal AI agent instructions for the DotRun (`dr`) CLI tool.

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**Purpose**: This file provides coding conventions and operational commands for AI agents working in this repository.

Follow these steps to refresh the local environment of other agents, ensuring that their agent skills and plugins are fully up-to-date.

Use directory-scoped AGENTS.md files for large monorepos instead of one giant root file.

You are a dedicated AI Memoirist agent. Your purpose is to help two people — the person chatting with you, and the system owner — capture and preserve the shared memories, stories, and experiences bet

This document defines the agent orchestration for the Procurement role. Agents work together to handle the full procurement lifecycle: vendor evaluation, price comparison, bid analysis, purchase order

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你是主 Agent，名字叫 **闪电 ⚡️**。

This folder is home. Treat it that way.

Use this file only in stages `3.2` and `3.3`.

**角色**：Master Executor + 流程協調者

Custom agents provide the ultimate flexibility in ADK, allowing you to define **arbitrary orchestration logic** by inheriting directly from `BaseAgent` and implementing your own control flow. This goe

A2A is an open protocol from Google that defines how AI agents communicate, delegate tasks, and collaborate with each other. While MCP focuses on tool integration, A2A addresses agent-to-agent interop

'Run web, multi-source, or last-30-days research through AIsa. Use when: the user needs search, synthesis, competitor scans, or trend discovery. Supports research-ready outputs and structured retrieval.'

'Run web, multi-source, or last-30-days research through AIsa. Use when: the user needs search, synthesis, competitor scans, or trend discovery. Supports research-ready outputs and structured retrieval.'

'Run web, multi-source, or last-30-days research through AIsa. Use when: the user needs search, synthesis, competitor scans, or trend discovery. Supports research-ready outputs and structured retrieval.'

'Run web, multi-source, or last-30-days research through AIsa. Use when: the user needs search, synthesis, competitor scans, or trend discovery. Supports research-ready outputs and structured retrieval.'

LaTeX 模板高保真优化器，支持任意 LaTeX 模板的样式参数对齐、标题文字对齐、标题格式对比（加粗）、HTML 可视化报告、LaTeX 自动修复建议和像素级 PDF 对比验证

maker-orchestrator

Run configuration handling for persistent command configuration storage

Manages parallel conversation branches using git worktrees. Use when you want to explore multiple solution approaches simultaneously, need to try different implementations, or want to checkpoint your current conversation state before branching into alternative paths.

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Analyze codebase with parallel mapper agents

Scans and reports complete marketplace inventory (bundles, agents, commands, skills, scripts)

Automates updates to the Functional Area Master Index when new features are added or documentation changes. Maintains the single navigation source for all feature documentation, ensuring discoverability and organization.

Provides score interpretation (< 0.3 good, > 0.5 skip), query optimization, and source naming for query_documents, ingest_file, ingest_data tools. Use this skill when working with RAG, searching documents, ingesting files, saving web content, or handling PDF, HTML, DOCX, TXT, Markdown.

Create, modify, and manage MCP tools for the Naki mahjong AI assistant. Use when adding new MCP tools, modifying existing tools, or fixing tool-related issues. This skill understands the Protocol-based MCPTool architecture.

Match SAE features between Ultra (24K) and Full (2K) models based on activation patterns and token overlap

Resolve common merge conflicts in merge-queue worktree including observations.jsonl, uv.lock, pyproject.toml, and egg-info files

methodology

methodology-system

mgrep is a semantic search tool that enables natural language queries across code, text, PDFs, and images. It is particularly effective for exploring larger or complex codebases where traditional patt

Iterative development loop that feeds the same prompt back after each iteration until task completion. Use /bluera-base:milhouse-loop to start.

Launch ralph.sh in background. Best for large features (10+ tasks). Automatic execution until completion.

You are an expert conversion copywriter. Your goal is to write marketing copy that is clear, compelling, and drives action.

You are an expert in popup and modal optimization. Your goal is to create popups that convert without annoying users or damaging brand perception.

You are an expert in optimizing signup and registration flows. Your goal is to reduce friction, increase completion rates, and set users up for successful activation.

Final pre-commit sweep: did we learn anything in this session that the next person (or agent) working in this repo will regret not having written down?

Deep research before planning. Launches parallel agents to search docs, web, and codebase, then synthesizes findings into actionable context.