Agents & Orchestration

Agents for UI/UX design, accessibility, and user experience optimization

Five-agent meta-orchestration kit from operator-kit: design, build, scout, research, and critic specialists

Use acpx as a headless ACP CLI for agent-to-agent communication, including prompt/exec/sessions workflows, session scoping, queueing, permissions, output formats, system-prompt overrides, and multi-agent flows authored with defineFlow/decision/decisionEdge.

Expert agents for cryptocurrency trading, DeFi strategies, and market analysis

Expert agents for specific programming languages (Python, Go, Rust, etc.)

OpenGAP — the Git Agent Protocol: a framework-agnostic, git-native standard for defining AI agents

Build AG2 (AutoGen) multi-agent systems with slash commands: scaffold agents, wire workflows, create tools, and review code

Agents for business analysis, financial modeling, and KPI tracking

Manage the user's agent-skill library via the local skills-manager-cli — install, update, remove, enable/disable, sync, search, adopt, and tag skills in a central library that's shared across every installed agent (Claude Code, Cursor, Codex, Gemini CLI, Windsurf, etc.). Use this whenever the user wants to install or find or update or remove or list a skill, see what skills they have, sync skills across agents, adopt skills already installed elsewhere, or generally manage their skill library. Prefer this over find-skills when skills-manager-cli is on PATH, because routing installs through the central library is the only way subsequent update and sync work — direct npx skills add installs cannot be updated or shared across agents. Triggers include "install/add a skill", "find a skill for X", "is there a skill that does Y", "update my skills", "remove/uninstall this skill", "list/show my skills", "what skills do I have", "sync skills", "manage skills", "skill library".

Agents for writing, formatting, and validating documentation and technical content

Expert agents for software architecture, backend development, and system design

Orchestrate the full edge research pipeline from candidate detection through strategy design, review, revision, and export. Use when coordinating multi-stage edge research workflows end-to-end.

Agents for content marketing, customer support, and sales automation

Agents for multi-agent orchestration, MCP tooling, and agentic workflows

Generate and prioritize US equity long-side edge research tickets from EOD observations, then export pipeline-ready candidate specs for trade-strategy-pipeline Phase I. Use when users ask to turn hypotheses/anomalies into reproducible research tickets, convert validated ideas into strategy.yaml + metadata.json, or preflight-check interface compatibility (edge-finder-candidate/v1) before running pipeline backtests.

Specialized agents for blockchain development, smart contracts, and Web3 applications

🇫🇷 Skills pour agents IA spécialisés dans la bureaucratie française : Comptable, Notaire, ...

🇫🇷 Skills pour agents IA spécialisés dans la bureaucratie française : Comptable, Notaire, ...

Send a direct message to a user OR broadcast to all subscribed admins via their default channel (currently Telegram). Also looks up users when a specific person is named. Trigger when the user says "let me know when…", "DM me", "send X to <name>", "tell <name> that…", "notify the admins", "alert everyone", "broadcast this", "let the team know", "tell all admins", or asks "who are the users?", "list users".

🇫🇷 Skills pour agents IA spécialisés dans la bureaucratie française : Comptable, Notaire, ...

🇫🇷 Skills pour agents IA spécialisés dans la bureaucratie française : Comptable, Notaire, ...

Use to spawn or check on long-running background agent jobs (each launches a new Docker agent container that opens a PR when done). Trigger when the user says "create a background job", "spawn an agent", "kick off a job", "run this in the background", "check job status", or asks "what's the status of job <id>".

🇫🇷 Skills pour agents IA spécialisés dans la bureaucratie française : Comptable, Notaire, ...

🇫🇷 Skills pour agents IA spécialisés dans la bureaucratie française : Comptable, Notaire, ...

Turn any workflow into reusable AI agent skills that install on 17 platforms — Claude Code, Copilot, Cursor, Windsurf, Codex, Gemini, Kiro,…

Multi-agent YAML workflow engine — 211 AI roles, auto DAG parallelism, zero code. One sentence → multiple AI roles collaborate → complete plan in minutes. 10 LLM providers, 7 need no API key.

Apify MCP Server

Discovers, searches, and installs skills from multiple AI agent skill marketplaces (400K+ skills) using the SkillKit CLI. Supports browsing official partner collections (Anthropic, Vercel, Supabase, Stripe, and more) and community repositories, searching by domain or technology, and installing specific skills from GitHub. Use when the user wants to find, browse, or install new agent skills, plugins, extensions, or add-ons; asks 'is there a skill for X' or 'find a skill for X'; wants to explore a skill store or marketplace; needs to extend agent capabilities in areas like React, testing, DevOps, security, or APIs; or says 'browse skills', 'search skill marketplace', 'install a skill', or 'what skills are available'.

TAKT Agent Koordination Topology - Define how AI agents coordinate, where humans intervene, and what gets recorded — in YAML

Workflow control for AI coding agents

Agent-first screenshots — an agent drives the real app via CDP and produces clean, defect-free product screenshots (newsletters, landing pages, social, decks, PR). Dual-channel verification (DOM + pixels + vision) in a capture loop. Use for any "take/redo screenshots of the app" task.

MCP server for SearXNG integration

A middleware to provide an openAI compatible endpoint that can call MCP tools.

Autonomous task execution driven by task documents from /task-alignment (living under ~/.myagents/tasks/<taskId>/). Reads task.md as the goal, decomposes work, delegates to subagents when appropriate, runs independent verification, and delivers results. Acts as a UserProxy Agent — the human's representative during autonomous execution. Use when the user dispatches a task from the 任务 panel or explicitly wants to start execution. Trigger phrases include '/task-implement', 'start the task', 'go ahead and implement', 'execute the plan', or when the user confirms alignment documents and says something like 'looks good, go'.

把用户的可复用需求封装成标准化的 Agent-CLI 工具，并用 myagents tool add 注册进 MyAgents 工具注册表——注册后所有未来会话（builtin / Claude Code / Codex / Gemini 全 runtime）的 AI 都会在 system prompt 里自动发现它。触发场景：(1) 用户说「把 XX 封装成工具」「做成一个工具」「注册个工具」「写个 CLI」「以后能直接用」；(2) 用户描述一个会反复出现的自动化需求——文档/文件批量处理、调用某个云 API、用某个多模态大模型做图像/视频理解等，即使没说"工具"两个字；(3) 你发现自己第二次为同类需求写几乎一样的脚本——这时要主动提议把它升格为注册工具，不要等用户开口。反向边界：一次性任务就地解决、不铸工具；接入现成的 MCP server 用 myagents mcp，不归这里。

Container-side agent runner for HappyClaw

Alignment conversation starting from a 想法/idea. Co-decides with the user whether the idea should be acted on directly in the current session, or fixed into a formal Task for independent dispatch (one-off or recurring). Handles lightweight 'do it now while we talk', heavyweight 'define precisely, run later or on a schedule', and 'just help me think about this' — all on the same skill. Use when the user arrives via the 想法 panel's 'AI 讨论' button (parameter dictionary in the first message), or says 'let's think this through', 'help me plan this', 'I want to explore X', 'I have an idea', '/task-alignment'. Also use proactively when a user jumps into a complex task without defining scope or success criteria — pause, align, and help them pick the right vessel (this session vs. a task).

Expert-level Home Assistant configuration management: deploy workflows, SSH/hass-cli access, automation verification, and Lovelace dashboard development

MCP Client for Ollama - A client for connecting to Model Context Protocol servers using Ollama

Use when building with the yahoo-finance2 TypeScript/Deno/npm library, using its Yahoo Finance data modules, CLI, or MCP server, or contributing to the yahoo-finance2 repository including modules, validation schemas, cached fixtures, and npm/JSR build output.

Use the mcpc CLI to work with MCP (Model Context Protocol) servers from the shell - connect to a server as a persistent session, then list and call tools, read resources, get prompts, and run async tasks. Use --json for scripting and code mode. Reach for this whenever interacting with MCP servers, calling MCP tools, or accessing MCP resources programmatically.

Zero-dependency planning + execution with .flow/ task tracking and Ralph autonomous mode (multi-model review gates). Worker subagent per task for context isolation. Prime assesses 8 pillars (48 criteria) with GitHub API integration. Includes 21 subagents, 24 commands, 28 skills.

Agent orchestration harness for Claude Code — campaign persistence, fleet coordination, intent routing

MCP server for interacting with your LINE Official Account

Review diffs, files, and documents with inline annotations in a TUI overlay

Build and run autonomous AI agents with OpenClaw, Hermes, multiple model providers, orchestration, delegation, memory, skills, schedules, and chat connectors.

Iteratively refine product specs through multi-model debate until consensus. Claude actively participates alongside GPT, Gemini, Grok, and other models. Includes interview mode, early agreement verification, and optional Telegram integration.

A MCP server for remote MacOS control