Superset Agent Standup
superset-sh/superset
Sweeps every Superset workspace, task and agent terminal to report what finished, what needs review and what is blocked, read-only, and can publish the digest as a page.
Multi-Agent group chat collaboration system inspired by DingTalk/Lark.
$ npx skills add aAAaqwq/AGI-Super-Team --skill agent-network -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aAAaqwq/AGI-Super-Team agent-network --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/agent-network .claude/skills/agent-network && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "agent-network" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/agent-network into .claude/skills/agent-network/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-network", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/agent-networkType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add aAAaqwq/AGI-Super-Team --skill agent-network -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aAAaqwq/AGI-Super-Team agent-network --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/agent-network .agents/skills/agent-network && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "agent-network" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/agent-network into .agents/skills/agent-network/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-network", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aAAaqwq/AGI-Super-Team --skill agent-network -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aAAaqwq/AGI-Super-Team agent-network --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/agent-network .cursor/skills/agent-network && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "agent-network" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/agent-network into .cursor/skills/agent-network/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-network", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/aAAaqwq/AGI-Super-Team.git --path skills/agent-network--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add aAAaqwq/AGI-Super-Team --skill agent-network -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aAAaqwq/AGI-Super-Team agent-network --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/agent-network .gemini/skills/agent-network && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "agent-network" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/agent-network into .gemini/skills/agent-network/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-network", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install aAAaqwq/AGI-Super-Team agent-networkInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add aAAaqwq/AGI-Super-Team --skill agent-network -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/agent-network .github/skills/agent-network && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "agent-network" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/agent-network into .github/skills/agent-network/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-network", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aAAaqwq/AGI-Super-Team --skill agent-network -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aAAaqwq/AGI-Super-Team agent-network --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/agent-network .opencode/skills/agent-network && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "agent-network" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/agent-network into .opencode/skills/agent-network/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-network", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
agent-networkMulti-Agent group chat collaboration system inspired by DingTalk/Lark.
Agent Network is an agent skill from aAAaqwq/AGI-Super-Team. Multi-Agent group chat collaboration system inspired by DingTalk/Lark. Enables AI agents to chat in groups, @mention each other, assign tasks, make decisions via voting, and collaborate. Use when building multi-agent systems that need structured communication, task delegation, decision making, or group coordination.
Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 18 other files, including scripts and reference files (for example `.clawhub/origin.json`, `_meta.json` and `references/ADVANCED.md`).
It sits in Productivity & Automation, covering Multi-agent orchestration, Messaging and chat bots and Task management. The repository describes itself as: An installable, cross-framework AI organization: C-suite agents, expert subagents, curated skills, independent review, and one-command setup across 18 AI client/runtime adapters. The licence is MIT.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 331ecd3. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 10 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Agent Network loads about 2k tokens when it runs, and up to ~6.4k if it reads all its reference files. Until then it costs about 83 tokens; SKILL.md has 309 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from aAAaqwq/AGI-Super-Team at commit 331ecd3, republished under its MIT licence (© aAAaqwq). 309 words, ~2,038 tokens.
.claude/skills/agent-network/SKILL.md (or your agent's skills folder). This skill also uses 14 other files; get the full folder from GitHub.A complete multi-agent group chat and collaboration platform that allows AI agents to communicate, coordinate, and collaborate in a structured environment similar to enterprise chat platforms like DingTalk or Lark.
from agent_network import AgentManager, GroupManager, MessageManager, TaskManager, DecisionManager, get_coordinator
# Initialize default agents
from agent_network import init_default_agents
init_default_agents()
# Get the coordinator
coordinator = get_coordinator()
# Register agents
coordinator.register_agent(agent_id=1)
coordinator.register_agent(agent_id=2)
# Create a group
group = GroupManager.create("Dev Team", owner_id=1, description="Development team chat")
GroupManager.add_member(group.id, agent_id=2)
# Send a message with @mention
MessageManager.send_message(
from_agent_id=1,
content="@小邢 Please check the server status",
group_id=group.id
)
# Assign a task
task = TaskManager.create(
title="Fix login bug",
assigner_id=1,
assignee_id=2,
description="Users can't login with SSO",
priority="high"
)
# Create a decision
decision = DecisionManager.create(
title="Adopt new database?",
description="Should we migrate to distributed database?",
proposer_id=1,
group_id=group.id
)
# Vote on decision
DecisionManager.vote(decision.id, agent_id=2, vote="for", comment="Agreed, better performance")agent_manager.py)Register and manage agents with online/offline status:
from agent_network import AgentManager
# Register new agent
agent = AgentManager.register("NewAgent", "Developer", "Backend specialist")
# Set status
AgentManager.go_online(agent.id)
AgentManager.go_offline(agent.id)
# Get online agents
online = AgentManager.get_online_agents()group_manager.py)Create groups and manage membership:
from agent_network import GroupManager
# Create group
group = GroupManager.create("Project Alpha", owner_id=1)
# Add members
GroupManager.add_member(group.id, agent_id=2)
GroupManager.add_member(group.id, agent_id=3)
# List members
members = GroupManager.get_members(group.id)
online_members = GroupManager.list_online_members(group.id)message_manager.py)Send messages with @mention support:
from agent_network import MessageManager
# Send message
msg = MessageManager.send_message(
from_agent_id=1,
content="Hello team!",
group_id=1
)
# @mention automatically detected
msg = MessageManager.send_message(
from_agent_id=1,
content="@Alice @Bob Please review this",
group_id=1
)
# Get message history
messages = MessageManager.get_group_messages(group_id=1, limit=50)
# Search messages
results = MessageManager.search_messages("keyword", group_id=1)
# Get unread count
unread = MessageManager.get_unread_count(agent_id=1)
inbox = MessageManager.get_agent_inbox(agent_id=1, only_unread=True)task_manager.py)Full task lifecycle:
from agent_network import TaskManager
# Create task
task = TaskManager.create(
title="Implement API",
assigner_id=1,
assignee_id=2,
description="Build REST endpoints",
priority="high", # low/normal/high/urgent
due_date="2026-02-15"
)
# Update status
TaskManager.start_task(task.id, agent_id=2)
TaskManager.complete_task(task.id, agent_id=2, result="All tests passed")
# Add comments
TaskManager.add_comment(task.id, agent_id=2, "50% complete")
# List tasks
all_tasks = TaskManager.get_all()
my_tasks = TaskManager.get_agent_tasks(agent_id=2, status="pending")decision_manager.py)Collaborative decision making:
from agent_network import DecisionManager
# Create proposal
decision = DecisionManager.create(
title="Use microservices?",
description="Should we refactor to microservices?",
proposer_id=1,
group_id=1
)
# Vote
DecisionManager.vote(decision.id, agent_id=2, vote="for", comment="Better scalability")
DecisionManager.vote(decision.id, agent_id=3, vote="against")
# Update status
DecisionManager.update_status(decision.id, "approved", updater_id=1)
# Check results
decision = DecisionManager.get_by_id(decision.id)
print(f"Pass rate: {decision.pass_rate}%")coordinator.py)High-level coordination with automatic message routing:
from agent_network import get_coordinator
coord = get_coordinator()
# Register with message handler
def my_handler(msg_dict):
print(f"Received: {msg_dict['content']}")
coord.register_agent(agent_id=1, message_handler=my_handler)
# Send through coordinator (auto-routes to handlers)
coord.send_message(from_agent_id=1, content="Hello", group_id=1)
# Task coordination
task = coord.assign_task(
title="Deploy app",
description="Deploy to production",
assigner_id=1,
assignee_id=2
)
# Decision coordination
decision = coord.propose_decision(
title="Release v2.0?",
description="Ready for release?",
proposer_id=1
)
coord.vote_decision(decision['id'], agent_id=2, vote="for")Interactive CLI for testing:
# Run demo
python demo.py
# Interactive CLI
python cli.py
# Commands in CLI:
# - Select agent to login
# - Enter groups to chat
# - Type /task to create tasks
# - Type /decision to create votes
# - Type @AgentName to mentionSix pre-configured agents:
| Agent | Role | Description |
|---|---|---|
| 老邢 (Lao Xing) | Manager | Overall coordination |
| 小邢 (Xiao Xing) | DevOps | Development and operations |
| 小金 (Xiao Jin) | Finance Analyst | Market analysis |
| 小陈 (Xiao Chen) | Trader | Trading execution |
| 小影 (Xiao Ying) | Designer | Design and content |
| 小视频 (Xiao Shipin) | Video | Video production |
SQLite database with tables:
agents - Agent profiles and statusgroups - Group definitionsgroup_members - Membership relationsmessages - Chat messages with typestasks - Task trackingtask_comments - Task discussionsdecisions - Decision proposalsdecision_votes - Voting recordsagent_inbox - Notification inboxUse with sessions_spawn for true multi-agent workflows:
# When a task is assigned, spawn a sub-agent
if new_task:
sessions_spawn(
agentId="xiaoxing",
task=new_task.description,
label=f"task-{new_task.task_id}"
)scripts/agent_network/ - Python modules__init__.py - Package exportsdatabase.py - SQLite managementagent_manager.py - Agent CRUDgroup_manager.py - Group managementmessage_manager.py - Messaging systemtask_manager.py - Task managementdecision_manager.py - Voting systemcoordinator.py - Central coordinatorscripts/cli.py - Interactive CLIscripts/demo.py - Demo scriptreferences/schema.sql - Database schemaassets/ - Templates (optional)See references/ADVANCED.md for:
© aAAaqwq, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 14 other files (scripts, references) in skills/agent-network of aAAaqwq/AGI-Super-Team.
Open the folder on GitHubat commit 331ecd3
Agent Network next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Agent Network this skillaAAaqwq/AGI-Super-Team | 105 | — | ~2k | Automated safety check: Pass | MIT | |
| Superset Agent Standupsuperset-sh/superset | 15k | — | ~712 | Automated safety check: Pass | Custom licence | |
| Pi Messenger Crewnicobailon/pi-messenger | 720 | — | ~3.7k | Automated safety check: Pass | None | |
| AgentRQ Supervisoragentrq/agentrq | 1.1k | — | ~2.7k | Automated safety check: Pass | AGPL-3.0 | |
| AI Fleet Project ExecutionSzotasz/marveen | 115 | — | ~14k | Automated safety check: Pass | MIT | |
| Omh Agent Boardrlaope/oh-my-hermes | 3.2k | — | ~1.9k | Automated safety check: Pass | MIT |
superset-sh/superset
Sweeps every Superset workspace, task and agent terminal to report what finished, what needs review and what is blocked, read-only, and can publish the digest as a page.
nicobailon/pi-messenger
Orchestrator reference for pi-messenger Crew planning, task management, configuration, and agent coordination.
agentrq/agentrq
Orchestrates work across specialized AgentRQ workspaces, breaking goals into tasks, assigning them to the right workspace agent, and tracking shared learning notes.
Szotasz/marveen
AI fleet project execution (orchestrator=PM, marketing agent, backend dev agent, video agent).
rlaope/oh-my-hermes
[omh] Coordinating several agents or profiles: coordinate multiple Hermes profiles or agents with task, handoff, heartbeat, blocker, and completion states.
Luciole-Studio/Misaka-Agent
Plan and run multi-agent video production pipelines. An agent skill from Luciole-Studio/Misaka-Agent.
aAAaqwq/AGI-Super-Team
Create SEO-optimized marketing content with consistent brand voice.
aAAaqwq/AGI-Super-Team
Advanced financial calculator with future value tables, present value, discount calculations, markup pricing, and compound interest.
aAAaqwq/AGI-Super-Team
Create distinctive, production-grade static sites with React, Tailwind CSS, and shadcn/ui — no mockups needed.
aAAaqwq/AGI-Super-Team
Tool discovery and shell one-liner reference for sysadmin, DevOps, and security tasks.
aAAaqwq/AGI-Super-Team
Publish and manage content on 知识星球 (zsxq.com). An agent skill from aAAaqwq/AGI-Super-Team.
aAAaqwq/AGI-Super-Team
Robust URL-to-Markdown extraction for OpenClaw workflows. An agent skill from aAAaqwq/AGI-Super-Team.
Categories
Multi-Agent group chat collaboration system inspired by DingTalk/Lark. Agent Network is an agent skill from aAAaqwq/AGI-Super-Team. Multi-Agent group chat collaboration system inspired by DingTalk/Lark.
Agent Network fits situations like: building multi-agent systems that need structured communication; task delegation; decision making; group coordination.
Run `npx skills add aAAaqwq/AGI-Super-Team --skill agent-network -a claude-code`. Or copy the skill folder (skills/agent-network in aAAaqwq/AGI-Super-Team) into .claude/skills/agent-network in your project. Claude Code loads it when a task matches its description.
Run `npx skills add aAAaqwq/AGI-Super-Team --skill agent-network -a codex`. Or copy the skill folder (skills/agent-network in aAAaqwq/AGI-Super-Team) into .agents/skills/agent-network in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aAAaqwq/AGI-Super-Team --skill agent-network -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agent-network, .gemini/skills/agent-network, .github/skills/agent-network and .opencode/skills/agent-network in your project.
Going by SKILL.md and its folder, Agent Network needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Agent Network is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2k tokens (SKILL.md is roughly 8.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.4k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Agent Network: Superset Agent Standup (superset-sh/superset, 15k stars), Pi Messenger Crew (nicobailon/pi-messenger, 720 stars), AgentRQ Supervisor (agentrq/agentrq, 1.1k stars) and AI Fleet Project Execution (Szotasz/marveen, 115 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
aAAaqwq (a GitHub user) maintains it in aAAaqwq/AGI-Super-Team, which has 105 GitHub stars. The repository holds 152 skills in this directory. The repository was last updated on September 27, 2026.
Source: aAAaqwq/AGI-Super-Team on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.