Orca CLI
stablyai/orca
Operate Orca-managed worktrees, folder contexts, terminals, repos, automations, artifacts, skill sharing, worktree comments, and Orca's embedded browser…
项目管理专家与产品经理在做项目决策、技术评审或商业策略制定时，当需要多视角碰撞以打破思维局限，请用此技能模拟多智能体真实会议辩论，一键生成包含决策结论、核心论据与风险提示的完整会议记录，让复杂决策高效落地！
Install Multi Agent Meeting
$ npx skills add anbeime/skill --skill multi-agent-meeting -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install anbeime/skill multi-agent-meeting --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/anbeime/skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/multi-agent-meeting/multi-agent-meeting .claude/skills/multi-agent-meeting && 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 "multi-agent-meeting" agent skill from https://github.com/anbeime/skill/tree/main/skills/multi-agent-meeting/multi-agent-meeting into .claude/skills/multi-agent-meeting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multi-agent-meeting", 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/anbeime/skill/tree/main/skills/multi-agent-meeting/multi-agent-meetingType 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 anbeime/skill --skill multi-agent-meeting -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install anbeime/skill multi-agent-meeting --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/anbeime/skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/multi-agent-meeting/multi-agent-meeting .agents/skills/multi-agent-meeting && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "multi-agent-meeting" agent skill from https://github.com/anbeime/skill/tree/main/skills/multi-agent-meeting/multi-agent-meeting into .agents/skills/multi-agent-meeting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multi-agent-meeting", 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 anbeime/skill --skill multi-agent-meeting -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install anbeime/skill multi-agent-meeting --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/anbeime/skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/multi-agent-meeting/multi-agent-meeting .cursor/skills/multi-agent-meeting && 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 "multi-agent-meeting" agent skill from https://github.com/anbeime/skill/tree/main/skills/multi-agent-meeting/multi-agent-meeting into .cursor/skills/multi-agent-meeting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multi-agent-meeting", 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/anbeime/skill.git --path skills/multi-agent-meeting/multi-agent-meeting--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 anbeime/skill --skill multi-agent-meeting -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install anbeime/skill multi-agent-meeting --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/anbeime/skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/multi-agent-meeting/multi-agent-meeting .gemini/skills/multi-agent-meeting && 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 "multi-agent-meeting" agent skill from https://github.com/anbeime/skill/tree/main/skills/multi-agent-meeting/multi-agent-meeting into .gemini/skills/multi-agent-meeting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multi-agent-meeting", 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 anbeime/skill multi-agent-meetingInstalls 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 anbeime/skill --skill multi-agent-meeting -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/anbeime/skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/multi-agent-meeting/multi-agent-meeting .github/skills/multi-agent-meeting && 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 "multi-agent-meeting" agent skill from https://github.com/anbeime/skill/tree/main/skills/multi-agent-meeting/multi-agent-meeting into .github/skills/multi-agent-meeting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multi-agent-meeting", 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 anbeime/skill --skill multi-agent-meeting -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install anbeime/skill multi-agent-meeting --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/anbeime/skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/multi-agent-meeting/multi-agent-meeting .opencode/skills/multi-agent-meeting && 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 "multi-agent-meeting" agent skill from https://github.com/anbeime/skill/tree/main/skills/multi-agent-meeting/multi-agent-meeting into .opencode/skills/multi-agent-meeting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multi-agent-meeting", 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.
Facts
- Skill name
multi-agent-meeting- GitHub stars
- 7.7k
- Token cost
- ~533 tokens
- SKILL.md length
- 117 words
- Files
- 8 (incl. references, assets)
- Skills in repo
- 62
- Repo updated
- First seen
- Licence
- None found
At a glance
项目管理专家与产品经理在做项目决策、技术评审或商业策略制定时，当需要多视角碰撞以打破思维局限，请用此技能模拟多智能体真实会议辩论，一键生成包含决策结论、核心论据与风险提示的完整会议记录，让复杂决策高效落地！
- Works in 4 steps: 确定会议主题和目标 → 设计智能体角色 → 执行会议流程 → …
- Tasks that involve Multi-agent orchestration
- SKILL.md covers 任务目标, 操作步骤, 资源索引 and 使用示例, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Multi Agent Meeting is an agent skill from anbeime/skill. 项目管理专家与产品经理在做项目决策、技术评审或商业策略制定时，当需要多视角碰撞以打破思维局限，请用此技能模拟多智能体真实会议辩论，一键生成包含决策结论、核心论据与风险提示的完整会议记录，让复杂决策高效落地！
Its SKILL.md is about 530 tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including reference files and assets (for example `assets/meeting-templates/customer-insight-analysis.md`, `assets/meeting-templates/product-feature-review.md` and `assets/meeting-templates/product-pricing-strategy.md`).
It sits in Agent Workflows, covering Multi-agent orchestration. The repository describes itself as: 收录最全、更新最快的技能Skills商店：精选原创技能包（涵盖文档处理、内容创作、编程开发、机器学习、自动化工作流），全部打包好可直接安装使用！同时自动抓取GitHub上万个Skills项目，按分类、更新时间、Star数量整理。The most comprehensive and frequently updated AI Agent skill…
When your agent uses it
- Tasks that involve Multi-agent orchestration
Example prompts
- “/multi-agent-meeting”
Workflow steps
4 steps, taken from the step headings in SKILL.md.
- 确定会议主题和目标
- 设计智能体角色
- 执行会议流程
- 输出会议记录
What it can do on your machine
Read from SKILL.md and the folder at commit f7be2c8. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Multi Agent Meeting loads about 533 tokens when it runs, and up to ~3.8k if it reads all its reference files. Until then it costs about 31 tokens; SKILL.md has 117 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.
Safety
Auto-check passed
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); files beside SKILL.md are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 117 words (~533 tokens).
- name
- multi-agent-meeting
Files
SKILL.md and 7 other files (references, assets) in skills/multi-agent-meeting/multi-agent-meeting of anbeime/skill.
- SKILL.md
- assets/meeting-templates/customer-insight-analysis.md
- assets/meeting-templates/product-feature-review.md
- assets/meeting-templates/product-pricing-strategy.md
- assets/meeting-templates/project-risk-assessment.md
- assets/meeting-templates/tech-architecture-decision.md
- references/agent-roles.md
- references/meeting-record-format.md
Open the folder on GitHubat commit f7be2c8
Compare with similar skills
Multi Agent Meeting 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 |
|---|---|---|---|---|---|---|
| Multi Agent Meeting this skillanbeime/skill | 7.7k | — | ~533 | Automated safety check: Pass | None | |
| Orca CLIstablyai/orca | 88k | 2 repos | ~593 | Automated safety check: Pass | MIT | |
| Paseo Advisor Second Opiniongetpaseo/paseo | 20k | 1 repos | ~756 | Automated safety check: Pass | Custom licence | |
| O2 Review Loopopenobserve/openobserve | 22k | — | ~3.7k | Automated safety check: Pass | AGPL-3.0 | |
| Paseo Committeegetpaseo/paseo | 20k | 1 repos | ~496 | Automated safety check: Pass | Custom licence | |
| Mission Control Agent APIbuilderz-labs/mission-control | 6.3k | — | ~2.1k | Automated safety check: Pass | MIT |
Similar skills
Paseo Advisor Second Opinion
getpaseo/paseo
Launches one separate agent through Paseo to give a second opinion on the current task, with a self-contained briefing and no permission to edit files.
O2 Review Loop
openobserve/openobserve
Splits a change into planner, coder and independent reviewer roles: you confirm a spec, a subagent implements it, and a separate reviewer checks each round's local WIP commit.
Paseo Committee
getpaseo/paseo
Forms a two-agent committee with contrasting profiles to analyze a stuck problem in parallel, reconcile their views and return a consensus plan without editing files.
Mission Control Agent API
builderz-labs/mission-control
Teaches an agent to use the Mission Control dashboard API: register, send heartbeats, fetch assigned tasks, report progress and disconnect, with API key auth.
Paseo Agent Handoff
getpaseo/paseo
Hands off the current task, including context, decisions and failed attempts, to a fresh agent through Paseo by writing a self-contained briefing prompt and launching that agent.
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Related
Categories
Questions about Multi Agent Meeting
What does Multi Agent Meeting do?
项目管理专家与产品经理在做项目决策、技术评审或商业策略制定时，当需要多视角碰撞以打破思维局限，请用此技能模拟多智能体真实会议辩论，一键生成包含决策结论、核心论据与风险提示的完整会议记录，让复杂决策高效落地！. Multi Agent Meeting is an agent skill from anbeime/skill.
When should I use Multi Agent Meeting?
Multi Agent Meeting fits situations like: tasks that involve Multi-agent orchestration.
How do I install Multi Agent Meeting in Claude Code?
Run `npx skills add anbeime/skill --skill multi-agent-meeting -a claude-code`. Or copy the skill folder (skills/multi-agent-meeting/multi-agent-meeting in anbeime/skill) into .claude/skills/multi-agent-meeting in your project. Claude Code loads it when a task matches its description.
How do I install Multi Agent Meeting in Codex?
Run `npx skills add anbeime/skill --skill multi-agent-meeting -a codex`. Or copy the skill folder (skills/multi-agent-meeting/multi-agent-meeting in anbeime/skill) into .agents/skills/multi-agent-meeting in your project. Codex loads it when a task matches its description.
Can I use Multi Agent Meeting in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add anbeime/skill --skill multi-agent-meeting -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/multi-agent-meeting, .gemini/skills/multi-agent-meeting, .github/skills/multi-agent-meeting and .opencode/skills/multi-agent-meeting in your project.
What does Multi Agent Meeting need to run?
SKILL.md names no scripts, command-line tools or credentials: Multi Agent Meeting is instructions for the agent only.
Does Multi Agent Meeting access the network?
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.
Is Multi Agent Meeting safe to install?
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. Review the folder before installing.
What licence does Multi Agent Meeting use?
No licence was found for Multi Agent Meeting or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Multi Agent Meeting use?
About 533 tokens (SKILL.md is roughly 2.1k 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 3.2k tokens, read only when the agent opens those files.
What are the alternatives to Multi Agent Meeting?
Skills that share tags, products or a category with Multi Agent Meeting: Orca CLI (stablyai/orca, 88k stars), Paseo Advisor Second Opinion (getpaseo/paseo, 20k stars), O2 Review Loop (openobserve/openobserve, 22k stars) and Paseo Committee (getpaseo/paseo, 20k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Multi Agent Meeting?
anbeime (a GitHub user) maintains it in anbeime/skill, which has 7,706 GitHub stars. The repository holds 62 skills in this directory. The repository was last updated on October 8, 2026.
Source: anbeime/skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.