跳到正文
cccskills
免费在 GitHub 公开

agent-manager-skill

Coordinate multiple local command-line agents through tmux sessions in an authorized workspace. This guide covers starting and stopping agents, assigning tasks, monitoring logs, and checking results, while requiring a separately installed and reviewed manager runtime.

中文简介正在准备中。当前显示英语简介。

原文查看原文说明

Manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) in an explicitly authorized workspace.

查看安装方法

适用场景

  • Running multiple local agents in parallel
  • Assigning tasks to configured agents
  • Following agent logs and output
  • Checking task results before stopping agents

包含的文件(1)

  • SKILL.md2.5 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Agent Manager Skill

When to Use

Use this skill when you need to:

  • run multiple local CLI agents in parallel (separate tmux sessions)
  • start/stop agents and tail their logs
  • assign tasks to agents and monitor output
  • prepare a scoped plan for repeated agent work only when scheduling is explicitly requested

Prerequisites

This AAS entrypoint does not bundle the manager runtime. The historical upstream URL was unavailable during this review; do not execute its examples until an actual reviewed installation and CLI help confirm them. The original install option is retained as attribution, not an automatic setup step:

git clone https://github.com/fractalmind-ai/agent-manager-skill.git

Historical Upstream Command Shapes

The clone directory above differs from the agent-manager/ path below. Resolve the actual installed script path rather than assuming these examples work from the current directory. Employee IDs and team files are examples and must be replaced with verified workspace configuration.

python3 agent-manager/scripts/main.py doctor
python3 agent-manager/scripts/main.py list
python3 agent-manager/scripts/main.py start EMP_0001
python3 agent-manager/scripts/main.py monitor EMP_0001 --follow
python3 agent-manager/scripts/main.py assign EMP_0002 <<'EOF'
Follow teams/fractalmind-ai-maintenance.md Workflow
EOF

Bounded Operation

List the actual configured agents and existing tmux sessions first. Starting, assigning or stopping an agent requires authorization for that task and target. Preserve unrelated sessions, record the specific session/PID and inspected command, and redact logs before sharing. A session being alive does not prove its task completed; verify the requested result. No cron installer or automatic scheduler is bundled, so this guide does not claim cron support.

Notes

  • Requires tmux and python3.
  • Agents are configured under an agents/ directory (see the repo for examples).

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

Assess a new or existing AI project by examining its code, goals, and constraints. Recommend skills confirmed to exist in the available registry, then outline tasks and implementation phases with dependencies, completion criteria, and checks.

中文简介正在准备中。当前显示英语简介。

  • Planning the first steps of a new AI project
  • Assessing technical issues in an existing project
  • Selecting relevant skills from an available registry
sickn33/agentic-awesome-skills4.8万2026年10月19日 更新

007

免费

Review code and infrastructure for security risks, map potential threats, and plan stronger defenses. The skill covers OWASP checks, attack and defense exercises, and incident response, with validation required for each environment.

中文简介正在准备中。当前显示英语简介。

  • Reviewing code and infrastructure security
  • Mapping threats with STRIDE or PASTA
  • Planning stronger security settings
sickn33/agentic-awesome-skills4.8万2026年10月19日 更新

Turn a repeatable task into an Andru.ia skill with clear inputs, outputs, examples, and limits. Draft SKILL.md, check the folder structure and required validations, and prepare a pull request describing the changes for review.

中文简介正在准备中。当前显示英语简介。

  • Creating a skill for a repeatable task
  • Improving an existing skill’s examples and limits
  • Validating skill files and preparing a pull request
sickn33/agentic-awesome-skills4.8万2026年10月19日 更新

Prepare an industry briefing once a project's sector is defined. It covers sector context, potentially applicable regulations, familiar interface patterns, technology choices, and risks, while separating verified evidence from hypotheses and questions requiring further review.

中文简介正在准备中。当前显示英语简介。

  • Researching industry requirements before product design
  • Checking regulations for a project's jurisdiction
  • Choosing interface patterns familiar to target users
sickn33/agentic-awesome-skills4.8万2026年10月19日 更新

Create presentation drafts from text, outlines, or documents through the 2slides API. Match a reference image's style, choose themes, add AI voice narration, and export slide images or audio for review and use.

中文简介正在准备中。当前显示英语简介。

  • Create a presentation from text or an outline
  • Summarize a document into slides
  • Match slide styling to a reference image
sickn33/agentic-awesome-skills4.8万2026年10月19日 更新

Plan a 360-degree or peer feedback process and create empty response templates from confirmed requirements. Produces consistent CSV, SQL, JSON Schema, or Notion property mappings while keeping visibility choices and scoring configuration separate.

中文简介正在准备中。当前显示英语简介。

  • Plan an anonymous peer feedback process
  • Create a CSV template for feedback responses
  • Align feedback fields across SQL and JSON Schema
sickn33/agentic-awesome-skills4.8万2026年10月19日 更新

查看 sickn33 的全部技能

报告此技能的问题