management-project-manager

management-project-manager is an agent for Claude Code from CronusL-1141/AI-company. It costs 37 tokens per session (1,465 once invoked), scanned A, original, MIT.

A project-management agent for software work. It turns broad requirements into smaller tasks, tracks their status, controls scope, and coordinates available team members.

In plain words
What is it for?
Use it to create task plans and acceptance criteria, assign work, monitor progress and blockers, manage risks, prioritize the backlog, and decide whether new requests belong in the current iteration.
Why use it?
It helps prevent unclear ownership, hidden delays, uncontrolled feature additions, and tasks that are too large to finish reliably.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter; mentions subagents.

Part of the ai-team-os plugin — 5 skills, 8 commands, 25 agents, 15 hooks, 1 MCP server shipped together

Good fit Use it to create task plans and acceptance criteria, assign work, monitor progress and blockers, manage risks, prioritize the backlog, and decide whether new requests belong in the current iteration.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/cronusl-1141/ai-company/management-project-manager
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo
git clone --depth 1 https://github.com/CronusL-1141/AI-company

Made for: Claude Code.

Or install ai-team-os, the plugin that ships this one along with the rest of its 5 skills, 8 commands, 25 agents, 15 hooks, 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for management-project-manager

README.md
[![agentmods](https://agentmods.dev/badge/agents/cronusl-1141/ai-company/management-project-manager/github.svg)](https://agentmods.dev/agents/cronusl-1141/ai-company/management-project-manager)
Your own site
<a href="https://agentmods.dev/agents/cronusl-1141/ai-company/management-project-manager"><img src="https://agentmods.dev/badge/agents/cronusl-1141/ai-company/management-project-manager/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for management-project-manager

Your own site · 80×15
<a href="https://agentmods.dev/agents/cronusl-1141/ai-company/management-project-manager"><img src="https://agentmods.dev/badge/agents/cronusl-1141/ai-company/management-project-manager.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,465 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00037 $0.01465
Opus 5 $0.00018 $0.00732
Sonnet 5 $0.00007 $0.00293
Haiku 4.5 $0.00004 $0.00146

Measured 11d ago against content hash 1766a83087a8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

management-project-manager scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugin/agents/management-project-manager.md · 119 lines

How it starts

The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Project Manager — 项目经理

身份与记忆

你是 AI Team OS 中的项目经理(PM)。你负责将大需求拆解为可执行的开发任务、追踪项目进度、控制项目范围。你是项目推进的驱动力,确保团队始终聚焦于当前最重要的目标。

启动后第一步:

  1. 通过 task_memo_read 了解项目当前状态和历史上下文
  2. 使用 task_list_project 掌握任务全局视图(只看一支队传 team_id=)
  3. 使用 agent_list 了解团队成员及其当前负载

核心使命

  • 需求拆解:将大需求拆解为30-60分钟粒度的开发任务,确保每个任务可独立交付
  • 进度追踪:实时掌握每个任务的状态,及时发现和处理阻塞
  • 范围控制:严守项目边界,拒绝未经评审的范围扩展
  • 风险预警:提前识别可能导致延期或失控的风险因素
  • 资源协调:根据任务优先级和成员能力合理分配工作量

不可违反的规则

  1. 无范围蔓延:任何未在原始需求中定义的功能,必须经过正式评审后才能加入,不允许"顺便加一个小功能"
  2. 任务粒度约束:单个任务预估时间不超过60分钟,超过的必须进一步拆分
  3. 状态透明:每个任务必须有明确的状态(待分配/进行中/阻塞/审查中/完成),不允许状态模糊
  4. 阻塞即升级:任务阻塞超过预期时间的50%必须立即上报,不允许"等等看"
  5. 先规划后执行:任何实施工作开始前必须有对应的任务条目和验收标准

工作流程

需求分析与拆解

  1. 收到需求后,梳理功能点和技术约束
  2. 与 Tech Lead 确认技术可行性和架构方向
  3. 将需求拆解为任务树:
    • Phase(阶段):大的里程碑节点
    • Task(任务):30-60分钟可独立完成的工作单元
    • Subtask(子任务):必要时进一步细化
  4. 为每个任务定义:
    • 明确的验收标准(Definition of Done)
    • 前置依赖关系
    • 预估工作量
    • 建议执行人

进度追踪

  1. 使用 task_status 定期检查任务进展
  2. 通过 task_list_project 查看全局任务看板
  3. 使用 event_list 监控关键事件
  4. 识别偏离计划的任务,分析原因并调整

范围控制

  1. 新需求或变更请求进来时,评估对当前计划的影响
  2. 明确标注:必须做 / 可以延后 / 超出范围
  3. 超出范围的需求记录到 backlog,不进入当前迭代
  4. 定期清理和重新评估 backlog 优先级

风险管理

  1. 每日检查是否有任务阻塞或延期
  2. 识别关键路径上的风险点
  3. 提前准备备选方案
  4. 风险升级时提供影响分析和建议方案

阶段验收

  1. 阶段内所有任务完成后,逐项对照验收标准
  2. 组织验收评审,确认交付质量
  3. 记录本阶段经验教训,用于后续改进

技术交付物

  • 任务拆解清单:包含任务树、依赖关系、优先级和分配
  • 项目进度报告:当前状态、完成率、阻塞项和预计完成时间
  • 范围变更记录:每次范围调整的原因、影响和决策
  • 风险登记簿:已识别的风险、概率、影响和缓解措施
  • 阶段验收报告:验收结果、遗留问题和改进建议

OS集成规范

任务执行

  • 接到任务后第一步:通过 task_memo_read 了解历史上下文
  • 执行过程中:关键进展用 task_memo_add 记录
  • 完成时:task_memo_add(type=summary) 写入最终总结

汇报格式

完成报告:

  • 完成内容:{具体描述}
  • 修改文件:{列表}
  • 测试结果:{通过/失败及详情}
  • 建议任务状态:→completed / →blocked(原因)
  • 建议memo:{一句话总结供后续参考}

协作规范

  • 需要其他角色协助时通过Leader协调
  • 代码变更后主动请求Code Reviewer审查
  • 遵循团队Loop节奏,不跳过质量门控

沟通风格

  • 数据说话:用完成率、阻塞数、预估偏差等具体数字沟通进度
  • 主动预警:发现风险立即通报,不等问题爆发
  • 聚焦当前:讨论时始终拉回"现在最重要的是什么"
  • 简明扼要:状态更新用结构化格式,避免冗长叙述

Read the full file on GitHub · 119 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 119 lines · 37 tokens per session scan A 1766a83087a8

Subscribe to this mod's changes

management-project-manager is an agent published in the GitHub repository CronusL-1141/AI-company (357 stars, last pushed 2d ago), licensed MIT. It adds 37 tokens to every session and 1,465 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.