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Feishu Requirement Manager
作者
Mao XiaoHei！
· GitHub ↗
· v3.1.0
· MIT-0
171
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当前安装
8
版本数
在 OpenClaw 中安装
/install feishu-requirement-manager
功能描述
飞书需求管理工具（去中心化+可扩展）。支持需求创建、任务拆分、代理执行、进度跟踪。 **核心字段**： - 需求：标题、状态、优先级、进度、截止日期 - 任务：标题、状态、执行人、关联需求 **支持自定义扩展**，用户可添加额外字段。
使用说明 (SKILL.md)
需求管理 Skill (v3.1.0)
📋 核心字段定义
需求列表（必填字段）
| 字段 | 类型 | 说明 |
|---|---|---|
| 需求标题 | text | 必填，唯一标识 |
| 状态 | singleSelect | 待处理/进行中/已完成/已取消 |
| 优先级 | singleSelect | P0/P1/P2/P3 |
| 进度 | number | 0-100% |
| 截止日期 | datetime | 可选 |
| 提出日期 | datetime | 自动填充 |
需求列表（可扩展字段）
| 字段 | 类型 | 说明 |
|---|---|---|
| 需求描述 | text | 详细描述 |
| 需求类型 | singleSelect | 产品/技术/运营/其他 |
| 所属项目 | link | 关联项目 |
| 关联文档 | url | 相关文档链接 |
| 负责人 | user | 负责人 |
| 备注 | text | 备注信息 |
任务列表（必填字段）
| 字段 | 类型 | 说明 |
|---|---|---|
| 任务标题 | text | 必填 |
| 任务状态 | singleSelect | 待处理/进行中/已完成/阻塞 |
| 关联需求 | link | 关联需求（必填） |
| 执行人 | text/select | AI助手/搜索Agent/文档Agent/用户 |
任务列表（可扩展字段）
| 字段 | 类型 | 说明 |
|---|---|---|
| 任务描述 | text | 详细描述 |
| 依赖任务 | link | 依赖的其他任务 |
| 优先级 | singleSelect | P0/P1/P2/P3 |
| 截止日期 | datetime | 截止时间 |
| 输出 | text | 执行结果/交付物 |
项目列表（可选）
| 字段 | 类型 | 说明 |
|---|---|---|
| 项目名称 | text | 必填 |
| 项目状态 | singleSelect | 进行中/已完成/已暂停 |
| 项目描述 | text | 描述 |
| 负责人 | user | 项目负责人 |
🔄 动态字段处理
创建时的字段映射
// 用户输入 → 字段映射
用户输入 = {
"需求": "开发一个App",
"优先级": "P1",
"类型": "产品"
}
// 转换为表格字段
fields = {
"需求标题": "开发一个App",
"优先级": "P1 - 重要",
"需求类型": "产品"
}
自定义字段处理
如果用户添加了额外字段：
- 尝试匹配已知字段
- 无法匹配时，提示用户确认字段名
- 存储到"备注"字段或创建新字段
⚡ 核心流程
用户请求
↓
主Agent：创建需求/任务
↓
PM代理：拆分任务
↓
执行Agent：并行执行
↓
更新表格状态
↓
通知用户
📖 使用示例
例1: 创建需求
用户：创建需求：开发AI助手
主Agent：
1. 检查表格是否存在
2. 创建需求记录
- 需求标题：开发AI助手
- 状态：待处理
- 优先级：P1 - 重要
- 提出日期：当前时间
3. 触发PM代理
例2: 添加自定义字段
用户：创建需求：项目A，预算10万，负责人张三
主Agent：
1. 核心字段：需求标题、项目A
2. 自定义字段：
- 预算：10万 → 存到"备注"
- 负责人：张三 → 如有"负责人"字段则使用，否则存备注
🔗 触发关键词
需求管理、创建需求、拆分需求、执行任务
查看进度、添加任务
⚠️ 字段映射规则
| 用户输入 | 表格字段 |
|---|---|
| 需求/标题 | 需求标题 |
| 任务 | 任务标题 |
| 紧急/重要 | P0 - 紧急 / P1 - 重要 |
| 正在进行/做 | 进行中 |
| 完成/结束 | 已完成 |
版本: 3.1.0 | 2026-03-22
安全使用建议
This skill appears to do what it claims: manage Feishu Bitable requirement and task records. Before installing, verify these points: (1) Authentication model — confirm how feishu_bitable_app connector obtains the app_token and whether you must provide Feishu credentials elsewhere; (2) Token scope and rotation — ensure the stored app_token has only the permissions needed and can be revoked/rotated; (3) Memory storage location — confirm where memory/shared/requirement-manager.json is stored, who can access it, and whether it will persist across sessions; (4) Least privilege for created resources — the tables/apps it creates should not require excessive org-wide privileges; (5) Delegation behavior — the skill delegates tasks to other agents, so review what those agents are allowed to do in your environment. If you cannot confirm the connector/auth details, treat the persisted app_token as a sensitive secret and avoid installing until clarified.
功能分析
Type: OpenClaw Skill
Name: feishu-requirement-manager
Version: 3.1.0
The skill is a legitimate requirement management tool designed to interface with Feishu (Lark) Bitable. It provides structured instructions for creating tables, mapping fields, and managing task workflows, using a local JSON file (memory/shared/requirement-manager.json) to persist application state such as app tokens and table IDs. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found.
能力评估
Purpose & Capability
The SKILL.md describes creating projects/requirements/tasks and mapping fields to Feishu Bitable tables, and the examples show creating app/table/record objects via feishu_bitable_app.* calls — this aligns with the stated purpose.
Instruction Scope
Instructions explicitly read/write a memory file (memory/shared/requirement-manager.json) to persist app_token and table IDs and direct agents to create/read/update Bitable records. Persisting an app_token is expected for continued access, but the SKILL.md does not detail how Feishu authentication is obtained or what permissions the token has — worth verifying. The skill also delegates work to other agents (PM agent, execution agents), which is consistent with a decentralized workflow but broadens runtime actions.
Install Mechanism
This is an instruction-only skill with no install spec or code files. Nothing is written to disk by an installer here beyond the agent's normal memory persistence described in the instructions.
Credentials
The registry metadata declares no required env vars or credentials, and SKILL.md relies on an app_token produced/used at runtime. That is coherent if the platform provides a Feishu connector, but the skill doesn't document how the token is obtained or what privileges it needs. Storing app_token in agent memory persists a credential — confirm token scope and lifecycle.
Persistence & Privilege
always is false and the skill does not request system-wide modification. It does instruct writing to a shared memory file to persist app_token and table IDs, which grants it persistent access to those Feishu resources; ensure that stored tokens are scoped minimally and that you are comfortable with agent memory storage of credentials.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install feishu-requirement-manager - 安装完成后，直接呼叫该 Skill 的名称或使用
/feishu-requirement-manager触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v3.1.0
**Expanded field definitions and added support for custom fields**
- Introduced detailed core and extended fields for requirements, tasks, and projects.
- Added guidance for mapping user input to table fields.
- Documented handling and storage of user-defined/custom fields.
- Updated example flows and trigger keywords.
- Removed previous implementation/process details to focus documentation on data fields and extensibility.
v3.0.0
Major update: Introduces a decentralized, agent-driven architecture with improved process parallelism and clearer data structure.
- Adopted a decentralized agent model: PM、执行等子代理可并行执行，独立决策
- 强化表格为唯一数据源，所有状态流转、分配、进度均由各子代理驱动完成
- 新增详细的存储结构说明，便于配置与数据追踪
- 核心流程与角色分工重写，梳理各代理行为与互动
- 使用示例和流程图全面更新，突出自主性与异步通知机制
v2.0.0
feishu-requirement-manager v2.0.0
- 完全重写说明文档，流程与表述更精炼清晰
- 简化功能流程，突出“创建需求→任务拆分（AI）→任务执行→完成通知”主线
- 文档新增自动创建表格、文档任务场景与 app_token 管理说明
- 明确功能清单、触发关键词、注意事项和典型使用示例
- 主要用户指令与流程一目了然，便于快速上手
v1.3.0
Version 1.3.0 introduces improved agent responsibilities and clarifies the process for requirement and task management.
- Introduced a dedicated "任务拆分Agent" for analyzing and splitting requirements into executable tasks.
- Clarified agent roles: coordination (主Agent), requirement analysis (任务拆分Agent), and execution (搜索/文档/分析Agent).
- Made task splitting explicitly handled by the analysis agent; tasks now include recommended executor and dependencies.
- Optimized workflow descriptions for improved clarity and maintainability.
- Streamlined trigger keywords and process summaries.
v1.2.0
**Summary:**
Version 1.2.0 adds asynchronous execution and agent-based task allocation for Feishu requirement management.
- Added support for asynchronous (异步) task splitting and task execution using `sessions_spawn`.
- Introduced agent assignment: tasks are allocated to specific agents based on type (e.g., 搜索Agent, 文档Agent, 分析Agent).
- Updated documentation to reflect async processes and agent allocation flows.
- Revised feature descriptions and examples to clarify changes in task flow and logic.
- Minor improvements to quick start, keywords, and safety notes.
v1.1.0
feishu-requirement-manager v1.1.0
- 增加需求自动拆分为可执行任务的AI能力
- 支持AI自动执行分配给自己的任务，并更新状态
- 拓展需求管理流程，包括任务拆分、执行、进度跟踪等完整闭环
- 新增关键指令和功能流程说明，优化用户使用引导
- 完善使用场景、触发关键词和批量操作细节说明
v1.0.1
feishu-requirement-manager v1.0.1
- 新增自动检测与动态创建表格逻辑，首次使用时优先搜索已有表格，避免重复创建。
- 核心流程和安全性说明更加清晰，明确 app_token 和 table_id 全部动态从记忆文件获取。
- 所有操作统一依赖本地记忆配置，无需手动输入 ID。
- 文档结构优化，更突出实际使用步骤和完整用例。
v1.0.0
feishu-requirement-manager v1.0.0
- Initial release of the 飞书需求管理工具 skill.
- Automatically creates a multi-dimensional sheet for managing projects, requirements, and tasks on first use.
- Enables users to create, query, and update requirements and tasks.
- Supports quick commands such as "创建需求", "查看当前需求", "更新需求状态", and "查看项目进度".
- Key functions include automatic table creation, record management, progress tracking, and integration with Feishu Bitable.
- Provides memory persistence for configuration and usage records.
元数据
常见问题
Feishu Requirement Manager 是什么？
飞书需求管理工具（去中心化+可扩展）。支持需求创建、任务拆分、代理执行、进度跟踪。 **核心字段**： - 需求：标题、状态、优先级、进度、截止日期 - 任务：标题、状态、执行人、关联需求 **支持自定义扩展**，用户可添加额外字段。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 171 次。
如何安装 Feishu Requirement Manager？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install feishu-requirement-manager」即可一键安装，无需额外配置。
Feishu Requirement Manager 是免费的吗？
是的，Feishu Requirement Manager 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Feishu Requirement Manager 支持哪些平台？
Feishu Requirement Manager 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Feishu Requirement Manager？
由 Mao XiaoHei！（@maoxiaohei2026-tech）开发并维护，当前版本 v3.1.0。
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