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Nm Spec Kit Task Planning

作者 athola · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install nm-spec-kit-task-planning
功能描述
Generate phased, dependency-ordered tasks from specifications with parallelization opportunities and tech-stack patterns
安全使用建议
This is a documentation/instruction-only planning skill and appears coherent with its stated purpose. Before enabling, confirm you are comfortable granting it the Night Market permissions it requests (writing-plans, executing-plans) because those enable the agent to create and run plans which may result in modifications to repositories or CI tasks when paired with other automation. If you want tighter control, keep the skill user-invocable only (don't enable automatic/autonomous runs) and review generated plans before execution.
功能分析
Type: OpenClaw Skill Name: nm-spec-kit-task-planning Version: 1.0.0 The skill bundle is a documentation-based tool for task planning and dependency management, ported from the Claude Night Market project. It contains no executable code or scripts, consisting entirely of Markdown instructions (SKILL.md) and reference modules (modules/phase-structure.md, modules/dependency-patterns.md) that guide an AI agent in breaking down specifications into structured implementation phases. No indicators of data exfiltration, malicious execution, or harmful prompt injection were found.
能力评估
Purpose & Capability
Name and description (generate phased, dependency-ordered tasks) match the provided SKILL.md and modules. The declared config requirements (night-market.superpowers:writing-plans, night-market.superpowers:executing-plans) align with a planning skill that creates and may run plans; no unrelated credentials, binaries, or external services are requested.
Instruction Scope
SKILL.md and module files are documentation and templates for producing tasks, phases, and tech-stack patterns. They don't instruct the agent to read arbitrary system files, exfiltrate data, or call external endpoints. Example commands (pytest, uv sync) are illustrative and not part of a hidden runtime flow.
Install Mechanism
No install spec and no code files — instruction-only. Nothing is downloaded or written by an installer during install-time, minimizing disk persistence risk.
Credentials
The skill does not request environment variables, credentials, or secrets. The only required items are two named config permissions that are coherent with producing and executing plans within the Night Market ecosystem.
Persistence & Privilege
always is false and normal autonomous invocation is allowed by default. The skill does not request system-wide config changes or access to other skills' credentials.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install nm-spec-kit-task-planning
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /nm-spec-kit-task-planning 触发
  4. 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
v1.0.0
- Initial release of the task-planning skill. - Converts implementation plans into phased, dependency-ordered tasks. - Identifies parallel execution opportunities based on file and state isolation. - Tasks structured into 5 clear phases: Setup, Foundation, Core Implementation, Integration, and Polish. - Each task entry includes dependencies, parallelizability, files affected, and completion criteria. - Designed for use with agents, hooks, and commands in the Claude Night Market plugin system.
元数据
Slug nm-spec-kit-task-planning
版本 1.0.0
许可证 MIT-0
累计安装 1
当前安装数 1
历史版本数 1
常见问题

Nm Spec Kit Task Planning 是什么?

Generate phased, dependency-ordered tasks from specifications with parallelization opportunities and tech-stack patterns. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 135 次。

如何安装 Nm Spec Kit Task Planning?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install nm-spec-kit-task-planning」即可一键安装,无需额外配置。

Nm Spec Kit Task Planning 是免费的吗?

是的,Nm Spec Kit Task Planning 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Nm Spec Kit Task Planning 支持哪些平台?

Nm Spec Kit Task Planning 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 Nm Spec Kit Task Planning?

由 athola(@athola)开发并维护,当前版本 v1.0.0。

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