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Trend Demand Forecaster

作者 haidong · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
97
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install trend-demand-forecaster
功能描述
Turn sales notes, trend signals, seasonal context, promo plans, and inventory constraints into a practical demand forecast brief with base, upside, and downs...
安全使用建议
This skill appears coherent and low-risk: it uses only the user's provided notes to produce heuristic forecast briefs, includes self-contained Python code and tests, and requests no credentials or external network access. Before installing, you may still want to: (1) review the full handler.py (the provided snippet is consistent but truncated in the metadata), (2) run the bundled tests locally to confirm behaviour, and (3) remember this is heuristic guidance — do not treat outputs as audited or automatic buy/budget instructions and keep human approval for any purchasing or system updates.
功能分析
Type: OpenClaw Skill Name: trend-demand-forecaster Version: 1.0.0 The skill is a heuristic text-processing tool designed to generate demand forecast briefs based on user-provided notes. The logic in handler.py uses simple keyword matching to select pre-defined text templates and does not perform any network requests, file system operations, or sensitive data access. The SKILL.md instructions are well-aligned with the stated purpose and include safety guidelines to prevent the agent from claiming unauthorized access to live systems.
能力标签
cryptocan-make-purchases
能力评估
Purpose & Capability
Name/description map to a lightweight, heuristic forecasting helper. Required env vars, binaries, and config paths are empty and consistent with an offline, input-driven planner.
Instruction Scope
SKILL.md explicitly limits the skill to user-provided notes and disallows live-system access; the handler implementation uses only local text parsing and scenario generation and does not reference files, network endpoints, or environment variables outside its input.
Install Mechanism
No install spec is provided (instruction-only install), and included Python source/tests are self-contained; nothing is downloaded or extracted from external URLs.
Credentials
The skill requires no credentials or secrets and does not access environment variables or config paths, which is proportionate to its stated offline, heuristic role.
Persistence & Privilege
always is false and the skill does not request elevated or persistent system presence. It contains code the agent may execute when invoked, which matches normal behavior for a user-invocable skill.
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 trend-demand-forecaster
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /trend-demand-forecaster 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
Trend Demand Forecaster v1.0.0 - Initial release of "trend-demand-forecaster" skill. - Converts rough demand signals into a practical, scenario-based forecast brief for ecommerce and planning teams. - Outputs markdown briefs with base, upside, downside scenarios, key indicators, inventory cues, and risk watchlist. - Designed for heuristic, non-automated planning workflows without live data integrations. - Advises on demand trends, promo lift, inventory planning, and uncertainty interpretation.
元数据
Slug trend-demand-forecaster
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Trend Demand Forecaster 是什么?

Turn sales notes, trend signals, seasonal context, promo plans, and inventory constraints into a practical demand forecast brief with base, upside, and downs... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 97 次。

如何安装 Trend Demand Forecaster?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install trend-demand-forecaster」即可一键安装,无需额外配置。

Trend Demand Forecaster 是免费的吗?

是的,Trend Demand Forecaster 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Trend Demand Forecaster 支持哪些平台?

Trend Demand Forecaster 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 Trend Demand Forecaster?

由 haidong(@harrylabsj)开发并维护,当前版本 v1.0.0。

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