← 返回 Skills 市场
Product Discovery
作者
Alireza Rezvani
· GitHub ↗
· v2.1.1
· MIT-0
296
总下载
0
收藏
4
当前安装
2
版本数
在 OpenClaw 中安装
/install product-discovery
功能描述
Use when validating product opportunities, mapping assumptions, planning discovery sprints, or testing problem-solution fit before committing delivery resour...
安全使用建议
This skill appears to do exactly what it claims: a small local Python CLI to prioritize assumptions and suggest tests. Before installing: ensure you have Python 3 available (SKILL.md calls `python3` but the metadata doesn't declare it). Review the included script (scripts/assumption_mapper.py) — it only reads CSV/CLI input and prints results, and makes no network calls or secret access. When using untrusted CSVs, be cautious about CSV-injection (if you open the output in Excel/Sheets, cells that begin with '=' or similar may be treated as formulas). If you plan to let the agent invoke skills autonomously, note this skill itself has no external access, but always verify future updates or added files for network/credential usage.
功能分析
Type: OpenClaw Skill
Name: product-discovery
Version: 2.1.1
The skill bundle provides a legitimate framework and utility for product discovery and assumption mapping. The Python script `scripts/assumption_mapper.py` performs basic data processing on CSV or inline inputs to prioritize risks, and it contains no network calls, shell execution, or unauthorized file access. All instructions in `SKILL.md` and documentation in `references/discovery-frameworks.md` are consistent with standard product management practices.
能力评估
Purpose & Capability
The name/description (product discovery, assumption mapping) match the provided files and behavior. Minor mismatch: SKILL.md instructs running `python3 scripts/assumption_mapper.py` but the skill metadata does not declare a required binary; the script requires a Python 3 runtime to be present.
Instruction Scope
SKILL.md stays on-topic (OST, assumption mapping, tests, discovery sprints) and only instructs running the included assumption_mapper.py or performing interviews/experiments. The instructions do not request unrelated files, credentials, or external endpoints.
Install Mechanism
There is no install specification (instruction-only), and the repo includes a small Python script. No downloads, external packages, or extraction steps are present. Runtime depends on a local Python 3 interpreter which is not declared in required binaries.
Credentials
The skill requests no environment variables, credentials, or config paths. The included script reads only user-supplied CSV files or inline arguments and prints a prioritized plan to stdout.
Persistence & Privilege
always is false and the skill is user-invocable. It does not request persistent presence or modify other skills or system-wide settings.
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 product-discovery - 安装完成后，直接呼叫该 Skill 的名称或使用
/product-discovery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
v2.1.1
v2.1.1: optimization, reference splits
v1.0.0
Initial publish
元数据
常见问题
Product Discovery 是什么？
Use when validating product opportunities, mapping assumptions, planning discovery sprints, or testing problem-solution fit before committing delivery resour... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 296 次。
如何安装 Product Discovery？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install product-discovery」即可一键安装，无需额外配置。
Product Discovery 是免费的吗？
是的，Product Discovery 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Product Discovery 支持哪些平台？
Product Discovery 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 Product Discovery？
由 Alireza Rezvani（@alirezarezvani）开发并维护，当前版本 v2.1.1。
推荐 Skills