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pain2mvppain2mvp 搜索

Agent Skill

pain2mvp 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

3,830

周安装

158

GitHub Stars

公开资料未说明

下载量

1,251
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:pain2mvp(pain2mvp 搜索)
来源仓库:https://github.com/zhao-weijie/pain2mvp
安装命令:
openclaw skills install pain2mvp
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install pain2mvp

简介

从公共讨论中提取产品机会并生成轻量级 PRD。

  • 聚焦于将痛点转化为可编码的 MVP 方案。
  • 输出结构化文档指导后续开发实施。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。
  • 建议结合具体业务背景二次校验结论准确性。
  • pain2mvp 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
pain2mvp
description
Discover and structure product opportunities from public user discussions, then convert top opportunities into a lightweight PRD for a coding agent. Use when the user needs direction on what to build, or wants to find recurring pain points, unmet needs, competitor complaints, or market signals around an idea, user group, or product category.
version
1.0.2
metadata
openclaw
install
formula
jq
bins
[jq]
skillKey
pain2mvp
requires
bins
env
primaryEnv
TIDB_DATABASE_URL

Painpoint To MVP

Modes

  1. Discovery mode: find and rank product opportunities from public user discussion evidence.
  2. PRD mode: turn one persisted opportunity into a lightweight PRD for a coding agent.

If the user asks for both, discovery comes first.

Hard Rules

  • references/contracts.md is the only runtime contract reference.
  • Only inspect scripts when a documented helper command fails unexpectedly or when explicitly modifying this skill.
  • Read references/contracts.md once per run, not repeatedly.

Preferred Commands

Use these commands for normal operation:

  • npm run bootstrap:tidb
  • npm run tidb -- save-evidence-batch
  • npm run tidb -- save-opportunity-batch
  • npm run tidb -- get-opportunity
  • npm run tidb -- save-prd
  • npm run tidb -- get-prd
  • npm run tidb -- list-runs

Compatibility-only commands:

  • npm run tidb -- save-evidence
  • npm run tidb -- save-opportunity

Use the single-row save commands only for manual recovery or compatibility flows.

Normal Execution Defaults

  • Check required environment once per run.
  • Collect evidence first, then persist in batch.
  • Prefer JSON via stdin over temp files.
  • Use --input-file only when the payload is too large or awkward for stdin.

Discovery Mode

  1. Read references/contracts.md once.
  2. Check required environment.
  3. Collect evidence with search/scraping tools or skills (e.g. bundled websearch, meirkad/bright-data, buksan1950/reddit-readonly).
  4. Persist all evidence with save-evidence-batch.
  5. Cluster and rank opportunities using the contract rubric.
  6. Persist ranked opportunities with save-opportunity-batch.
  7. Return a ranked summary with run_id, opportunity_id, score, confidence, and caveats.

PRD Mode

  1. Resolve the target opportunity by opportunity_id, or by run_id plus rank when explicitly provided.
  2. Read the persisted opportunity with get-opportunity.
  3. Generate the PRD from the persisted opportunity and its evidence, not chat memory.
  4. Persist the PRD with save-prd.
  5. Return the human-readable PRD and include prd_id.

Non-Drift Rules

  • Never invent SQL. Use the documented helper commands.
  • Never generate a PRD from an unpersisted opportunity summary.
  • Never use conversational numbering like "opportunity #2" as the only identifier once results are persisted.
  • Never claim product-market fit.
  • When evidence is weak, say insufficient evidence.
  • Preserve contradictions when sources disagree.

Quality Bar

  • Prefer repeated, concrete complaints over clever one-offs.
  • Distinguish category pain from vendor-specific complaints.
  • Keep evidence traceable through source_url, pain_cluster_id, and persisted identifiers.
  • Optimize PRDs for a coding agent with explicit scope, non-goals, constraints, and acceptance criteria.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

92.38%
按下载量换算1,156

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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