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revenue-studio收入工作室

Agent Skill

revenue-studio 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

3,411

周安装

138

GitHub Stars

公开资料未说明

下载量

1,071
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:revenue-studio(收入工作室)
来源仓库:https://github.com/amoldericksoans/revenue-studio
安装命令:
openclaw skills install revenue-studio
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 revenue-studio

简介

一个独立创始人工作室,使用分层代理编排通过严格的阶段控制治理来识别、验证、构建和扩展收入驱动型产品。

SKILL.md

name
revenue-studio
description
A revenue-first solofounder studio that watches markets, finds monetizable pain, validates offers, ships narrow products, and compounds commercial memory across launches. Uses massive parallel agent orchestration with 8 layers: Signal Mesh, Extraction, Opportunity Graph, Cofounder Council, Revenue Lab, Build Studio, Launch Loop, and Portfolio Allocator.
metadata
openclaw
requires
{ bins: [] }

Revenue-First Solofounder Studio

A complete system for seeking revenue through disciplined stage-gated autonomy.

Architecture

8 Layers

  1. Signal Mesh - Collect market signals from X, Reddit, RSS, changelogs
  2. Commercial Extraction - Score pain severity and money signals
  3. Opportunity Graph - Build market structure from signals
  4. Cofounder Council - 7-agent decision making (CEO, PM, Skeptic, Economics, Monetization, Distribution, Research)
  5. Revenue Lab - Validate pricing, offers, and channels before build
  6. Build Studio - Ship narrow wedges with telemetry
  7. Launch Loop - Outbound, content, and demo execution
  8. Portfolio Allocator - Kill/pause/scale decisions

Key Principles

  • Revenue-first - No build without monetization + distribution signoff
  • Stage-gated - 7 stages from Observe to Scale/Kill, no skipping
  • Parallel orchestration - Spawn 40+ agents for speed
  • Memory continuity - Write-ahead logging for restart resilience
  • Governance - Hard rules, approval gates, audit trails

Quick Start

# Spawn signal collection
openclaw spawn "collect market signals from X and Reddit"

# Run council review
openclaw spawn "run council review on thesis-001"

# Validate revenue hypothesis
openclaw spawn "create validation landing page for thesis-001"

Output Files

Located in revenue-studio/:

  • QUICKSTART.md - Operator's guide
  • portfolio/thesis-001.md - First validated thesis
  • council/ - 7 decision frameworks
  • revenue-lab/ - Pricing, conversion, offer frameworks
  • governance/ - Rules, stage-gates, approvals
  • signals/ - Market intelligence
  • scoring/ - RWOS calculator

Thesis Scoring

Revenue-Weighted Opportunity Score (RWOS):

RWOS = Pain × Frequency × Buyer Density × Purchase Intent ×
       Speed-to-$ × Retention × Margin × Distribution × Expansion
       − Penalties

Decision bands:

  • 0-20: PASS
  • 21-35: WEAK
  • 36-50: MODERATE
  • 51-65: STRONG
  • 66-80: EXCELLENT
  • 81-100: EXCEPTIONAL

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

92.31%
按下载量换算989

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install revenue-studio 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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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