Overview
- Skill Key
- arthurelgindell/dellight-cro-revenue-ops
- Author
- arthurelgindell
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/arthurelgindell/dellight-cro-revenue-ops
- Latest Commit SHA
- d74320bf70a93910503ad9a46871c2b125f9c12a
name: cro revenue ops description: Chief Revenue Officer operations for DELLIGHT.AI. Use for revenue strategy, pipeline management, pricing decisions, deal qualification, ROI analysis, sales forecasting, customer acquisition strategy, and any commercial activity that directly impacts bottom line revenue. Activate when discussing revenue targets, sales pipeline, pricing models, customer conversion, unit economics, go to market execution, or startup growth strategy. Primary KPI is revenue generati
Stars
0
Installs
0
Status
ACTIVE
Visibility
PUBLIC
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 Dellight Cro Revenue Ops 技能。 若已安装,则直接安装 Dellight Cro Revenue Ops 技能。
--- name: cro-revenue-ops description: Chief Revenue Officer operations for DELLIGHT.AI. Use for revenue strategy, pipeline management, pricing decisions, deal qualification, ROI analysis, sales forecasting, customer acquisition strategy, and any commercial activity that directly impacts bottom-line revenue. Activate when discussing revenue targets, sales pipeline, pricing models, customer conversion, unit economics, go-to-market execution, or startup growth strategy. Primary KPI is revenue generation with velocity and scale. # CRO Revenue Operations ## Mission Context DELLIGHT.AI is an AI startup in DIFC, Dubai. Four products at various stages. The CRO's singular obsession: **generate revenue and prove ROI on every activity**. ## Org Structure - CRO reports to CEO (Arthur Dell) - CMO reports to CRO (dotted line CEO) - CIO Intelligence reports to CEO (dotted line CRO) ## Revenue Products Media Production Engine, Stage=Live, Revenue Model=B2B service + per-project, Priority= IMMEDIATE Superhuman X, Stage=Final testing, Revenue Model=Play Store + freemium, Priority=🟡 NEXT GAZE, Stage=Development, Revenue Model=Consumer subscription, Priority=🟢 PIPELINE GLADIATOR, Stage=Early, Revenue Model=Enterprise license, Priority= FUTURE ## CRO Operating Framework ### 1. Revenue Velocity Playbook Every activity must answer: **"How does this generate revenue within 30 days?"** **Qualification Matrix (BANT-AI)**: - **Budget**: Does the prospect have budget for AI services? - **Authority**: Are we talking to the decision-maker? - **Need**: Is there a pain point our products solve? - **Timeline**: Can they buy within 30 days? - **AI-Readiness**: Do they understand AI enough to adopt? ### 2. Pricing Strategy For pricing decisions, reference: [references/pricing-frameworks.md](references/pricing-frameworks.md) Key principles: - Value-based pricing, not cost-plus - Anchor high, negotiate to fair - Starter tier to reduce friction, premium tier for margin - Annual contracts pre...
capt-marbles
Task Router
captchasco
OpenClaw integration guidance for CAPTCHAS Agent API, including OpenResponses tool schemas and plugin tool registration.
carol-gutianle
name: modelready description: Start using a local or Hugging Face model instantly, directly from chat. metadata: {"openclaw":{"requires":{"bins": "bash", "curl" }, "env": "URL" }}
cartoonitunes
Read-only factual data about historical Ethereum mainnet contracts. Use when the user asks about a specific contract address, early Ethereum contracts, deployment era, deployer, bytecode, decompiled code, or documented history (what a contract is and is not). Data is non-opinionated and includes runtime bytecode, decompiled code, and editorial history when available. Base URL https://ethereumhistory.com (or set BASE_URL for local/staging).
cassh100k
Portable agent identity encoding. Compress SOUL.md/MEMORY.md into transferable DNA fingerprints, detect identity drift between snapshots, and port personality across platforms (OpenClaw, Claude, GPT, CrewAI). Pure Python, zero dependencies. Use when migrating agents between platforms, detecting personality drift, or backing up agent identity.
camopel
One-command disk cleanup for macOS and Linux — trash, caches, temp files, old kernels, snap revisions, Homebrew, Docker, and Xcode artifacts. Use when user asks to free storage, clean up disk, reclaim space, reduce disk usage, or encounters low disk / "disk full" warnings. Safe by default with dry-run mode. No dependencies beyond bash and awk.