TopRank Skills

Home / Claw Skills / 开发运维 / Afrexai Ai Readiness
Official OpenClaw rules 36%

Afrexai Ai Readiness

AI Readiness Assessment

Stars

0

Installs

0

Status

ACTIVE

Visibility

PUBLIC

安装方式

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 Afrexai Ai Readiness 技能。 若已安装,则直接安装 Afrexai Ai Readiness 技能。

Overview

Skill Key
1kalin/afrexai-ai-readiness
Author
1kalin
Source Repo
openclaw/skills
Version
-
Source Path
skills/1kalin/afrexai-ai-readiness
Latest Commit SHA
30a9f312578088c8236a020fac22f3da0c679e6f

Extracted Content

SKILL.md excerpt

# AI Readiness Assessment

Run a structured AI readiness audit for any organization. Scores 8 dimensions, identifies gaps, produces a prioritized 90-day action plan with budget ranges.

## When to Use
- Before investing in AI/automation tools
- Board or leadership requesting AI strategy
- Evaluating build vs buy decisions
- Annual technology planning

## How It Works

Score each dimension 1-5 (1=not started, 5=optimized):

### 1. Data Infrastructure (Weight: 3x)
- [ ] Centralized data warehouse or lakehouse operational
- [ ] Data quality monitoring automated (freshness, completeness, accuracy)
- [ ] API-first architecture for core systems
- [ ] Data governance policy documented and enforced
- [ ] PII/PHI classification and access controls active

**Score 1:** Spreadsheets and siloed databases
**Score 3:** Warehouse exists, some pipelines automated
**Score 5:** Real-time streaming, quality >99%, full lineage

### 2. Process Documentation (Weight: 2x)
- [ ] Top 20 revenue-impacting processes mapped end-to-end
- [ ] Decision trees documented for each process
- [ ] Exception handling paths defined
- [ ] Time-per-task benchmarks established
- [ ] Process owners assigned

**Score 1:** Tribal knowledge, nothing written down
**Score 3:** Major processes documented, some outdated
**Score 5:** Living documentation, updated quarterly, covers 80%+ of operations

### 3. Technical Talent (Weight: 2x)
- [ ] At least 1 person understands ML/AI concepts at implementation level
- [ ] Engineering team comfortable with APIs and integrations
- [ ] DevOps/infrastructure person can deploy and monitor services
- [ ] Data analyst can query and interpret model outputs
- [ ] Security team understands AI-specific attack surfaces

**Score 1:** No technical staff beyond basic IT
**Score 3:** Good engineering team, AI knowledge is theoretical
**Score 5:** Dedicated AI/ML engineer, cross-functional AI literacy program

### 4. Budget & ROI Framework (Weight: 2x)
- [ ] AI budget allocated (not pulle...

README excerpt

# AI Readiness Assessment

Score your organization across 8 weighted dimensions. Get a clear readiness rating and a prioritized 90-day action plan — not a vague "you need AI" pitch.

## What It Does

- **8-dimension scoring** — Data, Process, Talent, Budget, Change Management, Security, Integration, Strategy
- **Weighted formula** — Security and data count more than buzzword alignment
- **Budget reality tables** — By company size, with actual ROI timelines
- **90-day action plan** — Foundation → Pilot → Scale or Kill
- **Industry benchmarks** — Know where you stand vs your sector (2026 data)
- **7 assessment mistakes** — Skip the expensive lessons others already learned

## Who It's For

CTOs, VPs of Engineering, COOs, and anyone who got asked "what's our AI strategy?" in a board meeting.

Works for 15-person startups through 1000+ enterprises.

## Quick Start

Tell your agent: "Run the AI readiness assessment for our company"

It'll walk through each dimension, score you, and produce the action plan.

---

**Industry context packs ($47):** https://afrexai-cto.github.io/context-packs/

**AI Revenue Calculator (free):** https://afrexai-cto.github.io/ai-revenue-calculator/

**Agent Setup Wizard (free):** https://afrexai-cto.github.io/agent-setup/

Built by [AfrexAI](https://afrexai-cto.github.io/context-packs/) — AI agent context for businesses that ship.

Related Claw Skills