Evaluates whether an enterprise AI project is worth initiating by passing through five gates: genuine need assessment, AI necessity, technology selection and feasibility, ROI, operational data, and fallback planning.
The Enterprise AI Project Assessor skill is designed for developers and AI agents using platforms like Codex to rigorously evaluate the viability of enterprise AI projects. It guides the user through a structured five-gate process: determining if there is a genuine business need, assessing whether AI is truly necessary, evaluating technology choices and feasibility, calculating return on investment (ROI), and reviewing operational data and fallback strategies. This skill helps avoid wasted resources by ensuring only promising projects move forward, making it useful for technical leads, product managers, and AI solution architects. It integrates with the Codex environment, leveraging markdown-based instructions for clear, repeatable assessments.
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Evaluates whether an enterprise AI project is worth initiating by passing through five gates: genuine need assessment, AI necessity, technology selection and feasibility, ROI, operational data, and fallback planning.
Gemini CLI one-shot prompts, summaries, generation, skills, hooks, MCP, or Gemma routing.
Fetch GitHub issues, select candidates, spawn background fix agents, open PRs, and optionally process PR review comments.
Create, edit, audit, tidy, validate, or restructure AgentSkills and SKILL.md files.
Search, install, update, sync, or publish agent skills with the ClawHub CLI and registry.
Delegate coding work to Codex, Claude Code, or OpenCode as background workers; not simple edits or read-only code lookup.
List, configure, authenticate, call, and inspect MCP servers/tools with mcporter over HTTP or stdio.