Results for “ai-readiness”

Make any repo AI-ready — analyzes your codebase and generates AGENTS.md, copilot-instructions.md, CI workflows, issue templates, and more. Mines your PR review patterns and creates files customized to your stack. USE THIS SKILL when the user asks to "make this repo ai-ready", "set up AI config", or "prepare this repo for AI contributions".

Guides users to install and run the ai-ready skill for making repositories AI-ready with AGENTS.md, instructions, and CI workflows.

Assess whether your product work is AI-first or AI-shaped, evaluate maturity across five key competencies, and get recommendations on which capability to build next.

Think like a human. Reason, plan, adapt, create, and know your limits.

Build production-ready LLM applications, RAG systems, and intelligent agents with architecture design, model selection, and cost controls.

Monitor PR lifecycle from creation through merge including CI monitoring, review comment handling, thread resolution, and merge readiness verification.

Prevents AI-introduced regressions with sandbox-mode API testing, automated bug-check workflows, and patterns that catch blind spots where the same model writes and reviews code.

Guides AI system compliance with the EU AI Act through six article-cited questions covering prohibited practices, risk classification, conformity assessment, role obligations, transparency, and GPAI systemic risk.

Build AI help desk automation systems. TRIGGERS - Use when user needs help with ai-help-desk related tasks.

Configure Gemini and Codex CLI tools with Cloudflare AI Gateway endpoints and MCP servers.

ai-module-development

Benchmark AI skill effectiveness by measuring implementation quality against legacy constraints.

Internal technical readiness drill assistant for release and handoff.

Build AI help desk automation systems. TRIGGERS - Use when user needs help with ai-help-desk related tasks.

A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution.

Expert ISO 42001 AI Management System (AIMS) compliance advisor. Use this skill whenever a user asks about ISO/IEC 42001:2023, AI governance, AI management systems, AI risk assessment, AI system impact assessment, Annex A controls for AI, Statement of Applicability for AI systems, AI policy, responsible AI, AI lifecycle management, AI incident management, AI transparency, AI bias, AI certification readiness, or any topic related to implementing or auditing an AI Management System. Also trigger for questions like "how do I become ISO 42001 certified?", "what controls does ISO 42001 require?", "how do I assess AI risk under 42001?", "what is an AIMS?", or any request involving organisational governance of AI systems, responsible AI frameworks, or AI regulatory compliance aligned to an ISO standard.

Use when auditing a CAV (Computer Aided Verification) submission for portal readiness, covering the four submission categories (Regular / Short Tool / Short Application / Industrial Experience & Case Studies), the LNCS page limits, the per-category anonymization matrix, the artifact-intent declaration, and desk-reject triage before the AoE paper deadline.