Original guides
Evaluation playbooks for AI models, agents, and retrieval systems.
SkillRank is more than a directory. These guides explain how to compare tools, build evaluation sets, interpret GitHub signals, and roll out AI systems with enough discipline for production teams.
AI Model Selection Framework for Product Teams
A practical framework for choosing chat, reasoning, multimodal, coding, and retrieval models without relying on launch hype.
Updated 2026-06-04
Coding Agent Rollout Playbook
How to introduce Claude Code, Cursor, Codex-style agents, Copilot, and open-source coding repos without weakening engineering review.
Updated 2026-06-04
RAG Evaluation Checklist
A grounded checklist for choosing embedding models, retrieval pipelines, rerankers, and document-agent workflows.
Updated 2026-06-04
AI Image and Video Model Workflow
How creative teams can compare image and video generators using briefs, brand constraints, rights review, and repeatability.
Updated 2026-06-04
SkillRank Data Methodology
How SkillRank separates editorial model profiles, GitHub-verified repository signals, daily picks, and recorded history.
Updated 2026-06-04
AI Agent Security Review Checklist
A security review guide for AI agents that can read files, call tools, browse, write code, or automate workflows.
Updated 2026-06-04
AI Model Cost and Latency Playbook
How to choose model tiers, route requests, set latency budgets, and avoid paying flagship prices for routine AI work.
Updated 2026-06-04
Model Routing and Fallback Design
A practical guide to routing prompts across fast, cheap, specialist, and frontier models without creating brittle AI infrastructure.
Updated 2026-06-04
Enterprise AI Evaluation Scorecard
A scorecard for evaluating AI providers across quality, security, privacy, operations, procurement, and long-term maintainability.
Updated 2026-06-04
Open-Source AI Agent Frameworks: Evaluation Guide
How to evaluate open-source agent frameworks, orchestration libraries, workflow builders, and repository-backed AI tools.
Updated 2026-06-04
RAG Security and Prompt Injection Defense
How to protect retrieval systems from malicious documents, stale knowledge, permission leaks, and unsupported answers.
Updated 2026-06-04
Multimodal AI Evaluation Guide
How to evaluate models that combine text, images, audio, video, files, screens, and tool use in one workflow.
Updated 2026-06-04
AI Procurement and Compliance Checklist
A buyer-friendly checklist for reviewing AI vendors, model providers, agent tools, data handling, contracts, and deployment risk.
Updated 2026-06-04
AI Production Monitoring Guide
What to monitor after launching AI features: quality drift, cost, latency, fallbacks, groundedness, user corrections, and incident signals.
Updated 2026-06-04