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AI & LLM App Development Skills for Claude Code, Codex & AI Agents

These skills help an agent build products on top of language models. They include LLM gateways and routers, evaluation workflows, feature stores and model API setup.

17 skills

Explore AI & LLM App Development skills

3 skills
RecommendedNewest first
Codex Autoresearch — Codex Autoresearch dashboard with synthetic example measurements
Free
Productivity & automation

Codex Autoresearch

Run resumable improvement loops or bounded investigations in local projects with explicit objectives, allowed changes, budgets, and evidence.

837Stars59Forks
Repository last pushed
Albert

Yao Meta Skill

YAO

Create, revise, package, and evaluate agent Skills from workflows, prompts, SOPs, and scripts using a routed review process.

  • skills
  • workflow-design
  • evaluation
2.7KStars253Forks
Repository last pushed

Skill Optimizer

Matteo Collina

Improve Skill activation and clarity using scenario comparisons and regression checks.

  • agent skills
  • evaluation
2KStars146Forks
Repository last pushed

Related topics

Development 246 skillsFrontend Development 92 skillsAPI & Backend 37 skillsCLI & Terminal 35 skillsRefactoring & Code Quality 32 skillsSoftware Architecture 30 skillsReact & Next.js 28 skills

How to choose AI & LLM App Development skills

Use gateway or routing skills to manage models, eval skills to measure output quality, and ML engineering skills for training and features.

  • Route requests across several LLM providers
  • Set up evals for an LLM feature
  • Add a feature store to an ML pipeline