Highly efficient AI agents for Claude Code made based on scientific and empirical research results
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AI Agents

111 specialized AI agents for Claude Code. Each agent is a domain expert — loaded on demand as a Markdown file, applied to the current task, then discarded. No subprocesses, no configuration, no dependencies.

Why use it

Generic AI assistants produce mediocre results on specialized work. A domain-specific agent with checklists, anti-patterns, and decision tables produces measurably better output — validated in n=600 evaluations.

  • PostgreSQL migration? Load postgres-pro — it knows indexing strategies, migration patterns, and when to use BRIN vs B-tree.
  • SwiftUI refactor? Load swift-pro — it understands actor isolation, @MainActor rules, and iOS lifecycle pitfalls.
  • Security audit? Load security-reviewer — OWASP Top 10, injection vectors, auth bypass patterns.

Agent Quality — Real-Project Tested

All 111 agents have been tested and optimized through a rigorous methodology:

Method: Each agent was tested in a 3-way comparison (original / polished / smart-applied) on real production codebases — not synthetic tasks. Tested on real production codebases.

Result: The winning variant for each agent was selected based on objective criteria: finding accuracy, evidence quality, cross-file tracing depth, and zero false positives. Agents were compared head-to-head against Claude Code's own native subagents — our agents won every comparison.

Cognitive Mode Tags: Each agent in INDEX.md carries a Mode tag (TRACE / SWEEP / KNOW) derived from these tests, indicating which cognitive approach it's best at. This helps match the right agent to the task type.

  • TRACE — best at following data/logic/flow through code (bug hunting, pipeline analysis)
  • SWEEP — best at systematic checklist verification (security audits, idiom reviews)
  • KNOW — best at applying deep domain/framework expertise (.NET, Spring, Django)

Quick Start

git clone https://github.com/itohnobue/ai-agents-claude-code
cp -R ai-agents-claude-code/.claude /path/to/your/project/
cp ai-agents-claude-code/CLAUDE.md /path/to/your/project/

If you already have a CLAUDE.md, append this one instead of overwriting. Browse .claude/agents/INDEX.md for the full categorized directory.

What's included

Category Count Examples
Language Implementation 22 python-pro, golang-pro, rust-pro, typescript-pro, cpp-pro
Web Frameworks 10 react-pro, nextjs-pro, django-pro, fastapi-pro, vue-pro
Architecture 9 backend-architect, api-designer, database-architect, microservices-architect
DevOps & Infrastructure 11 devops-engineer, kubernetes-architect, terraform-pro, sre-engineer
Security 6 security-reviewer, penetration-tester, threat-modeling-pro
Database 5 postgres-pro, sql-pro, database-optimizer
Testing & QA 5 code-reviewer, tdd-guide, test-automator, e2e-runner
AI & ML 5 ai-engineer, ml-engineer, prompt-engineer, llm-architect
Frontend & Mobile 5 frontend-developer, ios-pro, ui-designer, ux-designer
Documentation 7 documentation-pro, technical-writer, tutorial-engineer
Incident Response 4 incident-responder, debugger, devops-troubleshooter
Specialized 19 build-engineer, cli-developer, product-manager, research-analyst, legacy-modernizer

Every agent includes domain-specific checklists (not generic advice), anti-patterns (known failure modes to avoid), and decision tables (when to choose what).

Full directory: .claude/agents/INDEX.md

How agents are built

Structure validated against n=600 evaluations (Oparin research). Built through manual review of multiple agent collections, cross-checked for unique domain content. No automated batch processing. Pure Markdown — zero dependencies.

License

MIT