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Claude Agent Team

Specialized AI agents that orchestrate your entire feature development workflow - from PRD to production.

Your AI engineering team that ships features, not just code. From PRD to production, these specialized agents handle tech shaping, implementation, testing, review, optimization, and documentation—autonomously executing the full development workflow while you focus on what to build, not how to build it.

The quality of your output is directly proportional to the quality of your input. Give agents clear requirements, context, and goals—they'll handle the rest.

Quick Start

  1. Install: Claude Code + Anthropic API key
  2. Run: ./scripts/install.sh

Tracks checksums so re-running safely updates changed files without clobbering local edits. See ./scripts/install.sh --help for --status, --uninstall, --dry-run, and --verbose.

Agents

Agent Purpose Model Features
planner Design implementation plans and architecture decisions Opus read-only
engineer Implement features following existing codebase patterns Opus
debugger Systematic bug investigation and verified fixes Opus
tester Write unit tests for new functionality Sonnet
reviewer Code review with confidence-based filtering (≥80 threshold) Opus read-only
security Security audit — OWASP Top 10, auth flows, dependency risks Opus read-only
researcher Explore codebases, compare technologies, gather information Opus
gap-finder Verify implementations match specs, find missing requirements Opus read-only
optimizer Practical code improvements and refactoring Sonnet
documenter Create and maintain documentation, diagrams, and guides Sonnet
context-auditor Audit markdown docs for token efficiency and redundancy Sonnet read-only

All agents use project-scoped memory (memory: local) to learn codebase patterns across sessions without cross-project contamination.

Workflow Recipes

Bug fix:

debugger → engineer → tester → reviewer

New feature:

planner → engineer → tester → gap-finder → reviewer

Security review:

security → reviewer

Documentation:

documenter (standalone or after feature work)

Each agent works autonomously and returns results. Claude Code decides which agent to invoke next.

Slash Commands

Command Description
/contribution-report GitHub contribution summaries for performance reviews
/pr-description Generate PR title and description from branch changes
/upgrade-dep Upgrade a dependency and fix breaking changes

Scripts

Script Description
scripts/install.sh Install/update/uninstall agents, commands, and scripts with checksum-based conflict detection
scripts/count-tokens.sh Token counting with Anthropic API (caches results, falls back to estimation)

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