AI Agent Team Guide
The @saas template ships with a 12-agent Claude Code team for automated development.
Agent Roster
| Agent | Command | Role |
|---|---|---|
@spec-writer | /athena:spec | Feature spec, OpenAPI-first design |
@reviewer | /athena:qa --review-only | Code review + security audit |
@qa | /athena:qa --test-only | Test execution + 80% coverage gate |
@evaluator | /athena:qa --eval-only | Independent acceptance evaluation |
@best-practice | — | Architecture + trade-off decisions |
@debugger | — | Errors, failing tests (auto-delegated) |
@deployer | /athena:deploy | 7-gate deploy protocol |
@memory-curator | /athena:promote | Extract wisdom → Tier 0 |
@strategist | /athena:plan | Audit, research, propose epics |
@orchestrator | /athena:batch | Parallel epic coordination |
@designer | /athena:design | Design tokens → React page |
@dba | /athena:dba | Migration review, schema design |
Invocation
bash
# Full pipeline (one step at a time)
/athena:loop
# Full pipeline (auto-advance)
/athena:loop auto
# Parallel epics (max 4 concurrent)
/athena:batch auto
# Confidence-gated autopilot
/athena:autopilotWhen to Use Each Agent
Building a new feature:
bash
/athena:spec "feature description"
/athena:implement
/athena:qa
/athena:prDiagnosing a bug:
@debugger — describe the error, share logsReviewing for production:
bash
/athena:qa --review-only # security + code quality
/athena:deploy staging # 7-gate pre-deploy checkOptimizing DB:
bash
/athena:dba inspect-migrations
/athena:dba lintEffort Tiers
Pass --effort <tier> to scale depth vs. cost:
| Tier | Use Case |
|---|---|
quick | Rapid iteration, draft specs |
standard | Normal development (default) |
thorough | Pre-merge quality gate |
ultra | Security audit, critical-path review |
bash
/athena:qa --effort ultra # maximum review depth
/athena:spec --effort quick "small tweak"