Babysitter subagent-driven-development

Use when executing implementation plans with independent tasks in the current session. Dispatches fresh subagent per task.

install

source · Clone the upstream repo

git clone https://github.com/a5c-ai/babysitter

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/methodologies/superpowers/skills/subagent-driven-development" ~/.claude/skills/a5c-ai-babysitter-subagent-driven-development && rm -rf "$T"

manifest: library/methodologies/superpowers/skills/subagent-driven-development/SKILL.md

Subagent-Driven Development

Overview

Execute plan by dispatching fresh subagent per task with two-stage review: spec compliance first, then code quality.

Core principle: Fresh subagent per task + two-stage review = high quality, fast iteration.

When to Use

Have implementation plan with mostly independent tasks
Want to stay in current session
Want automatic review checkpoints

Two-Stage Review

Spec Compliance - Did they build what was requested? (nothing more, nothing less)
Code Quality - Is it well-built? (clean, tested, maintainable)

Spec MUST pass before quality review begins.

Red Flags

Never skip either review stage
Never proceed with unfixed issues
Never dispatch multiple implementation subagents in parallel
Never let implementer self-review replace actual review

Agents Used

```
agents/implementer/
```
- Fresh subagent per task
```
agents/spec-reviewer/
```
- Verifies spec compliance
```
agents/code-quality-reviewer/
```
- Verifies code quality
```
agents/code-reviewer/
```
- Final review of entire implementation

Tool Use

Invoke via babysitter process:

methodologies/superpowers/subagent-driven-development