ReddRadar
Agent skill
subagent-driven-development
Use when executing implementation plans with independent tasks in the current session. Dispatches fresh subagent per task.
Install this agent skill to your Project
npx add-skill https://github.com/a5c-ai/babysitter/tree/main/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 taskagents/spec-reviewer/- Verifies spec complianceagents/code-quality-reviewer/- Verifies code qualityagents/code-reviewer/- Final review of entire implementation
Tool Use
Invoke via babysitter process: methodologies/superpowers/subagent-driven-development
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
a5c-ai/babysitter
gsd-tools
Central utility skill for GSD operations. Provides config parsing, slug generation, timestamps, path operations, and orchestrates calls to other specialized skills. Acts as the unified entry point that the original gsd-tools.cjs provided via its lib/ modules (commands, config, core, init).
a5c-ai/babysitter
model-profile-resolution
Resolve model profile (quality/balanced/budget) at orchestration start and map agents to specific models. Enables cost/quality tradeoffs by selecting appropriate AI models for each agent role.
a5c-ai/babysitter
verification-suite
Plan structure validation, phase completeness checks, reference integrity verification, and artifact existence confirmation. Provides the structured verification layer ensuring GSD artifacts are well-formed and complete.
a5c-ai/babysitter
state-management
STATE.md reading, writing, and field-level updates. Provides cross-session state persistence via .planning/STATE.md with structured fields for current task, completed phases, blockers, decisions, and quick tasks.
a5c-ai/babysitter
git-integration
Git commit patterns, formats, and conventions for GSD methodology. Provides atomic commits per task, structured commit messages, planning file commits, branch management, and milestone tag operations.
a5c-ai/babysitter
frontmatter-parsing
YAML frontmatter parsing and manipulation for .planning/ documents. Provides read, write, update, query, and validation operations on frontmatter blocks in GSD markdown artifacts.
Didn't find tool you were looking for?