a5c-ai/subagent-driven-development
library/methodologies/superpowers/skills/subagent-driven-development/SKILL.md
Use when executing implementation plans with independent tasks in the current session. Dispatches fresh subagent per task.
$ install --global
skillsauthnpx skillsauth add a5c-ai/babysitter subagent-driven-developmentInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 1, 2026, 12:36 PM54.5s2 files scanned
SKILL.md
- name:
- subagent-driven-development
- description:
- Use when executing implementation plans with independent tasks in the current session. Dispatches fresh subagent per task.
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
Related Skills
a5c-ai/model-card-generator
development
VerifiedTrustedCommunity
Model documentation skill for generating model cards following Google's model card framework.
680SKILL.mdUpdated Apr 28, 2026
a5c-ai/mlflow-experiment-tracker
development
VerifiedTrustedCommunity
MLflow integration skill for experiment tracking, model registry, and artifact management. Enables LLMs to log experiments, compare runs, manage model lifecycle, and retrieve artifacts through the MLflow API.
680SKILL.mdUpdated Apr 28, 2026
a5c-ai/lime-explainer
data-ai
VerifiedTrustedCommunity
LIME-based local explanation skill for individual predictions across tabular, text, and image data.
680SKILL.mdUpdated Apr 28, 2026
a5c-ai/kubeflow-pipeline-executor
devops
VerifiedTrustedCommunity
Kubeflow Pipelines skill for ML workflow orchestration, component management, and Kubernetes-native ML.
680SKILL.mdUpdated Apr 28, 2026