subagent-driven-development
Use when executing implementation plans with independent tasks in the current session
Skill by AndrewHaward2310
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/andrewhaward2310-subagent-driven-development
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: agent-building
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions: not checked yet.
What's inside
- Skill name
subagent-driven-development- Description
- Use when executing implementation plans with independent tasks in the current session
- License
- MIT
- Instructions
- 237 lines in SKILL.md · view on GitHub
Before installing
- Instructions read files in your home folder (~/.ssh, ~/.aws…)
Files (4)
- SKILL.md
- code-quality-reviewer-prompt.md
- implementer-prompt.md
- spec-reviewer-prompt.md
SKILL.md (first lines)
# Subagent-Driven Development
Execute plan by dispatching fresh subagent per task, with two-stage review after each: spec compliance review first, then code quality review.
**Core principle:** Fresh subagent per task + two-stage review (spec then quality) = high quality, fast iteration
## When to Use
```dot
digraph when_to_use {
"Have implementation plan?" [shape=diamond];
"Tasks mostly independent?" [shape=diamond];
"Stay in this session?" [shape=diamond];
"subagent-driven-development" [shape=box];
"executing-plans" [shape=box];
"Manual execution or brainstorm first" [shape=box];
"Have implementation plan?" -> "Tasks mostly independent?" [label="yes"];
"Have implementation plan?" -> "Manual execution or brainstorm first" [label="no"];
"Tasks mostly independent?" -> "Stay in this session?" [label="yes"];
"Tasks mostly independent?" -> "Manual execution or brainstorm first" [label="no - tightly coupled"];
"Stay in this session?" -> "subagent-driven-development" [label="yes"];
"Stay in this session?" -> "executing-plans" [label="no - parallel session"];
}
```
**vs. Executing Plans (parallel session):**
- Same session (no context switch)
- Fresh subagent per task (no context pollution)
- Two-stage review after each task: spec compliance first, then code quality
- Faster iteration (no human-in-loop between tasks)
## The Process
```dot
digraph process {
rankdir=TB;
subgraph cluster_per_task {
label="Per Task";
"Dispatch implementer subagent (./implementer-prompt.md)" [shape=box];
"Implementer subagent asks questions?" [shape=diamond];
"Answer questions, provide context" [shape=box];
"Implementer subagent implements, tests, commits, self-reviews" [shape=box];
"Dispatch spec reviewer subagent (./spec-reviewer-prompt.md)" [shape=box];
"Spec reviewer subagent confirms code matches spec?" [shape=diamond];
"Implementer subagent fixes spec gaps" [shape=box];
"Dispatch code quality reviewer subagent (./code-quality-reviewer-prompt.md)" [shape=box];
"Code quality reviewer subagent approves?" [shape=diamond];
"Implementer subagent fixes quality issues" [shape=box];
"Mark task complete in TodoWrite" [shape=box];
}
"Read plan, extract all tasks with full text, note context, create TodoWrite" [shape=box];
"More tasks remain?" [shape=diamond];
"Dispatch final code reviewer subagent for entire implementation" [shape=box];
"Use superpowers:finishing-a-development-branch" [shape=box style=filled fillcolor=lightgreen];
"Read plan, extract all tasks with full text, note context, create TodoWrite" -> "Dispatch implementer subagent (./implementer-prompt.md)";
"Dispatch implementer subagent (./implementer-prompt.md)" -> "Implementer subagent asks questions?";
"Implementer subagent asks questions?" -> "Answer questions, provide context" [label="yes"];
"Answer questions, provide context" -> "Dispatch implementer subagent (./implementer-prompt.md)";
"Implementer subagent asks questions?" -> "Implementer subagent implements, tests, commits, self-reviews" [label="no"];
"Implementer subagent implements, tests, commits, self-reviews" -> "Dispatch spec reviewer subagent (./spec-reviewer-prompt.md)";
"Dispatch spec reviewer subagent (./spec-reviewer-prompt.md)" -> "Spec reviewer subagent confirms code matches spec?";
"Spec reviewer subagent confirms code matches spec?" -> "Implementer subagent fixes spec gaps" [label="no"];
"Implementer subagent fixes spec gaps" -> "Dispatch spec reviewer subagent (./spec-reviewer-prompt.md)" [label="re-review"];
"Spec reviewer subagent confirms code matches spec?" -> "Dispatch code quality reviewer subagent (./code-quality-reviewer-prompt.md)" [label="yes"];
"Dispatch code quality reviewer subagent (./code-quality-reviewer-prompt.md)" -> "Code quality reviewer subagent approves?";
"Code quality reviewer subagent approves?" -> "Implementer subagent fixes quality issues" [label="no"];
"Implementer subagent fixes quality issues" -> "Dispatch code quality reviewer subagent (./code-quality-reviewer-prompt.md)" [label="re-review"];
"Code quality reviewer subagent approves?" -> "Mark task complete in TodoWrite" [label="yes"];
"Mark task complete in TodoWrite" -> "More tasks remain?";
"More tasks remain?" -> "Dispatch implementer subagent (./implementer-prompt.md)" [label="yes"];
"More tasks remain?" -> "Dispatch final code reviewer subagent for entire implementation" [label="no"];
"Dispatch final code reviewer subagent for entire implementation" -> "Use superpowers:finishing-a-development-branch";
}
```
## Prompt Templates
- `./implementer-prompt.md` - Dispatch implementer subagent
- `./spec-reviewer-prompt.md` - Dispatch spec compliance reviewer subagent
- `./code-quality-reviewer-prompt.md` - Dispatch code quality reviewer subagent
## Example Workflow
```
You: I'm using Subagent-Driven Development to execute this plan.
[Read plan file once: docs/plans/feature-plan.md]
[Extract all 5 tasks with full text and context]
[Create TodoWrite with all tasks]
Task 1: Hook installation script
[Get Task 1 text and context (already extracted)]
[Dispatch implementation subagent with full task text + context]
Implementer: "Before I begin - should the hook be installed at user or system level?"
You: "User level (~/.config/superpowers/hooks/)"
Implementer: "Got it. Implementing now..."
[Later] Implementer:
- Implemented install-hook command
- Added tests, 5/5 passing
- Self-review: Found I missed --force flag, added it
- Committed
[Dispatch spec compliance reviewer]
Spec reviewer: ✅ Spec compliant - all requirements met, nothing extra
[Get git SHAs, dispatch code quality reviewer]
Code reviewer: Strengths: Good test coverage, clean. Issues: None. Approved.
[Mark Task 1 complete]
Task 2: Recovery modesFrom AndrewHaward2310/.agents, MIT.
More from AndrewHaward2310/.agents
- 0.409score
voice-ai-development
AndrewHaward2310
Expert in building voice AI applications - from real-time voice agents to voice-enabled apps.
SkillDFreshness: DClaude Code +9 - 0.409score
langfuse
AndrewHaward2310
Expert in Langfuse - the open-source LLM observability platform.
SkillDFreshness: DClaude Code +9 - 0.409score
langgraph
AndrewHaward2310
Expert in LangGraph - the production-grade framework for building stateful, multi-actor AI applications.
SkillDFreshness: DClaude Code +9 - 0.409score
prompt-caching
AndrewHaward2310
Caching strategies for LLM prompts including Anthropic prompt caching, response caching, and CAG (Cache Augmented Generation) Use when: prompt caching, cache…
SkillDFreshness: DClaude Code +9 - 0.409score
prompt-engineering
AndrewHaward2310
Expert guide on prompt engineering patterns, best practices, and optimization techniques.
SkillDFreshness: DClaude Code +9 - 0.409score
prompt-library
AndrewHaward2310
Curated collection of high-quality prompts for various use cases.
SkillDFreshness: DClaude Code +9 - 0.409score
personal-tool-builder
AndrewHaward2310
Expert in building custom tools that solve your own problems first.
SkillDFreshness: DClaude Code +9 - 0.406score
research-engineer
AndrewHaward2310
An uncompromising Academic Research Engineer.
SkillDFreshness: DClaude Code +9 - 0.401score
llm-app-patterns
AndrewHaward2310
Production-ready patterns for building LLM applications.
SkillDFreshness: DClaude Code +9 - 0.390score
mcp-builder
AndrewHaward2310
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools.
SkillDFreshness: DClaude Code +9
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Feb 10, 2026 (8 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/AndrewHaward2310/.agents
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Same skill elsewhere
Copies of this SKILL.md published by others; search shows only one of them.
- 0.240score
subagent-driven-development
monkey1sai
Use when executing implementation plans with independent tasks in the current session
SkillDFreshness: D★ 1Claude Code +9 - 0.227score
subagent-driven-development
roman-ryzenadvanced
Use when executing implementation plans with independent tasks in the current session
SkillDFreshness: DClaude Code +9 - 0.227score
subagent-driven-development
romangalaxys10-spec
Use when executing implementation plans with independent tasks in the current session
SkillDFreshness: DClaude Code +9
More from AndrewHaward2310
- 0.409score
voice-ai-development
AndrewHaward2310
Expert in building voice AI applications - from real-time voice agents to voice-enabled apps.
SkillDFreshness: DClaude Code +9 - 0.409score
langfuse
AndrewHaward2310
Expert in Langfuse - the open-source LLM observability platform.
SkillDFreshness: DClaude Code +9 - 0.409score
langgraph
AndrewHaward2310
Expert in LangGraph - the production-grade framework for building stateful, multi-actor AI applications.
SkillDFreshness: DClaude Code +9 - 0.409score
prompt-caching
AndrewHaward2310
Caching strategies for LLM prompts including Anthropic prompt caching, response caching, and CAG (Cache Augmented Generation) Use when: prompt caching, cache…
SkillDFreshness: DClaude Code +9 - 0.409score
prompt-engineering
AndrewHaward2310
Expert guide on prompt engineering patterns, best practices, and optimization techniques.
SkillDFreshness: DClaude Code +9 - 0.409score
prompt-library
AndrewHaward2310
Curated collection of high-quality prompts for various use cases.
SkillDFreshness: DClaude Code +9
Cite this page
subagent-driven-development skill. Agent Mart. https://agentmart.dev/skills/andrewhaward2310-subagent-driven-development (last updated 2026-10-24)