Back to Workflow & Productivity

subagent-driven-development

AI agentsubagentdevelopment workflowcode qualitytask managementimplementationautomated reviewcoding assistant
⭐ 229.6kπŸ“„ MITπŸ•’ 2026-06-16Source β†—

Install this skill

npx skills add obra/superpowers

Works across Claude Code, Cursor, Codex, Copilot & Antigravity

Subagent-Driven Development is a structured execution framework for complex software tasks that rely on independent sub-units of work. Instead of tasking a single agent with a massive objective, this workflow spawns specific, ephemeral subagents for individual implementation, spec validation, and quality auditing. Each task cycle begins with a fresh implementer, followed by two distinct feedback loops: first ensuring the code fulfills the functional specification, and second verifying adherence to internal quality standards. This modular approach prevents context pollution and minimizes drift by enforcing a rigorous verification sequence at every step of the implementation. By treating each atomic task as a discrete project lifecycle, the system maintains high standards of code integrity and architectural consistency from initial draft to final merge.

When to Use This Skill

  • β€’Refactoring distinct modules where tasks are logically decoupled
  • β€’Implementing features based on a finalized architectural design document
  • β€’Adding independent API endpoints or utility functions
  • β€’Executing large-scale migrations that consist of repetitive, granular steps

How to Invoke This Skill

Example prompts that trigger this skill in Claude Code, Cursor, or Antigravity:

  • β€œRun subagent-driven development for this task list
  • β€œInitialize the subagent workflow for the current implementation plan
  • β€œDeploy implementer and reviewer subagents for these independent tasks
  • β€œStart the task cycle with mandatory spec and quality reviews
  • β€œBegin executing the TodoWrite list using subagent-driven development

Pro Tips

  • πŸ’‘Pre-validate Task Independence: Before invoking this skill, thoroughly review your implementation plan to confirm that tasks are genuinely independent to maximize parallelization benefits.
  • πŸ’‘Define Review Criteria Clearly: Provide explicit guidelines for 'spec compliance' and 'code quality' to guide the subagents and review processes effectively.
  • πŸ’‘Iterate on Plan Granularity: If subagents frequently struggle or reviews highlight hidden dependencies, consider refining your initial plan to break tasks into even smaller, more atomic units.

What this skill does

  • β€’Spawns isolated subagents to handle distinct coding tasks
  • β€’Enforces mandatory two-stage review for every atomic unit of work
  • β€’Validates specification compliance before proceeding to quality checks
  • β€’Maintains clear progress tracking via TodoWrite mechanisms
  • β€’Executes final holistic reviews across the entire implementation branch

When not to use it

  • βœ•Highly coupled tasks where state changes in one affect the others
  • βœ•Exploratory coding where the design or implementation plan is still fluid
  • βœ•Situations requiring frequent cross-session human decision-making

Example workflow

  1. Create a detailed implementation plan and parse it into individual tasks
  2. Generate a TodoWrite list tracking the status of each component
  3. Dispatch an implementer subagent to complete the first task
  4. Run the spec-reviewer subagent to verify functional requirements
  5. Execute the code-quality-reviewer subagent to enforce standards
  6. Perform a final cross-task review before finalizing the branch

Prerequisites

  • –A finalized implementation plan
  • –Clearly defined functional specifications
  • –The superpowers repository setup for subagent dispatching

Pitfalls & limitations

  • !Overhead caused by frequent subagent spinning for trivial tasks
  • !Difficulty managing state if the task list is not truly decoupled
  • !Increased token usage due to repetitive prompt cycles for every task

FAQ

How is this different from running one agent for everything?
This method isolates the implementation context, preventing the agent from becoming overwhelmed by growing history, and enforces strict review gates that a single agent might skip.
What happens if a review fails?
The workflow forces the implementer subagent to perform fixes, which are then passed through the same review sequence again until they meet all requirements.
Can I use this for non-independent tasks?
It is not recommended. Tight coupling between tasks can cause subagents to lack the necessary global state to make informed decisions.

How it compares

Unlike manual execution or generic prompts, this workflow mandates an automated, two-tier objective verification process for every single unit of work.

Source & trust

⭐ 230k starsπŸ“„ MITπŸ•’ Updated 2026-06-16
πŸ“„ Full skill instructions β€” original source: obra/superpowers
# 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

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

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: βœ… 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 modes

[Get Task 2 text and context (already extracted)]
[Dispatch implementation subagent with full task text + context]

Implementer: [No questions, proceeds]
Implementer:
- Added verify/repair modes
- 8/8 tests passing
- Self-review: All good
- Committed

[Dispatch spec compliance reviewer]
Spec reviewer: ❌ Issues:
- Missing: Progress reporting (spec says "report every 100 items")
- Extra: Added --json flag (not requested)

[Implementer fixes issues]
Implementer: Removed --json flag, added progress reporting

[Spec reviewer reviews again]
Spec reviewer: βœ… Spec compliant now

[Dispatch code quality reviewer]
Code reviewer: Strengths: Solid. Issues (Important): Magic number (100)

[Implementer fixes]
Implementer: Extracted PROGRESS_INTERVAL constant

[Code reviewer reviews again]
Code reviewer: βœ… Approved

[Mark Task 2 complete]

...

[After all tasks]
[Dispatch final code-reviewer]
Final reviewer: All requirements met, ready to merge

Done!


## Advantages

**vs. Manual execution:**
- Subagents follow TDD naturally
- Fresh context per task (no confusion)
- Parallel-safe (subagents don't interfere)
- Subagent can ask questions (before AND during work)

**vs. Executing Plans:**
- Same session (no handoff)
- Continuous progress (no waiting)
- Review checkpoints automatic

**Efficiency gains:**
- No file reading overhead (controller provides full text)
- Controller curates exactly what context is needed
- Subagent gets complete information upfront
- Questions surfaced before work begins (not after)

**Quality gates:**
- Self-review catches issues before handoff
- Two-stage review: spec compliance, then code quality
- Review loops ensure fixes actually work
- Spec compliance prevents over/under-building
- Code quality ensures implementation is well-built

**Cost:**
- More subagent invocations (implementer + 2 reviewers per task)
- Controller does more prep work (extracting all tasks upfront)
- Review loops add iterations
- But catches issues early (cheaper than debugging later)

## Red Flags

**Never:**
- Skip reviews (spec compliance OR code quality)
- Proceed with unfixed issues
- Dispatch multiple implementation subagents in parallel (conflicts)
- Make subagent read plan file (provide full text instead)
- Skip scene-setting context (subagent needs to understand where task fits)
- Ignore subagent questions (answer before letting them proceed)
- Accept "close enough" on spec compliance (spec reviewer found issues = not done)
- Skip review loops (reviewer found issues = implementer fixes = review again)
- Let implementer self-review replace actual review (both are needed)
- **Start code quality review before spec compliance is βœ…** (wrong order)
- Move to next task while either review has open issues

**If subagent asks questions:**
- Answer clearly and completely
- Provide additional context if needed
- Don't rush them into implementation

**If reviewer finds issues:**
- Implementer (same subagent) fixes them
- Reviewer reviews again
- Repeat until approved
- Don't skip the re-review

**If subagent fails task:**
- Dispatch fix subagent with specific instructions
- Don't try to fix manually (context pollution)

## Integration

**Required workflow skills:**
- **superpowers:writing-plans** - Creates the plan this skill executes
- **superpowers:requesting-code-review** - Code review template for reviewer subagents
- **superpowers:finishing-a-development-branch** - Complete development after all tasks

**Subagents should use:**
- **superpowers:test-driven-development** - Subagents follow TDD for each task

**Alternative workflow:**
- **superpowers:executing-plans** - Use for parallel session instead of same-session execution

How to Use This Skill Unit

Option A: Project-Specific (Recommended)

  1. Click "Download" above
  2. In your project, create the directory: .agent/skills/subagent-driven-development/
  3. Save the file as SKILL.md
  4. The agent will automatically discover the skill based on its description.

Option B: Global Installation (All Agents)

Save the file to these locations to make it available across all projects:

  • Claude Code: ~/.claude/skills/obra/superpowers/subagent-driven-development/SKILL.md
  • Cursor: ~/.cursor/skills/obra/superpowers/subagent-driven-development/SKILL.md
  • Antigravity: ~/.gemini/antigravity/skills/obra/superpowers/subagent-driven-development/SKILL.md

πŸš€ Install with CLI:
npx skills add obra/superpowers

Read the Master Guide: Mastering Agent Skills β†’

Related Skill Units

Recommended Rules

View more rules β†’

Recommended Workflows

View more workflows β†’

Recommended MCP Servers

View more MCP servers β†’

Take It Further

Maximize your productivity with these powerful resources

πŸ“‹

Define Your Standards

Set up coding standards to ensure this workflow produces consistent, high-quality results.

Browse Rules Library
πŸ“–

Master Workflows

Learn how to create custom workflows, use Turbo Mode, and build your automation library.

Complete Guide

How to use this Skill in Claude Code & Cursor

For Claude Code (CLI)

To use this skill in Claude Code, copy the rule content into your project's custom instructions or follow our Add-Skill CLI guide. This ensures Claude follows your standards during every code generation.

For Cursor & Windsurf

For Cursor or Windsurf, individual skills are best used in the "Rules for AI" section. This specific unit helps the agent avoid workflow & productivity issues, leading to cleaner, more efficient code.

Why the skill format matters: the standardized Agent Skills format lets your AI agent load detailed instructions only when they are relevant, keeping your prompt clean while improving results.

Source & attribution

This skill is categorized under Workflow & Productivity and is published by Jesse Vincent, maintained in obra/superpowers.

← Browse All Agent Skills
Sponsored AI assistant. Recommendations may be paid.