subagent-development

Execute plans using fresh subagent per task with code review between tasks. Use for high-quality iterative implementation.

242 stars

Best use case

subagent-development is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. Execute plans using fresh subagent per task with code review between tasks. Use for high-quality iterative implementation.

Execute plans using fresh subagent per task with code review between tasks. Use for high-quality iterative implementation.

Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.

Practical example

Example input

Use the "subagent-development" skill to help with this workflow task. Context: Execute plans using fresh subagent per task with code review between tasks. Use for high-quality iterative implementation.

Example output

A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.

When to use this skill

  • Use this skill when you want a reusable workflow rather than writing the same prompt again and again.

When not to use this skill

  • Do not use this when you only need a one-off answer and do not need a reusable workflow.
  • Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/subagent-development/SKILL.md --create-dirs "https://raw.githubusercontent.com/aiskillstore/marketplace/main/skills/dmjgilbert/subagent-development/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/subagent-development/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How subagent-development Compares

Feature / Agentsubagent-developmentStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Execute plans using fresh subagent per task with code review between tasks. Use for high-quality iterative implementation.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# Subagent-Driven Development

Fresh subagent per task + review between tasks = high quality, fast iteration.

## When to Use

- Executing implementation plans in current session
- Tasks are largely independent
- Want continuous progress with quality gates
- Need isolation between task contexts

## When NOT to Use

- Plan needs initial review/revision
- Tasks have tight sequential dependencies
- Simple changes that don't need isolation

## The Process

### 1. Load Plan & Create Tasks

```
1. Read the plan document
2. Create TodoWrite with all tasks
3. Verify plan is sound before starting
```

### 2. For Each Task

**Dispatch Implementation Subagent:**

```
Task([appropriate-agent], prompt="
Implement Task N from the plan:

**Task:** [Task description]

**Requirements:**
- Follow TDD (write failing test first)
- Implement minimal code to pass
- Verify all tests pass
- Commit with descriptive message

**Output:**
- What was implemented
- Test results
- Any issues encountered
")
```

### 3. Code Review Checkpoint

After EACH task, dispatch reviewer:

```
Task(code-reviewer, prompt="
Review implementation of Task N:

**What was implemented:** [From subagent output]
**Commits:** [Range]
**Requirements:** [From plan]

Evaluate:
- Implementation vs requirements match
- Code quality and patterns
- Test coverage
- Critical/Important/Minor issues
")
```

### 4. Address Feedback

| Severity | Action                      |
| -------- | --------------------------- |
| Critical | Fix immediately, re-review  |
| High     | Fix before next task        |
| Medium   | Fix if quick, else document |
| Low      | Document for later          |

### 5. Mark & Continue

1. Update TodoWrite to mark task complete
2. Proceed to next task
3. Repeat cycle

### 6. Final Review

After all tasks complete:

```
Task(code-reviewer, prompt="
Final review of complete implementation:

**Plan:** [Reference]
**All commits:** [Full range]

Verify:
- Complete plan compliance
- Architectural soundness
- No regressions
- Ready for merge
")
```

### 7. Finish

Transition to merge/PR workflow.

## Critical Rules

### Never:

- Skip code reviews between tasks
- Proceed with unresolved Critical issues
- Run multiple implementation subagents in parallel
- Implement without plan task reference

### Always:

- Fresh subagent for each task (clean context)
- Review after each task (quality gate)
- Fix Critical/High before continuing
- Document deferred issues

## Quality Gate Template

```markdown
## Task N Review

**Status:** [Pass/Fail]

### Critical Issues

[None / List]

### High Priority

[None / List]

### Medium Priority

[None / List]

### Minor/Suggestions

[None / List]

### Verdict

- [ ] Proceed to next task
- [ ] Fix issues first
- [ ] Needs discussion
```

## Benefits

- Clean context for each task (no accumulated confusion)
- Built-in quality gates catch issues early
- Reviewable progress at each step
- Easy to pause/resume at task boundaries

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