Skip to content
Agentmart
Submit a tool
This entry duplicates subagent-driven-development, which is the one we list in search.

subagent-driven-development

Use when executing implementation plans with independent tasks in the current session or facing 3+ independent issues that can be investigated without shared…

Skill by NeoLabHQ

IndexedGPL-3.0★ 1,782
Write a review

Chalk Labs

Need help deploying subagent-driven-development?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

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/neolabhq-subagent-driven-development-12462c

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.

We use your email only for this newsletter. Privacy

About

Use when executing implementation plans with independent tasks in the current session or facing 3+ independent issues that can be investigated without shared state or dependencies - dispatches fresh subagent for each task with code review between tasks, enabling fast iteration with quality gates

Use cases: productivity, agent-building

No 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 or facing 3+ independent issues that can be investigated without shared state or dependencies - dispatches fresh subagent for each task with code review between tasks, enabling fast iteration with quality gates
License
GPL-3.0
Instructions
386 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Subagent-Driven Development

Create and execute plan by dispatching fresh subagent per task or issue, with code and output review after each or batch of tasks.

**Core principle:** Fresh subagent per task + review between or after tasks = high quality, fast iteration.

Executing Plans through agents:

- Same session (no context switch)
- Fresh subagent per task (no context pollution)
- Code review after each or batch of task (catch issues early)
- Faster iteration (no human-in-loop between tasks)

## Supported types of execution

### Sequential Execution

When you have a tasks or issues that are related to each other, and they need to be executed in order, investigating or modifying them sequentially is the best way to go.

Dispatch one agent per task or issue. Let it work sequentially. Review the output and code after each task or issue.

**When to use:**

- Tasks are tightly coupled
- Tasks should be executed in order

### Parallel Execution

When you have multiple unrelated tasks or issues (different files, different subsystems, different bugs), investigatin or modifying them sequentially wastes time. Each task or investigation is independent and can happen in parallel.

Dispatch one agent per independent problem domain. Let them work concurrently.

**When to use:**

- Tasks are mostly independent
- Overral review can be done after all tasks are completed

## Sequential Execution Process

### 1. Load Plan

Read plan file, create TodoWrite with all tasks.

### 2. Execute Task with Subagent

For each task:

**Dispatch fresh subagent:**

```
Task tool (general-purpose):
  description: "Implement Task N: [task name]"
  prompt: |
    You are implementing Task N from [plan-file].

    Read that task carefully. Your job is to:
    1. Implement exactly what the task specifies
    2. Write tests (following TDD if task says to)
    3. Verify implementation works
    4. Commit your work
    5. Report back

    Work from: [directory]

    Report: What you implemented, what you tested, test results, files changed, any issues
```

**Subagent reports back** with summary of work.

### 3. Review Subagent's Work

**Dispatch code-reviewer subagent:**

```
Task tool (superpowers:code-reviewer):
  Use template at requesting-code-review/code-reviewer.md

  WHAT_WAS_IMPLEMENTED: [from subagent's report]
  PLAN_OR_REQUIREMENTS: Task N from [plan-file]
  BASE_SHA: [commit before task]
  HEAD_SHA: [current commit]
  DESCRIPTION: [task summary]
```

**Code reviewer returns:** Strengths, Issues (Critical/Important/Minor), Assessment

### 4. Apply Review Feedback

**If issues found:**

- Fix Critical issues immediately
- Fix Important issues before next task
- Note Minor issues

**Dispatch follow-up subagent if needed:**

```
"Fix issues from code review: [list issues]"
```

### 5. Mark Complete, Next Task

- Mark task as completed in TodoWrite
- Move to next task
- Repeat steps 2-5

### 6. Final Review

After all tasks complete, dispatch final code-reviewer:

- Reviews entire implementation
- Checks all plan requirements met
- Validates overall architecture

### 7. Complete Development

After final review passes:

- Announce: "I'm using the finishing-a-development-branch skill to complete this work."

From NeoLabHQ/context-engineering-kit, GPL-3.0.

More from NeoLabHQ/context-engineering-kit

Signals

Stars
1,782
Forks
163
Open issues
7
Last commit (this folder)
Mar 17, 2026 (7 months ago)
Last release
Aug 26, 2026 (2 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
GPL-3.0
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

Same skill elsewhere

Copies of this SKILL.md published by others; search shows only one of them.

More from NeoLabHQ

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get subagent-driven-development running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Goes to the Chalk Labs founders, not the newsletter. Privacy

Need help deploying subagent-driven-development?

CallGet help
Cite this page

subagent-driven-development skill. Agent Mart. https://agentmart.dev/skills/neolabhq-subagent-driven-development-12462c (last updated 2026-10-24)