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Subagent Driven Development

  • 51 installs
  • 7 repo stars
  • Updated January 15, 2026
  • eyadsibai/ltk

Helps with ai & agent building tasks.

About

subagent-driven-development is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted development.

  • subagent-driven-development
  • AI & Agent Building
  • AI-coding skill

Subagent Driven Development by the numbers

  • 51 all-time installs (skills.sh)
  • Ranked #7,219 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Jul 30, 2026 (Skillselion catalog sync)
npx skills add https://github.com/eyadsibai/ltk --skill subagent-driven-development

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Listed on Skillselion
Installs51
repo stars7
Last updatedJanuary 15, 2026
Repositoryeyadsibai/ltk

What it does

Helps with ai & agent building tasks.

Files

SKILL.mdMarkdownGitHub ↗

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

Use when:

  • Have implementation plan
  • Tasks are mostly independent
  • Want to stay in current session
  • Want fast iteration with review checkpoints

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

Setup

1. Read plan, extract all tasks with full text and context 2. Create TodoWrite with all tasks

Per Task

1. Dispatch implementer subagent with full task text + context 2. If subagent asks questions - Answer, provide context 3. Implementer implements, tests, commits, self-reviews 4. Dispatch spec reviewer subagent - Verify code matches spec 5. If spec issues - Implementer fixes, reviewer re-reviews 6. Dispatch code quality reviewer subagent - Review for quality 7. If quality issues - Implementer fixes, reviewer re-reviews 8. Mark task complete in TodoWrite

After All Tasks

1. Dispatch final code reviewer for entire implementation 2. Use ltk:finishing-a-development-branch to complete

Two-Stage Review

Stage 1: Spec Compliance

  • Does implementation match spec EXACTLY?
  • Nothing missing?
  • Nothing extra (over-building)?

Stage 2: Code Quality (only after spec passes)

  • Clean code?
  • Good test coverage?
  • Maintainable?

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)

Quality gates:

  • Self-review catches issues before handoff
  • Two-stage review: spec compliance, then code quality
  • Review loops ensure fixes actually work

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
  • Ignore subagent questions
  • Accept "close enough" on spec compliance
  • Skip review loops
  • Start code quality review before spec compliance passes
  • 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

Integration

Required workflow skills:

  • ltk:writing-plans - Creates the plan this skill executes
  • ltk:requesting-code-review - Code review template for reviewer subagents
  • ltk:finishing-a-development-branch - Complete development after all tasks

Subagents should use:

  • ltk:test-driven-development - Subagents follow TDD for each task

Alternative workflow:

  • ltk:executing-plans - Use for parallel session instead of same-session execution

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