🤖
AI EngineeringPython

Subagent-Driven Development

by GanyuanRan

Subagent-Driven Development is an AI Engineering skill for Claude Code, published by GanyuanRan in Aegis.

1.1K stars50 forkson GanyuanRan/AegisAdded 2026/08/21+2% in starsRepository updated 2026/08/19
agent-skillsai-agentsai-codingarchitecture-driven-developmentawsome-coding-pluginbaseline-firstclaude-codecodexcoding-agentsdivedsh-pluginevidence-drivenfirst-principlesopencodesoftware-architecturespec-driven-developmentspec-kit
Install in seconds
Install Subagent-Driven Development
Copy Subagent-Driven Development into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/GanyuanRan/Aegis/tree/main/skills/subagent-driven-development ~/.claude/skills/subagent-driven-development

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/GanyuanRan/Aegis.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
skills/subagent-driven-development/SKILL.md in GanyuanRan/Aegis
Installs to
~/.claude/skills/subagent-driven-development
Collection
One of 22 skills cataloged from this repository
Category
AI Engineering2451 skills

What Subagent-Driven Development does

Subagent-Driven Development uses fresh subagents for each independent plan task, followed by spec and code-quality reviews. Use it when coordinating written implementation plans in the current session; otherwise keep work inline.

Subagent-Driven Development is cataloged under AI Engineering on DirSkills. Subagent-Driven Development comes from a repository tagged agent-skills, ai-agents, ai-coding, architecture-driven-development and awsome-coding-plugin.

Documentation

README

Execute

→ Have an implementation plan with independent tasks? → Fresh subagent per task + two-stage review.

  1. Read plan, extract all tasks, create TodoWrite
  2. Per task: dispatch implementer → answer questions → implementer completes
  3. Review stage 1 (spec compliance) → fix gaps → re-review until ✅
  4. Review stage 2 (code quality) → fix issues → re-review until ✅
  5. Coordinator verifies, commits the coherent task, updates checkpoint/drift → next task → All tasks done: final review → verification receipt; branch finishing only when needed.

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.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Subagent-Driven Development

  • What else does GanyuanRan publish alongside Subagent-Driven Development?

    Subagent-Driven Development is one of 22 skills that DirSkills catalogs from GanyuanRan/Aegis, the repository it ships in. Its siblings there include Aegis Goal Framing, Anti-Entropy Governance and Brainstorming. Each one is a separate skill with its own page in this directory, installs the same way Subagent-Driven Development does, and is maintained by GanyuanRan in that same repository. The rest of the collection is listed on the GanyuanRan/Aegis page.

  • How does Subagent-Driven Development compare to other AI Engineering skills?

    Subagent-Driven Development ranks #1286 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Subagent-Driven Development against them. Open each page to compare what they document and how they install.

More from GanyuanRan/Aegis

Subagent-Driven Development is one of 22 skills cataloged on DirSkills from GanyuanRan/Aegis.

See all 22 skills
🎯
1w ago

Aegis Goal Framing

Aegis Goal Framing creates a thin goal frame before execution when a user sets an Aegis goal or asks for scope, success evidence, or stop conditions. It is used to define boundaries before routing into the next workflow.
AI Engineering
1.1K50
🧭
1w ago

Anti-Entropy Governance

Anti-Entropy Governance helps decide when to delete old code paths, collapse duplicate owners, or remove fallbacks safely. It also guards schema, persistence, and source-of-truth changes that need explicit confirmation.
AI Engineering
1.1K50
🧠
1w ago

Brainstorming

Brainstorming helps turn ambiguous or high-complexity ideas into clearer designs by asking focused questions, comparing approaches, and shaping a spec before implementation. Use it for new features, architecture, contracts, or plan pressure-tests.
AI Engineering
1.1K50
🔍
1w ago

Code Review Reception

Code Review Reception helps you evaluate code review feedback before making changes. Use it when comments are unclear, risky, disputed, or may conflict with the codebase or prior decisions.
Quality
1.1K50
✍️
1w ago

Communicating Concisely

Communicating Concisely shortens responses when the user asks for caveman mode, fewer tokens, or brief answers. It drops filler and keeps technical details exact until turned off.
Writing
1.1K50
🤖
1w ago

Dispatching Parallel Agents

Dispatching Parallel Agents delegates unrelated tasks to separate agents with isolated context. Use it when 2+ independent problems can be worked in parallel; otherwise handle them inline or with a planned subagent workflow.
AI Engineering
1.1K50