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Subagent Driven Development

Community
thiientv
subagent-driven-development

Executes an approved implementation plan through fresh implementer and reviewer agents for each task, with explicit handoffs, focused tests, and task-by-task integration. Use for multi-task work where independent agent context improves implementation and review quality. Not for a single small edit, an unresolved design, or a failure that still needs root-cause analysis.

Overview

Publisherthiientv
Repositorygodmode
Skill namesubagent-driven-development
Stars
99
Forks
76
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by thiientv on GitHub. Read the source before you install it.

Installation

Install the Subagent Driven Development AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/thiientv/godmode/tree/main/skills/subagent-driven-development
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/thiientv/godmode.git /tmp/godmode
mkdir -p .claude/skills
cp -r /tmp/godmode/skills/subagent-driven-development .claude/skills/subagent-driven-development
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Subagent Driven Development in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Subagent Driven Development on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Subagent Driven Development is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Subagent-Driven Development

Use fresh context to reduce author bias, while keeping the plan and evidence as the shared contract.

Before dispatch

  • Confirm the design and implementation plan are approved.
  • Create or select an isolated workspace when concurrent edits need it.
  • Split the plan into tasks with disjoint ownership and explicit interfaces.
  • Define the focused test and review gate for each task.
  • Prepare a compact handoff packet from handoff-packet.md. Include verified facts and portable anchors, not a full conversation dump or the expected solution.

Per-task cycle

  1. Give the implementer the handoff packet, repository rules, and only the context needed for the task. Ask it to edit the files directly and report evidence.
  2. Inspect the implementation diff and run the focused test yourself.
  3. Give a fresh reviewer the task contract, diff, and test output—not the implementer's private reasoning or your expected answer.
  4. Validate every finding against the real code path.
  5. Fix in scope, rerun proof, and only then dispatch the next task.

If a task reveals a design contradiction, stop and return to solution-design/implementation-planning; do not make the subagent silently redesign the system. Keep unrelated agents independent and close them when finished.

Integration

The coordinator owns final interfaces, conflict resolution, broader tests, and the completion claim. Agent success is an input, never final evidence. Use requesting-code-review for a final aggregate review and completion-verification for closure.

Completion condition

Every task has implementer evidence and reviewer disposition, the integrated branch passes its relevant checks, and remaining limits are visible.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Subagent Driven Development AI skill do?

Executes an approved implementation plan through fresh implementer and reviewer agents for each task, with explicit handoffs, focused tests, and task-by-task integration. Use for multi-task work where independent agent context improves implementation and review quality. Not for a single small edit, an unresolved design, or a failure that still needs root-cause analysis.

Why use Subagent Driven Development on TypingMind?

Because you install it once and use it with any model. Subagent Driven Development is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Subagent Driven Development in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/thiientv/godmode/tree/main/skills/subagent-driven-development. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Subagent Driven Development?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Subagent Driven Development?

As many as you like. As long as a model supports skills, you can use Subagent Driven Development with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Subagent Driven Development AI skill free?

Yes. It is published on GitHub by thiientv under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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