Skip to content
TrustedSkillsbeta
Back to all skills

Subagent Driven Development

Checked
davila7·vlatest·agents·MIT

This skill orchestrates multiple AI subagents to collaboratively develop solutions, boosting efficiency and innovation through parallel processing.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add davila7/claude-code-templates --skill subagent-driven-development -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

davila7

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned davila7/claude-code-templates at 79182c51fb.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
79182c51fb
Manifest
cli-tool/components/skills/ai-research/subagent-driven-development/SKILL.md
Scanned
4 files, 391 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

The subagent-driven-development skill orchestrates multiple specialized AI agents to collaborate on complex software engineering tasks, breaking down monolithic problems into manageable sub-problems. It automates the workflow of planning, coding, testing, and refining codebases by delegating specific responsibilities to distinct agent instances.

When to use it

  • You need to build a large-scale application where a single LLM context window cannot hold all requirements and code simultaneously.
  • Your project requires parallel execution of tasks, such as generating unit tests while the main logic is being written.
  • You want to maintain high code quality through automated peer review cycles where one agent critiques another's implementation.
  • You are working on a legacy codebase and need agents to refactor specific modules without disrupting unrelated system components.

Key capabilities

  • Decomposes complex development goals into independent sub-tasks for specialized agents.
  • Manages inter-agent communication to ensure context is passed correctly between team members.
  • Executes iterative cycles of generation, review, and refinement autonomously.
  • Maintains separate contexts for different aspects of the project to prevent hallucination.

Example prompts

  • "Create a full-stack e-commerce dashboard by assigning one agent to handle React frontend components and another to manage Node.js backend APIs."
  • "Refactor this legacy Python module into an object-oriented design, using one agent to analyze dependencies and another to implement the changes."
  • "Generate a comprehensive test suite for my new authentication service, delegating unit test creation to one agent and integration test setup to another."

Tips & gotchas

Ensure your initial prompt clearly defines the roles and goals for each sub-agent to prevent conflicting instructions. Monitor the handoff points between agents closely, as context loss during delegation can lead to inconsistent code styles or logic errors.