MCP HubMCP Hub
Zurück zu Fähigkeiten

subagent-driven-development

lifangda
Aktualisiert Today
919 Ansichten
11
11
Auf GitHub ansehen
Entwicklunggeneral

Über

Diese Fähigkeit führt Implementierungspläne aus, indem für jede unabhängige Aufgabe ein neuer Subagent bereitgestellt wird, mit Code-Review zwischen den Aufgaben. Sie ermöglicht schnelle Iterationen, während Qualitätssicherungsschritte durch diesen Review-Prozess gewahrt bleiben. Nutzen Sie sie, wenn Sie überwiegend unabhängige Aufgaben innerhalb derselben Sitzung bearbeiten, um kontinuierlichen Fortschritt mit integrierten Qualitätsprüfungen zu gewährleisten.

Schnellinstallation

Claude Code

Empfohlen
Primär
npx skills add lifangda/claude-plugins
Plugin-BefehlAlternativ
/plugin add https://github.com/lifangda/claude-plugins
Git CloneAlternativ
git clone https://github.com/lifangda/claude-plugins.git ~/.claude/skills/subagent-driven-development

Kopieren Sie diesen Befehl und fügen Sie ihn in Claude Code ein, um diese Fähigkeit zu installieren

Dokumentation

Subagent-Driven Development

Execute plan by dispatching fresh subagent per task, with code review after each.

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

Overview

vs. Executing Plans (parallel session):

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

When to use:

  • Staying in this session
  • Tasks are mostly independent
  • Want continuous progress with quality gates

When NOT to use:

  • Need to review plan first (use executing-plans)
  • Tasks are tightly coupled (manual execution better)
  • Plan needs revision (brainstorm first)

The 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."
  • REQUIRED SUB-SKILL: Use superpowers:finishing-a-development-branch
  • Follow that skill to verify tests, present options, execute choice

Example Workflow

You: I'm using Subagent-Driven Development to execute this plan.

[Load plan, create TodoWrite]

Task 1: Hook installation script

[Dispatch implementation subagent]
Subagent: Implemented install-hook with tests, 5/5 passing

[Get git SHAs, dispatch code-reviewer]
Reviewer: Strengths: Good test coverage. Issues: None. Ready.

[Mark Task 1 complete]

Task 2: Recovery modes

[Dispatch implementation subagent]
Subagent: Added verify/repair, 8/8 tests passing

[Dispatch code-reviewer]
Reviewer: Strengths: Solid. Issues (Important): Missing progress reporting

[Dispatch fix subagent]
Fix subagent: Added progress every 100 conversations

[Verify fix, mark Task 2 complete]

...

[After all tasks]
[Dispatch final code-reviewer]
Final reviewer: All requirements met, ready to merge

Done!

Advantages

vs. Manual execution:

  • Subagents follow TDD naturally
  • Fresh context per task (no confusion)
  • Parallel-safe (subagents don't interfere)

vs. Executing Plans:

  • Same session (no handoff)
  • Continuous progress (no waiting)
  • Review checkpoints automatic

Cost:

  • More subagent invocations
  • But catches issues early (cheaper than debugging later)

Red Flags

Never:

  • Skip code review between tasks
  • Proceed with unfixed Critical issues
  • Dispatch multiple implementation subagents in parallel (conflicts)
  • Implement without reading plan task

If subagent fails task:

  • Dispatch fix subagent with specific instructions
  • Don't try to fix manually (context pollution)

Integration

Required workflow skills:

  • writing-plans - REQUIRED: Creates the plan that this skill executes
  • requesting-code-review - REQUIRED: Review after each task (see Step 3)
  • finishing-a-development-branch - REQUIRED: Complete development after all tasks (see Step 7)

Subagents must use:

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

Alternative workflow:

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

See code-reviewer template: requesting-code-review/code-reviewer.md

GitHub Repository

lifangda/claude-plugins
Pfad: cli-tool/skills-library/development-workflows/subagent-driven-development

Verwandte Skills

algorithmic-art

Meta

This Claude Skill creates original algorithmic art using p5.js with seeded randomness and interactive parameters. It generates .md files for algorithmic philosophies, plus .html and .js files for interactive generative art implementations. Use it when developers need to create flow fields, particle systems, or other computational art while avoiding copyright issues.

Skill ansehen

executing-plans

Design

Use the executing-plans skill when you have a complete implementation plan to execute in controlled batches with review checkpoints. It loads and critically reviews the plan, then executes tasks in small batches (default 3 tasks) while reporting progress between each batch for architect review. This ensures systematic implementation with built-in quality control checkpoints.

Skill ansehen

cost-optimization

Andere

This Claude Skill helps developers optimize cloud costs through resource rightsizing, tagging strategies, and spending analysis. It provides a framework for reducing cloud expenses and implementing cost governance across AWS, Azure, and GCP. Use it when you need to analyze infrastructure costs, right-size resources, or meet budget constraints.

Skill ansehen

imsg

Kommunikation

imsg is a CLI tool for macOS that lets you programmatically interact with iMessage/SMS via the Messages.app. It enables developers to list chats, view message history, watch conversations in real-time, and send messages or attachments. Use this skill to automate messaging tasks or integrate iMessage/SMS functionality into your development workflows.

Skill ansehen