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PythonReactSEOPDF
GitHub Skill

agent-workflow

Multi-agent development workflow system. Load when orchestrating development tasks, spawning subagents, or managing workflow phases.

aiskillstore☆ 123 Étoiles du dépôt6 Forks du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

Voir la source ↗Guides

Instructions

Agent Workflow System

This skill provides the multi-agent workflow orchestration system.

When to Use

Load when:

  • Starting a new development task
  • Spawning subagents for parallel work
  • Managing workflow phase transitions
  • Coordinating multi-agent collaboration

Core Concepts

Workflow Phases
  1. REQUIREMENTS - PM gathers and clarifies user needs
  2. ARCHITECTURE - Architects design solutions in parallel
  3. IMPLEMENTATION - Executor manages parallel implementers
  4. VERIFICATION - QA validates the implementation
  5. REFLECTION - Capture learnings for evolution
Agent Hierarchy

Tier-1 (can spawn subagents):

  • PM - Requirements gathering
  • Architect - Technical design
  • Roundtable - Design synthesis
  • Executor - Implementation orchestration
  • QA - System verification

Tier-2 (focused workers):

  • Explorer - Fast codebase scouting
  • Implementer - Focused code writing
  • Verifier - Independent verification
  • Tester - Test execution
  • Contract Resolver - Handle blocked tasks
  • Reflector - Extract learnings
  • Evolver - System improvement

Agent Definitions

Tier-1 Agents:

  • @.claude/agents/pm.md
  • @.claude/agents/architect.md
  • @.claude/agents/roundtable.md
  • @.claude/agents/executor.md
  • @.claude/agents/qa.md

Tier-2 Agents:

  • @.claude/agents/explorer.md
  • @.claude/agents/implementer.md
  • @.claude/agents/verifier.md
  • @.claude/agents/tester.md
  • @.claude/agents/contract-resolver.md
  • @.claude/agents/reflector.md
  • @.claude/agents/evolver.md

Spawning Pattern

Custom Agents (Dotagent System)

Use lowercase names matching agent definitions:

Task(
  subagent_type: "explorer",    # Fast codebase scouting
  model: "haiku",
  prompt: "Query: ... Output: ..."
)

Task(
  subagent_type: "implementer", # Focused code writing
  model: "sonnet",
  prompt: "Task: ... Boundaries: ... Output: ..."
)

Task(
  subagent_type: "pm",          # Requirements gathering
  model: "sonnet",
  prompt: "Request: ... Output: memory/reports/demand.json"
)
Built-in Agents (Claude Code)

These are different from custom agents above:

Task(
  subagent_type: "Explore",     # Built-in: quick codebase exploration
  model: "haiku",
  prompt: "Find all API endpoints..."
)

Task(
  subagent_type: "Plan",        # Built-in: planning agent
  model: "sonnet",
  prompt: "Plan the implementation..."
)
Subagent Type Reference
Custom (Dotagent) Model Purpose
pm sonnet Requirements gathering
architect opus Technical design
roundtable opus Design synthesis
executor sonnet Implementation orchestration
qa sonnet System verification
explorer haiku Fast codebase scouting
implementer sonnet Focused code writing
verifier haiku Independent verification
tester haiku Test execution
contract-resolver sonnet Handle blocked tasks
reflector sonnet Extract learnings
evolver opus System improvement
Built-in (Claude Code) Purpose
Explore Quick codebase exploration
Plan Planning and analysis
general-purpose Flexible multi-step tasks

Workflow State

@workflows/main.json @memory/state/phase.json

Exemples

Consultez les exemples du dépôt source.

Voir la source ↗

Historique source

Date d’indexation
2026-01-20
Mise à jour de l’index
2026-01-28
Branch
main

Les dates concernent ce répertoire. Consultez le dépôt pour l’historique du code.

GitHub ↗

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