Agent workflow

Skill ComeOnOliver/skillshub/skills/aiskillstore/marketplace/clouder0/agent-workflow

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Install

npx -y skills add ComeOnOliver/skillshub --skill agent-workflow

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What its author says it does

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

SKILL.md

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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

REQUIREMENTS - PM gathers and clarifies user needs
ARCHITECTURE - Architects design solutions in parallel
IMPLEMENTATION - Executor manages parallel implementers
VERIFICATION - QA validates the implementation
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