Agent skill
agent-workflow
Multi-agent development workflow system. Load when orchestrating development tasks, spawning subagents, or managing workflow phases.
Stars
232
Forks
15
Install this agent skill to your Project
npx add-skill https://github.com/aiskillstore/marketplace/tree/main/skills/clouder0/agent-workflow
SKILL.md
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
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