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AGENT SKILL

opc-architecture

opc-architecture 是面向软件开发的 Agent Skill,来自 parcadei/Continuous-Claude-v3。查看技能说明、操作步骤与使用约定,并通过原项目了解详细用法。

OPC Architecture Understanding

SKILL.md

下载 MD ↓
nameopc-architecture
descriptionOPC Architecture Understanding
user-invocable

OPC Architecture Understanding

OPC (Orchestrated Parallel Claude) extends Claude Code - it does NOT replace it.

Core Concept

Claude Code CLI is the execution engine. OPC adds orchestration via: - Hooks - Intercept Claude Code events (PreToolUse, PostToolUse, SessionStart, etc.) - Skills - Load prompts into Claude Code - Scripts - Called by hooks/skills for coordination - Database - Store state between Claude Code instances

How Agents Work

When you spawn an agent: 1. Main Claude Code instance (your terminal) runs hook on Task tool 2. Hook calls subprocess.Popen(["claude", "-p", "prompt"]) 3. A NEW Claude Code instance spawns as child process 4. Child runs independently, reads/writes to coordination DB 5. Parent tracks child via PID in DB

$ claude                         ← Main Claude Code (your terminal)
    ↓ Task tool triggers hook
    ↓ subprocess.Popen(["claude", "-p", "..."])
        ├── claude -p "research..."   ← Child agent 1
        ├── claude -p "implement..."  ← Child agent 2
        └── claude -p "test..."       ← Child agent 3

What OPC Is NOT

  • OPC is NOT a separate application
  • OPC does NOT run without Claude Code
  • OPC does NOT intercept Claude API calls directly
  • OPC does NOT modify Claude Code's internal behavior

What OPC IS

  • OPC IS hooks that Claude Code loads from .claude/hooks/
  • OPC IS skills that Claude Code loads from .claude/skills/
  • OPC IS scripts that hooks/skills call for coordination
  • OPC IS a database backend for state across Claude Code instances

Key Files

.claude/
├── hooks/           ← TypeScript hooks that Claude Code runs
├── skills/          ← SKILL.md prompts that Claude Code loads
├── settings.json    ← Hook registration, Claude Code reads this
└── cache/           ← State files, agent outputs

opc/
├── scripts/         ← Python scripts called by hooks
├── docker-compose.yml ← PostgreSQL, Redis, PgBouncer
└── init-db.sql      ← Database schema

Coordination Flow

  1. User runs claude in terminal
  2. Claude Code loads hooks from .claude/settings.json
  3. User says "spawn a research agent"
  4. Claude uses Task tool
  5. PreToolUse hook fires, checks resources
  6. Hook spawns claude -p "research..." as subprocess
  7. Hook stores PID in PostgreSQL
  8. Child agent runs, writes output to .claude/cache/agents/<id>/
  9. Child completes, broadcasts "done" to PostgreSQL
  10. Parent checks DB, reads child's output file

Remember

  • Every "agent" is just another claude -p process
  • Hooks intercept events, they don't create new functionality
  • All coordination happens via files and PostgreSQL
  • Claude Code is always the execution engine

来源:parcadei/Continuous-Claude-v3 · MIT 许可 · 许可原文 · MD 为来源页保存的历史版本