ralph-claude-orchestrator
Multi-agent orchestration patterns for Loop in Claude Code.
Skill by vcz-Gray
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: agent-building
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/ralph-claude-orchestrator
What's inside
- Skill name
ralph-claude-orchestrator- Description
- Multi-agent orchestration patterns for Loop in Claude Code. Uses the Agent tool for parallel subagent spawning.
- License
- MIT
- Instructions
- 126 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Loop Orchestrator — Multi-Agent Patterns (Claude Code)
Orchestration patterns optimized for Claude Code's Agent tool. Analyzes tasks and recommends the best combination of sequential loops and parallel subagents.
## Subagent Configuration (Claude Code Agent Tool)
```
Agent tool parameters:
- description: "short task description"
- prompt: "detailed instructions"
- subagent_type: "general-purpose" | "Explore" | "Plan" | "coder-fe" | "coder-be"
- isolation: "worktree" (gives agent an isolated repo copy)
- run_in_background: true (for parallel execution)
```
**Best practices:**
- Use `subagent_type: "Explore"` for read-only scanning — faster and safer
- Use `isolation: "worktree"` when agents write to files — prevents merge conflicts
- Launch parallel agents in a single message with multiple Agent tool calls
- Use `run_in_background: true` for truly independent work streams
## Orchestration Patterns
### Pattern 1: Parallel Explore then Sequential Implement
Best for: Large codebases where you need to understand before you change.
```
Phase 1 (Parallel Subagents via Agent tool):
├── Agent "fe-scan" (Explore, background): Scan src/frontend/** → .loophaus/reports/frontend.md
├── Agent "be-scan" (Explore, background): Scan src/backend/** → .loophaus/reports/backend.md
└── Agent "db-scan" (Explore, background): Scan src/db/** → .loophaus/reports/db.md
Phase 2 (Loop):
└── Read merged reports → implement fixes story by story via prd.json
```
### Pattern 2: Divide by Ownership
Best for: Multi-service changes where files do not overlap.
```
Spawn agents with isolation: "worktree":
├── Agent "fe-dev" (worktree): ONLY touch src/frontend/** → commit per item
├── Agent "be-dev" (worktree): ONLY touch src/backend/** → commit per item
└── Agent "auth-dev" (worktree): ONLY touch src/auth/** → commit per item
After all complete: merge branches, run integration tests
```
### Pattern 3: Fan-Out / Fan-In Research
Best for: Comprehensive analysis before any action.
```
Fan-Out (parallel Agent calls in single message):
├── Agent "security" (Explore): Audit for OWASP top 10 → findings.md
├── Agent "perf" (Explore): Profile and benchmark → findings.md
└── Agent "a11y" (Explore): Check accessibility → findings.md
Fan-In (Loop):
└── Synthesize all findings → create action plan → implement
```
### Pattern 4: Scout-Then-Execute
Best for: Unfamiliar codebases or risky changes.
```
Scout (single Agent, Explore type):
└── Map codebase, trace dependencies, identify risks → scout-report.md
Execute (Loop):
└── Use scout report as reference, implement changes
```
### Pattern 5: Pipeline with Checkpoints
Best for: Complex multi-stage transformations.
```
Stage 1 (Loop): Parse + validate → intermediate output
checkpoint: verify schema
Stage 2 (Loop): Transform → draft output
checkpoint: run regression tests
Stage 3 (Parallel Agents): Apply to multiple files
checkpoint: final integration test
```
## Decision Matrix
| Factor | Score |
| ------------------------------ | ----- |
| Files span 3+ directories | +2 |
| Items are independent | +2 |
| Need full context to decide | -2 |
| Order matters | -2 |
| 10+ similar items | +1 |
| Needs cross-file understanding | -1 |
| Multiple services/repos | +3 |
- **Score >= 3**: Recommend parallel subagents
- **Score 0-2**: Sequential loop, optional scout phase
- **Score < 0**: Single sequential Loop
## Report Convention
```
.loophaus/
└── reports/
├── {agent-name}.md # Individual agent output
├── merged.md # Combined findings
└── plan.md # Action plan
```
## Integration with Loop Interview
When `/loop-plan` invokes this skill, provide:From vcz-Gray/loophaus, MIT.
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ralph-claude-loop
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ralph-orchestrator
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Orchestration patterns for loop: subagent spawning, parallel exploration, and task decomposition strategies
SkillDFreshness: D★ 23Claude Code +9 - 0.482score
ralph-claude-cancel
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Cancel the active Loop in Claude Code
SkillDFreshness: D★ 23Claude Code +9
Signals
- Stars
- 23
- Forks
- 3
- Open issues
- 0
- Last commit (this folder)
- Mar 29, 2026 (7 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/vcz-Gray/loophaus
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from vcz-Gray
- 0.488score
ralph-claude-interview
vcz-Gray
Claude Code interview that generates PRD, activates the official loop stop hook, and starts working immediately.
SkillDFreshness: D★ 23Claude Code +9 - 0.488score
ralph-interview
vcz-Gray
Interactive interview that generates optimized loop commands with PRD-based phase tracking.
SkillDFreshness: D★ 23Claude Code +9 - 0.485score
ralph-claude-loop
vcz-Gray
Start a PRD-driven Loop in Claude Code.
SkillDFreshness: D★ 23Claude Code +9 - 0.485score
ralph-orchestrator
vcz-Gray
Orchestration patterns for loop: subagent spawning, parallel exploration, and task decomposition strategies
SkillDFreshness: D★ 23Claude Code +9 - 0.482score
ralph-claude-cancel
vcz-Gray
Cancel the active Loop in Claude Code
SkillDFreshness: D★ 23Claude Code +9
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ralph-claude-orchestrator skill. Agent Mart. https://agentmart.dev/skills/vcz-gray-ralph-claude-orchestrator (last updated 2026-10-24)