Delegate Router (Unified)

Tier: unified
Absorbs: agents-router, skills-router
Agent Registry: ~/.claude/config/agent-registry.yaml (single source of truth)

Consolidates: agents-router + skills-router
Purpose: All delegation to subagents and skills

Triggers

patterns:
  - complex, multi-step, research, explore, ultrawork
  - spawn, delegate, use agent
  - specialized skill needed
  - complexity > 0.7, files > 20, domains > 2

complexity_factors:
  files_affected: 0.30
  domains_involved: 0.25
  steps_required: 0.25
  research_needed: 0.20

Delegation Matrix

Source: All delegation decisions now reference ~/.claude/config/agent-registry.yaml

This provides:

• Power-law tiered agent selection (Tier 1: 80% of work, Tier 2: 15%, Tier 3: 5%)
• Complexity-based model selection (haiku: 0.1-0.3, sonnet: 0.4-0.7, opus: 0.7-1.0)
• External CLI integration (gemini for >100K tokens)
• Single source of truth for all delegation logic

Quick Reference (from agent-registry.yaml)

Tier 1 (High-Impact): sisyphus-junior, explore, oracle, engineer
Tier 2 (Specialized): librarian, architect, prometheus, momus, metis
Tier 3 (Utility): document-writer, frontend-engineer, multimodal-looker
External CLI: gemini (>100K tokens), codex (GPT preference), amp (Claude-specific)

Skill Discovery

lookup_order:
  1. ~/.claude/skills/ (active, 23 skills)
  2. ~/.claude/db/skill-db/ (archived, 67+ skills)
  3. ~/.claude/db/skill-library/ (archived, 48+ skills)

Decision Logic

if complexity > 0.7:
  → oracle (analysis) or engineer (implementation)
if files > 20:
  → sisyphus-junior (focused execution)
if domains > 2:
  → architect (system design)
if tokens > 100K:
  → gemini CLI (external, 2M context)
if specialized_skill_match:
  → invoke skill directly

Skill Categories (from skills-router)

Category	Skills	Triggers
Reasoning	think, reason, AoT, urf, ontolog	analyze, decompose, prove, formal
Research	deep-research, skill-discovery	research, thorough, citations
Context	context-orchestrator	lifelog, ltm, personal, pieces
Writing	dialectical, critique, saq	persuade, evaluate, exam
Development	terminal, component, mcp-builder	tui, cli, mcp

Decision Tree

Task Complexity Assessment
    │
    ├── Exploration needed?
    │   ├── Quick search? → Explore (quick)
    │   ├── Pattern finding? → Explore (medium)
    │   └── Deep analysis? → Explore (very thorough)
    │
    ├── Implementation?
    │   ├── From PRD? → engineer
    │   ├── Architecture? → architect
    │   └── Strategy? → prometheus
    │
    ├── Research?
    │   ├── Web/docs? → researcher
    │   ├── Claude Code help? → claude-code-guide
    │   └── Large codebase? → gemini CLI
    │
    ├── Multi-domain?
    │   └── sisyphus-junior or architect
    │
    └── Skill match?
        └── Invoke via Skill tool

Usage Patterns

Parallel Agents (Independent Tasks)

# Spawn together in single message
Task(explore, "find auth files") + Task(librarian, "search auth docs")

Sequential Agents (Dependent Tasks)

# Chain results
Task(explore, "find code") → Task(oracle, "debug issue")

Background Execution (Long-Running)

Task(sisyphus-junior, task, run_in_background=true)
→ TaskOutput(task_id) to retrieve results

References

• Original agents-router: ~/.claude/db/skills/routers/agents-router/
• Original skills-router: ~/.claude/db/skills/routers/skills-router/