Scan to join WeChat groupUnified Delegation Skill
⛔ CRITICAL: No Claude Subagents
NEVER spawn Claude models (Haiku, Sonnet, Opus) as subagents.
Enforced in .claude/settings.local.json deny rules.
Provider Selection Matrix
| Task Type | Best Provider | Why | Fallback | |-----------|--------------|-----|----------| | Complex reasoning | Kimi K2.5 | Most intelligent, 256K context | GLM-4.7 | | Image/vision (batch) | Kimi K2.5 | Built-in vision capability | GLM-4.6v | | Creative/brainstorming | GLM-4.7 | Strong creative problem-solving | Kimi | | Web research | MiniMax | Fast, reliable, cheap | GLM | | Simple file exploration | MiniMax | Quick turnaround | any | | Batch operations | GLM | Good parallelism | MiniMax | | Code review | MiniMax | Fast blind-spot check | Kimi |
Quick Decision Flow
┌─ Is it reasoning/decisions? ──────────────────┐
│ YES → Claude does it directly │
│ NO → Delegate to subagent ↓ │
├───────────────────────────────────────────────┤
│ │
│ ┌─ Does it need vision? ───────────────────┐ │
│ │ YES → Kimi K2.5 (or GLM-4.6v fallback) │ │
│ │ NO ↓ │ │
│ └──────────────────────────────────────────┘ │
│ │
│ ┌─ Is it complex/creative? ────────────────┐ │
│ │ Complex → Kimi K2.5 │ │
│ │ Creative → GLM-4.7 │ │
│ │ Simple → MiniMax │ │
│ └──────────────────────────────────────────┘ │
└───────────────────────────────────────────────┘
Provider Profiles
Kimi K2.5 (Most Capable)
Context: 256K tokens | Vision: Yes | Thinking mode: Yes
Best for:
- Complex multi-step reasoning
- Batch image analysis (10+ images)
- Tasks requiring deep understanding
- Fallback for failed GLM tasks
Launcher: .\scripts\start-kimi.ps1
API Config:
Base URL: https://api.moonshot.cn/anthropic/
Models: kimi-k2.5-thinking, kimi-k2-turbo-preview
GLM-4.7 (Creative)
Context: 128K tokens | Vision: GLM-4.6v variant | Thinking mode: Yes
Best for:
- Creative brainstorming
- Mathematical reasoning (95.7% AIME 2025)
- Parallel batch tasks
- Tool use orchestration
MCP: .cursor/mcp.json (GLM-4.6v configured)
MiniMax M2.1 (Fast & Cheap)
Context: 128K tokens | Vision: VLM API | Speed: Fastest
Best for:
- Quick web searches
- Simple file exploration
- Structured data extraction
- Code review for blind spots
Launcher: .\scripts\start-claude-minimax.ps1
MCP: .cursor/mcp.json (MiniMax configured)
Delegation Patterns
Pattern 1: Research → Claude Decides
1. Claude receives task requiring research
2. Claude spawns MiniMax: "Find all uses of X in codebase"
3. MiniMax returns findings
4. Claude reasons and implements
Pattern 2: Batch Vision Analysis
1. Claude needs to analyze 20 sprites
2. Claude spawns Kimi K2.5: "Analyze quality of each sprite"
3. Kimi returns analysis for all 20
4. Claude makes decisions based on report
Pattern 3: Creative Exploration
1. Claude needs alternative approaches
2. Claude spawns GLM-4.7: "Brainstorm 5 solutions for X"
3. GLM returns creative options
4. Claude selects and refines best approach
Pattern 4: Code Review
1. Claude writes code
2. Claude spawns MiniMax: "Check for bugs, edge cases, security issues"
3. MiniMax returns concerns
4. Claude addresses or dismisses with reasoning
Parallel Delegation
Launch multiple subagents in a single message:
Task(prompt="Research X", subagent_type="general-purpose") ←─┐
Task(prompt="Research Y", subagent_type="general-purpose") ←─┼─ Parallel
Task(prompt="Research Z", subagent_type="general-purpose") ←─┘
Rules:
- Independent tasks → parallel
- Dependent tasks → sequential
- Never chain Claude subagents
Background Execution (Token Suspension)
Problem: Claude tokens burn while waiting for subagent results.
Solution: Use run_in_background=true + end turn early.
Pattern: Fire-and-Retrieve
1. Claude receives task requiring research
2. Task(prompt="...", run_in_background=true) → returns output_file
3. Claude ends turn: "Research agent dispatched. Say 'continue' for results."
4. User says "continue"
5. TaskOutput(task_id="...", block=true) → retrieves results
6. Claude synthesizes and responds
When to Use Background Execution
| Scenario | Background? | Why | |----------|-------------|-----| | Research >30 sec | ✅ Yes | Saves expensive Claude wait time | | Batch image analysis | ✅ Yes | Long-running, user can wait | | Quick file lookup | ❌ No | Faster to wait inline | | Claude needs result to continue | ❌ No | Would block anyway |
Token Savings Calculation
Blocking: Claude waits 60s = 60s of Opus tokens burned
Background: Claude ends turn = 0s of Opus tokens burned
(subagent tokens are 50x cheaper)
Example Usage
# Fire (spawn and end turn immediately)
Task(
prompt="Analyze all 20 sprites in assets/sprites/",
subagent_type="general-purpose",
run_in_background=true
)
→ Returns: {task_id: "abc123", output_file: "/path/to/output"}
# ... Claude ends turn, tells user to say "continue" ...
# Retrieve (on next turn)
TaskOutput(task_id="abc123", block=true)
→ Returns: Full subagent analysis
Token Economics
| Provider | Relative Cost | When to Use | |----------|---------------|-------------| | Claude Opus | 50x | Final decisions, complex reasoning | | Claude Sonnet | 10x | Medium reasoning (avoid as subagent) | | Kimi K2.5 | 1x | Complex tasks, vision | | GLM-4.7 | 1x | Creative, batch | | MiniMax | 1x | Fast, simple |
Key insight: 1 hour Claude exploration = 50 hours subagent exploration (cost).
Common Mistakes
| Mistake | Impact | Fix | |---------|--------|-----| | Claude spawning Haiku | Expensive | Use MiniMax instead | | Sequential when parallel possible | Slow | Single message, multiple Tasks | | Kimi for simple lookup | Overkill | Use MiniMax | | MiniMax for complex reasoning | Poor quality | Use Kimi K2.5 | | Claude reading 10+ files | Context bloat | Delegate exploration |
Integration with Other Skills
/skill kimi-k2.5- Detailed Kimi setup and patterns/skill minimax-mcp- MiniMax MCP integration details/skill token-efficient-delegation- Full token economics/skill subagent-best-practices- General subagent patterns
[Opus 4.5 - 2026-01-29]