Agent skill · AI & Agents

token-efficient-delegation

Auto-injects token-efficient delegation patterns. Claude tokens are 50x more expensive than MiniMax/GLM/Kimi.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill token-efficient-delegation --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 9 KB
Bundled scripts: none
Path: skills/ai-llm/token-efficient-delegation/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Token-Efficient Delegation ## ⛔ CRITICAL: No Claude Subagents **HARD STOP:** Never use `model="haiku"`, `model="sonnet"`, or `model="opus"` in Task tool calls. - Always use: `model` parameter omitted (routes to MiniMax/GLM) - Or explicitly: general-purpose agent (uses cheaper default) - Enforced in: `.claude/settings.local.json` deny rules --- **Core Rule:** Claude = reasoning/decisions, MiniMax/GLM = research/exploration ## The Three Goals (Balance All Three) | Goal | Priority | Strategy | |------|----------|----------| | **Quality** | Keep Opus-level output | Claude synthesizes, subagents gather | | **Cost** | Minimize Claude tokens | Delegate exploration, batch analysis | | **Speed** | Fast execution | Parallel subagents, right model for task | --- ## Quick Decision Tree Before ANY task, ask: 1. **Research/exploration?** → Delegate to MiniMax (fast) or GLM (creative) 2. **Web search needed?** → Delegate to MiniMax 3. **Reading specific known file?** → Claude direct (Read tool) 4. **Analyzing 1-3 images?** → Claude direct 5. **Analyzing 10+ images?** → Parallel subagents (GLM for quality, MiniMax for speed) 6. **Complex reasoning/code?** → Claude direct 7. **Broad codebase sear

What's inside
Steps it walks through
  1. ⛔ CRITICAL: No Claude Subagents
  2. The Three Goals (Balance All Three)
  3. Quick Decision Tree
  4. Model Characteristics (Official Guidance)
  5. When to Use Each Model
  6. MiniMax M2.1 - Fast Instruction-Follower
  7. GLM-4.7 - Creative Problem-Solver
  8. GLM-4V - Vision Tasks
  9. Claude (Haiku/Sonnet/Opus) - Reasoning & Decisions
  10. Quality Preservation Patterns
  11. Pattern 1: Orchestrator-Worker Split
  12. Pattern 2: Parallel Research + Single Synthesis
  13. Pattern 3: Two-Stage Review
  14. Pattern 4: Specific Prompts
Ships with 1 file
  • metadata.json
More from claude-skill-registry
All skills →
About this skill
What does the token-efficient-delegation skill do?

Auto-injects token-efficient delegation patterns. Claude tokens are 50x more expensive than MiniMax/GLM/Kimi.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill token-efficient-delegation --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going