菜单
Token-efficient code generation pipeline using hosted LLM. Triggers on "speed-run", "fast build", "turbo build", "use hosted LLM", "use cerebras". Routes to turbo (direct codegen), showdown (parallel competition), or any% (parallel exploration).
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Scoring framework for speed-run showdown and any-percent. Invoked at Phase 4 to evaluate implementations using 5-criteria scoring. Do not invoke directly - called by showdown/any-percent.
Same design, multiple parallel runners compete using hosted LLM for code generation. Each runner creates own plan, generates code via Cerebras, pick the best. Part of speed-run pipeline.
Explore different architectural approaches in parallel using hosted LLM for code generation. No restrictions on approach - fastest path to comparing real implementations. Part of speed-run pipeline.
Direct code generation via hosted LLM (Cerebras). Write a contract prompt, generate code, fix surgically. Part of speed-run pipeline.
| name | speed-run |
| description | Token-efficient code generation pipeline using hosted LLM. Triggers on "speed-run", "fast build", "turbo build", "use hosted LLM", "use cerebras". Routes to turbo (direct codegen), showdown (parallel competition), or any% (parallel exploration). |
Token-efficient code generation pipeline. Uses hosted LLM (Cerebras) for fast, cheap first-pass generation. Claude handles architecture and surgical fixes.
Announce: "I'm using speed-run for token-efficient code generation."
ALWAYS run this first:
mcp__speed-run__check_status
If status is error / key not set:
Speed-run requires a Cerebras API key for hosted code generation.
Setup (pick one):
Option A (recommended): Add to ~/.claude/settings.json:
{ "env": { "CEREBRAS_API_KEY": "your-key" } }
Option B: Add to ~/.zshrc:
export CEREBRAS_API_KEY="your-key"
Get a free key at: https://cloud.cerebras.ai
Then restart Claude Code.
STOP here. Do not fall back to Claude direct generation — the whole point of speed-run is hosted LLM. If the user wants Claude direct, they should use test-kitchen instead.
If check_status returned OK, present options:
Speed-run ready! Cerebras API connected.
How would you like to proceed?
1. Turbo - Direct code generation (single task, fast)
→ Best for: one feature, algorithmic code, boilerplate
2. Showdown - Parallel competition (same design, multiple runners)
→ Best for: medium-high complexity, want best implementation
3. Any% - Parallel exploration (different approaches)
→ Best for: unsure of architecture, want to compare designs
Routing:
speed-run:turbospeed-run:showdownspeed-run:any-percent| Subskill | Description |
|---|---|
speed-run:turbo | Direct hosted codegen via contract prompts |
speed-run:showdown | Parallel same-design competition via hosted LLM |
speed-run:any-percent | Parallel approach exploration via hosted LLM |
| Situation | Use |
|---|---|
| Want token savings on code generation | Speed-run |
| Generating algorithmic code (parsers, state machines) | Speed-run:turbo |
| Want parallel competition with fast generation | Speed-run:showdown |
| Want to explore approaches with fast generation | Speed-run:any% |
| No API key / don't want external LLM | Test Kitchen |
| CRUD / simple operations | Test Kitchen (Claude direct is cheaper) |
| Need 100% first-pass accuracy | Test Kitchen |