菜单
FAST code generation via Z.ai glm-4.6 model. Use for rapid test generation, boilerplate code, repetitive patterns, and bulk file creation. Ideal when speed matters more than nuance. Do NOT use for complex architectural decisions or security-critical code.
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
Tiered planning orchestrator. Runs the full SPARC+ pipeline (research, spec, decide, pseudo, data, arch, ux, design, test, ops) as a parallel DAG, scaled by build stage (mvp/beta/enterprise) via inclusion profiles. Enforces two gates: every success criterion is executable (verifiable-done) and every step is unambiguous (haiku-executable). Use as the entry point for any non-trivial build instead of cfn-spa-plan.
Post-planning completeness review. Extracts assumptions, traces dependencies, analyzes blast radius, checks alpha-readiness, surfaces gaps before implementation. Use after writing any plan that touches data, APIs, or shared state.
SPARC Specification phase. Make testable acceptance criteria, edge cases, pre/post conditions, invariants BEFORE planning implementation. Use when starting any non-trivial task to lock intent, surface ambiguity early.
Test-strategy phase of cfn-megaplan. Designs test depth properly: fixtures/test-data, the unit/integration/contract/e2e/load split, mocking strategy, and non-functional tests, instead of lumping everything into a vague red phase. Feeds Bar A (verifiable-done): every acceptance criterion becomes a concrete runnable check. Use after cfn-spec, cfn-arch, and (if frontend) cfn-ux.
Pre-edit backup + post-edit validation for safe file edits. Use to capture file state before edits, validate changes after edits, revert files to prior state, or ensure edit safety via auto backup/validation hooks.
Extract complete Redis coordination data from completed CFN Loop tasks and structure into comprehensive JSON analysis files
| name | cfn-cerebras-code-generator |
| description | FAST code generation via Z.ai glm-4.6 model. Use for rapid test generation, boilerplate code, repetitive patterns, and bulk file creation. Ideal when speed matters more than nuance. Do NOT use for complex architectural decisions or security-critical code. |
| version | 2.0.0 |
| tags | ["code-generation","fast","zai","glm-4.6","tests","boilerplate"] |
Generates code using Z.ai glm-4.6 model for fast test and code generation. Use this for rapid iteration when generating tests, boilerplate, and repetitive code patterns.
# Required environment variables
export ZAI_API_KEY="your-api-key" # or CEREBRAS_API_KEY for legacy
export ZAI_MODEL="glm-4.6" # Fast, cost-effective model
# Optional settings
export CEREBRAS_BASE_URL="https://api.cerebras.ai/v1"
export CONTEXT_DB_PATH="./.claude/skills/cfn-cerebras-code-generator/contexts.db"
# Basic code generation
./generate-code.sh \
--file-path "/path/to/file.ext" \
--prompt "Create a REST API endpoint" \
--context-files "src/models.py,src/utils.py"
# With explicit model
./generate-code.sh \
--model "llama-3.1-70b" \
--file-path "/path/to/file.py" \
--prompt "Implement authentication middleware"