mirror of https://github.com/catlog22/Claude-Code-Workflow.git synced 2026-03-21 19:08:17 +08:00

Files

catlog22 d5b6480528 feat: add workflow-tune skill for multi-step workflow pipeline optimization

New skill that executes workflow step chains sequentially, inspects artifacts,
analyzes quality via ccw cli resume chain (Gemini), and generates optimization
reports. Supports 4 input formats: pipe-separated commands, comma-separated
skills, JSON file, and natural language with semantic decomposition.

Key features:
- Orchestrator + 5-phase progressive loading architecture
- Intent-to-tool mapping with ambiguity resolution for NL input
- Command document generation with pre-execution confirmation loop
- Per-step analysis + cross-step synthesis via resume chain
- Auto-fix with user confirmation safety gate

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

2026-03-20 14:55:47 +08:00

2.3 KiB

Raw Blame History

Workflow Evaluation Criteria

Workflow 调优评估标准，由 Phase 03 (Analyze Step) 和 Phase 04 (Synthesize) 引用。

Per-Step Dimensions

Dimension	Description
Execution Success	命令是否成功执行，退出码是否正确
Output Completeness	产物是否齐全，预期文件是否生成
Artifact Quality	产物内容质量 — 非空、格式正确、内容有意义
Handoff Readiness	产物是否满足下一步的输入要求，格式兼容性

Per-Step Scoring Guide

Range	Level	Description
90-100	Excellent	执行完美，产物高质量，下游可直接消费
80-89	Good	执行成功，产物基本完整，微调即可衔接
70-79	Adequate	执行成功但产物有缺失或质量一般
60-69	Needs Work	部分失败或产物质量差，衔接困难
0-59	Poor	执行失败或产物无法使用

Workflow-Level Dimensions

Dimension	Description
Coherence	步骤间的逻辑顺序是否合理，是否形成完整流程
Handoff Quality	步骤间的数据传递是否顺畅，格式是否匹配
Redundancy	是否存在步骤间的工作重叠或重复
Efficiency	整体流程是否高效，有无不必要的步骤
Completeness	是否覆盖所有必要环节，有无遗漏

Analysis Depth Profiles

Quick

每步 3-5 要点
关注: 执行成功、产出完整、明显问题
跨步骤: 基本衔接检查

Standard

每步详细评估
关注: 执行质量、产出完整性、产物质量、衔接就绪度、潜在问题
跨步骤: 衔接质量、冗余检测、瓶颈识别

Deep

每步深度审查
关注: 执行质量、产出正确性、结构质量、衔接完整性、错误处理、性能信号、架构影响、边界情况
跨步骤: 全面流程优化、重排建议、缺失步骤检测、架构改进

Issue Severity Guide

Severity	Description	Example
High	阻断流程或导致错误结果	步骤执行失败、产物格式不兼容、关键数据丢失
Medium	影响质量但不阻断	产物不完整、衔接需手动调整、冗余步骤
Low	可改进但不影响功能	输出格式不一致、可优化的步骤顺序

2.3 KiB Raw Blame History