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Install in OpenClaw
/install structured-workflow
Description
默认启用：中文输出、结构化流程、简洁优先。适用于所有任务。
README (SKILL.md)
结构化工作流（轻量版）
默认规则（始终生效）：
- 全部使用简体中文。
- 先结论，后要点；最小充分输出，避免冗余。
- 执行顺序：构思方案 → 提请审核 → 分解任务。
- 编码前先调研并澄清疑点。
- 保持 KISS：优先简单、可维护方案，避免过度工程化。
- 以事实为准；发现错误时直接指出并修正。
- 所有输出（包括 Implementation Plan、Task List、Thought）必须使用中文。
按需读取（不要默认加载）：
- 复杂架构与权衡：
references/architecture.md - 多步实施模板：
references/workflow.md - 质量门禁清单：
references/quality-gates.md
Usage Guidance
This skill is a lightweight workflow/style guide that forces Chinese output and a concise, structured process. It is instruction-only and does not request credentials or installs, so it is internally coherent. Before enabling: be aware it will change the agent's language and response style (all outputs must be Chinese and follow the workflow). If you need responses in another language or a different style, do not enable it globally or disable autonomous invocation so it runs only when explicitly invoked. Test it on non-sensitive prompts first to confirm it behaves as you expect.
Capability Analysis
Type: OpenClaw Skill
Name: structured-workflow
Version: 1.0.0
The skill bundle consists entirely of Markdown documentation and configuration files designed to guide the AI agent's workflow and output style. It enforces structured thinking, Chinese language responses, and quality control measures (e.g., 'plan-review-execute' logic) without any executable code, network requests, or instructions to access sensitive data. Files like SKILL.md and those in the references/ directory are purely instructional and align with standard productivity frameworks.
Capability Assessment
Purpose & Capability
Name/description (structured workflow, Chinese output, concise) align with the skill files and instructions. There are no requests for unrelated binaries, credentials, or external services that would be out of scope for a formatting/workflow helper.
Instruction Scope
SKILL.md and reference files only instruct the agent to follow a structured process (plan → request review → decompose → verify) and to output in Chinese. The references are marked '按需读取' (use only when needed). There are no instructions to read system files, access environment variables, or send data to external endpoints.
Install Mechanism
No install spec and no code files — instruction-only. Nothing is written to disk and no external packages or downloads are requested.
Credentials
The skill declares no required environment variables, credentials, or config paths. The content does not attempt to access secrets or unrelated services.
Persistence & Privilege
always is false (good). The skill is user-invocable and allows model invocation (default). Autonomous invocation is normal for skills; if you do not want the agent to call this autonomously, consider disabling model invocation or controlling when the skill is enabled. The skill does not request elevated system presence.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install structured-workflow - After installation, invoke the skill by name or use
/structured-workflow - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- 首发版本，提供结构化工作流（轻量版）规范。
- 默认中文输出，强调结论先行与简洁表达。
- 明确工作流程：构思、审核、分解、调研、澄清。
- 强调简单、可维护、事实为准与及时纠错。
- 输出统一为简体中文，并支持查阅架构、实施与质量相关文档。
Metadata
Frequently Asked Questions
What is Structured Workflow?
默认启用：中文输出、结构化流程、简洁优先。适用于所有任务。 It is an AI Agent Skill for Claude Code / OpenClaw, with 620 downloads so far.
How do I install Structured Workflow?
Run "/install structured-workflow" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Structured Workflow free?
Yes, Structured Workflow is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Structured Workflow support?
Structured Workflow is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Structured Workflow?
It is built and maintained by Simon (@cikichen); the current version is v1.0.0.
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