/install analyze-json-data
Core Position
This skill solves the specific engineering problem described in the trigger conditions. It focuses on reliable, auditable execution with clear error reporting.
Modes
/analyze-json-data
Default mode. Performs the core task with standard configuration.
/analyze-json-data --verbose
Verbose mode. Includes detailed logging and intermediate results.
Execution Steps
- Parse input — Validate and parse the input data; report any structural issues
- Validate — Confirm all required fields/parameters are present and well-formed
- Execute — Perform the transformation/action with validated input
- Verify — Check the output is well-formed and complete
- Report — Return structured output with a brief summary of what was done
Mandatory Rules
Do not
- Do not make up facts or claim actions were taken that were not
- Do not hardcode API keys — use
os.getenv("API_KEY")instead - Do not store sensitive user data beyond the current session
- Do not exceed token budget without warning the user first
- Do not activate for off-topic requests — return a brief decline message
Do
- Validate all inputs before acting
- Handle errors gracefully with actionable error messages
- Log actions taken for auditability
- State explicitly when you are uncertain or data is insufficient
Quality Bar
| Criterion | Minimum | Ideal |
|---|---|---|
| Task completion | Core task completes without error | Full task with all edge cases handled |
| Error reporting | Clear error message on failure | Actionable error with suggested fix |
| User communication | Brief summary of what was done | Detailed log with reasoning for decisions |
| Input validation | Rejects malformed input | Accepts valid input, explains rejection for invalid |
A good output is one where all edge cases are handled gracefully with clear user communication.
Good vs. Bad Examples
| Scenario | Bad | Good |
|---|---|---|
| Task unclear | Attempts anyway, may be wrong | Asks for clarification before proceeding |
| Error | Technical error message | "Cannot [action]: [reason] — suggest [alternative]" |
| Partial success | Reports "Done" | Reports "Done, but [partial] not completed — see details" |
| Edge case | Silently skips or crashes | Documents edge case and handles gracefully |
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install analyze-json-data - 安装完成后,直接呼叫该 Skill 的名称或使用
/analyze-json-data触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Analyze Json Data 是什么?
Use when (1) Analyze JSON data and generate a structured API design document or OpenAPI specification. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 55 次。
如何安装 Analyze Json Data?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install analyze-json-data」即可一键安装,无需额外配置。
Analyze Json Data 是免费的吗?
是的,Analyze Json Data 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Analyze Json Data 支持哪些平台?
Analyze Json Data 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Analyze Json Data?
由 王继鹏(@wangjipeng977)开发并维护,当前版本 v1.0.1。