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uplo-manufacturingUPLO 制造

Agent Skill

uplo-manufacturing 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

5,116

周安装

209

GitHub Stars

公开资料未说明

下载量

1,639
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:uplo-manufacturing(UPLO 制造)
来源仓库:https://github.com/roojenkins/uplo-manufacturing
安装命令:
openclaw skills install uplo-manufacturing
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install uplo-manufacturing

简介

用于制造业全流程的知识管理平台。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

  • 适合工单、质检和生产计划文档查询。
  • 支持设备维护记录的智能化整理。uplo-manufacturing 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 需确保工业数据安全性和访问控制。
  • 建议结合MES等生产系统验证集成效果。

SKILL.md

name
uplo-manufacturing
description
AI-powered manufacturing knowledge management. Search work orders, quality inspections, production schedules, and equipment maintenance records with structured extraction.

UPLO Manufacturing

Connects your AI assistant to the structured knowledge layer built from your plant floor documentation — work orders, inspection reports, preventive maintenance schedules, CAPA records, production batch logs, and equipment manuals. When a machine goes down at 2am or a customer reports a defect, you need answers from your own data, not a web search.

Session Start

Pull your manufacturing context first. This loads your role (maintenance engineer, quality manager, production supervisor), active production priorities, and any open quality holds or equipment issues.

use_mcp_tool: get_identity_context
use_mcp_tool: search_knowledge query="open quality holds production line stoppages equipment downtime alerts"

Check directives if you need to understand current throughput targets or quality improvement initiatives:

use_mcp_tool: get_directives

When to Use

  • Investigating a non-conformance: what were the process parameters for batch #4471 on Line 3?
  • Finding the torque specification and calibration schedule for the CNC mill in Cell B
  • Pulling the FMEA (Failure Mode and Effects Analysis) for the new product introduction
  • Checking if a specific raw material lot passed incoming inspection before it hit the floor
  • Reviewing OEE trends for a production line to justify a capital expenditure request
  • Locating the lockout/tagout procedure for the hydraulic press before a maintenance window
  • Determining which shifts had the highest scrap rate last month and what corrective actions were taken

Example Workflows

Root Cause Analysis for Customer Complaint

A customer received parts with dimensional non-conformances. You need to trace back through your process.

use_mcp_tool: search_knowledge query="part number 7842-A dimensional inspection results CMM data last 90 days"
use_mcp_tool: search_with_context query="work order production batch part 7842-A process parameters tool wear records"
use_mcp_tool: search_knowledge query="CAPA corrective actions dimensional tolerance issues machining"

The structured extraction links inspection data back to specific work orders, machine settings, and operator certifications — giving you a complete traceability chain for your 8D report.

Preventive Maintenance Planning

You're building next quarter's PM schedule and need to consolidate equipment data.

use_mcp_tool: search_knowledge query="preventive maintenance schedules all production equipment Q2 upcoming"
use_mcp_tool: search_knowledge query="equipment breakdown history unplanned downtime root causes 2025"
use_mcp_tool: export_org_context

Cross-reference PM intervals against actual failure data to shift from calendar-based to condition-based maintenance where the data supports it.

Key Tools for Manufacturing

search_knowledge — Query across work orders, inspection records, PM logs, and SOPs simultaneously. The structured extraction means you get typed fields (part numbers, batch IDs, measurement values) not just raw text. Example: "SPC control chart data injection mold press 12 cavity pressure"

search_with_context — Follows the relationships between documents. A work order connects to the BOM, which connects to incoming material certs, which connect to supplier audits. Example: "material traceability lot number RM-2025-0892 from receiving through finished goods"

report_knowledge_gap — Found a machine with no documented setup procedure? A process with no control plan? Flag it. This feeds back into your quality system and ensures gaps get closed. Example: report that the new laser welder has no documented process validation (IQ/OQ/PQ).

propose_update — When an SOP is wrong or a spec has changed, propose the correction directly. It enters the review queue for the document owner. Example: update the anodizing bath concentration range after a process optimization study.

flag_outdated — Critical for manufacturing where revision control is everything. Mark superseded drawings, expired calibration certs, or obsolete work instructions before someone on the floor uses the wrong version.

Tips

  • Search by part number, work order number, or equipment asset ID for the most precise results — the extraction engine indexes these as structured fields, not just text tokens.
  • Manufacturing data is deeply interconnected. If a simple search_knowledge doesn't give you the full picture, switch to search_with_context to traverse the relationships (part -> BOM -> supplier -> cert -> inspection).
  • Always check document revision levels in results. If you spot an outdated revision, flag it immediately — in manufacturing, the wrong revision can mean scrapped parts or a safety incident.
  • When logging conversations about quality issues, include the NCR or CAPA number — it makes the audit trail searchable when regulators or customers ask about corrective actions taken.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

78.64%
按下载量换算1,289

安全审计

VirusTotal

通过

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通过

Static analysis

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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