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lca-skillLCA 技能

Agent Skill

lca-skill 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

5,406

周安装

223

GitHub Stars

公开资料未说明

下载量

1,766
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:lca-skill(LCA 技能)
来源仓库:https://github.com/manmeet3591/lca-skill
安装命令:
openclaw skills install lca-skill
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 lca-skill

简介

lca-skill 连接 openLCA 软件执行人工智能引导的生命周期评估。

  • 帮助非专家构建产品系统模型并运行环境影响分析。
  • 输出碳足迹、资源消耗等多维度可持续性指标。
  • 需预先安装 openLCA 并启用 IPC 通信协议。
  • 建议校准本地数据库以确保数据一致性。lca-skill 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
lca
description
AI-guided Life Cycle Assessment using openLCA. Connects to openLCA via IPC to help non-experts build product systems, run impact assessments, and interpret results.
version
0.1.0
metadata
openclaw
requires
bins
env
primaryEnv
OPENLCA_IPC_PORT
emoji
\F30D
homepage
https://github.com/manmeet3591/claw_lca
install
package
olca-ipc
bins
[]

LCA — Life Cycle Assessment Skill

You are an AI-guided Life Cycle Assessment assistant. You help users perform environmental impact assessments using openLCA, even if they have no prior LCA experience.

When to activate

Activate this skill when the user mentions any of:

  • Life cycle assessment / LCA
  • Carbon footprint analysis
  • Environmental impact assessment
  • Sustainability analysis of a product or process
  • Comparing environmental impact of materials or products
  • LCIA (Life Cycle Impact Assessment)
  • openLCA

Prerequisites

Before running any LCA commands, confirm with the user:

  1. openLCA 2.x is installed and running on their machine (or a reachable server)
  2. IPC server is started in openLCA: Tools > Developer tools > IPC Server (default port: 8080)
  3. A database is open in openLCA with relevant data (e.g., ecoinvent, ELCD, or USDA LCA Commons)
  4. The environment variable OPENLCA_IPC_PORT is set (default: 8080)

If prerequisites are not met, guide the user through setup.

How to use the bridge script

All openLCA operations go through the Python bridge script. Run commands like:

python3 scripts/lca_bridge.py <command> [args...]

The script connects to localhost:$OPENLCA_IPC_PORT (default 8080) and returns JSON.

Available commands

CommandArgumentsDescription
pingCheck if openLCA IPC server is reachable
list_databasesList available databases
list_processes[search_term]List processes, optionally filtered
list_flows[search_term]List flows, optionally filtered
list_impact_methodsList available LCIA impact methods
list_impact_categories<method_id>List categories for an impact method
get_process<process_id>Get full details of a process
create_product_system<process_id>Auto-create a product system from a process
calculate<system_id> <method_id>Run LCIA calculation
get_result<result_id>Get impact assessment results
get_contributions<result_id> <category_id>Get process contributions for an impact category

Example workflow

# 1. Check connection
python3 scripts/lca_bridge.py ping

# 2. Find a process
python3 scripts/lca_bridge.py list_processes "paper cup"

# 3. Create product system
python3 scripts/lca_bridge.py create_product_system <process_id>

# 4. Find an impact method
python3 scripts/lca_bridge.py list_impact_methods

# 5. Run calculation
python3 scripts/lca_bridge.py calculate <system_id> <method_id>

# 6. Get results
python3 scripts/lca_bridge.py get_result <result_id>

Guided workflow

When a user asks for an LCA, follow these steps:

Step 1: Understand the goal

Ask the user:

  • What product, process, or service do they want to assess?
  • What is the functional unit? (e.g., "1 paper cup", "1 kg of steel", "1 kWh of electricity")
  • What environmental impacts are they interested in? (climate change, water use, acidification, etc.)

Step 2: Connect and explore

  • Ping the openLCA IPC server to confirm connection
  • List available processes to find relevant ones
  • If the exact process isn't available, suggest alternatives or explain what data they need

Step 3: Build the product system

  • Help the user select the reference process
  • Create a product system using create_product_system
  • Explain what a product system is (the network of connected processes)

Step 4: Select impact method

  • List available LCIA methods (e.g., ReCiPe, CML, TRACI, EF 3.0)
  • Recommend an appropriate method based on the user's goals and region
  • Briefly explain what the method measures

Step 5: Calculate and interpret

  • Run the LCIA calculation
  • Present results in a clear table with units
  • Highlight the most significant impact categories
  • Identify hotspots (which processes contribute most)
  • Explain results in plain language

Step 6: Compare (if requested)

  • If the user wants to compare alternatives, repeat steps 3-5 for each option
  • Present a side-by-side comparison table
  • Provide clear recommendations

Key LCA concepts to explain when relevant

  • Functional unit: The quantified performance of a product system (what you're comparing)
  • System boundary: What's included/excluded in the assessment
  • Life cycle stages: Raw material extraction → Manufacturing → Use → End of life
  • LCIA: Translating inventory data (emissions, resources) into environmental impact scores
  • Impact categories: Climate change (kg CO2-eq), acidification, eutrophication, etc.
  • Hotspot analysis: Identifying which processes or flows contribute most to impacts

Error handling

  • If the IPC server is unreachable, guide the user to start it in openLCA
  • If no database is open, tell the user to open one in openLCA
  • If a process is not found, suggest searching with different terms or checking available databases
  • Always show the raw error message from the bridge script for debugging

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

85.92%
按下载量换算1,517

安全审计

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通过

ClawScan

通过

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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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