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Safety System Skill | Skills Pool

技能檔案

Safety System Skill

Robot safety system design and validation for industrial and collaborative robots

a5c-ai575 星標2026年3月25日

職業
分類: 機器學習

技能內容

Overview

Expert skill for designing and validating robot safety systems compliant with ISO standards for industrial and collaborative robots.

Capabilities

Implement safety-rated monitored stop
Configure speed and separation monitoring
Set up safety-rated soft axis/space limiting
Implement emergency stop integration
Configure safety PLC communication
Set up collision detection and response
Implement force/torque limiting
Configure safety zones and virtual fencing
Set up ISO 13849 PL calculations
Generate safety documentation

Target Processes

safety-system-validation.js
robot-system-design.js
field-testing-validation.js
hri-interface.js

Dependencies

Safety PLCs

相關技能

快速安裝

Safety System Skill

npx skillvault add a5c-ai/a5c-ai-babysitter-library-specializations-robotics-simulation-skills-safety-systems-skill-md

下載 Skill 打開源碼倉庫

作者: a5c-ai
星標: 575
更新時間: 2026年3月25日
職業

本頁內容

Force/torque sensors

Safety scanners

Usage Context

This skill is invoked when processes require safety system design, functional safety analysis, or compliance with robot safety standards.

Output Artifacts

Safety system architectures
PL/SIL calculations
Safety zone configurations
Emergency stop schematics
Safety validation reports
Compliance documentation

02

Capabilities

03Target Processes

05Usage Context

06Output Artifacts

Health and Safety Engineers, Except Mining Safety Engineers and Inspectors

Continuous Learning V2

Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.

Continuous Learning V2

Hook'lar aracılığıyla oturumları gözlemleyen, güven skorlaması ile atomik instinct'ler oluşturan ve bunları skill/command/agent'lara evriltiren instinct tabanlı öğrenme sistemi. v2.1 çapraz proje kontaminasyonunu önlemek için proje kapsamlı instinct'ler ekler.

Continuous Learning V2

훅을 통해 세션을 관찰하고, 신뢰도 점수가 있는 원자적 본능을 생성하며, 이를 스킬/명령어/에이전트로 진화시키는 본능 기반 학습 시스템. v2.1에서는 프로젝트 간 오염을 방지하기 위한 프로젝트 범위 본능이 추가되었습니다.

Continuous Learning

Claude Codeセッションから再利用可能なパターンを自動的に抽出し、将来の使用のために学習済みスキルとして保存します。

Continuous Learning

Automatically extract reusable patterns from Claude Code sessions and save them as learned skills for future use.

Pytorch Patterns

PyTorch deep learning patterns and best practices for building robust, efficient, and reproducible training pipelines, model architectures, and data loading.

Health and Safety Engineers, Except Mining Safety Engineers and Inspectors