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Skill ファイル

Twincat Video Knowledge Pipeline

Use when re-running, reviewing, or formalizing the repository-owned TwinCAT/TestRig video-analysis workflow in StandardML - Codex. This skill is for the remote high-quality video pipeline, per-video artifact review, cross-video TwinCAT/TestRig knowledge synthesis, and promotion of video-derived findings into canonical reference notes.

0 スター

2026/04/02

職業
カテゴリ: 機械学習

スキル内容

Use this skill when a task is about:

rerunning the high-quality TwinCAT/TestRig video pipeline;
reviewing promoted video-guide artifacts;
extracting implementation-facing knowledge from the 11 canonical video reports;
updating the canonical TwinCAT/TestRig reference notes after a rerun.

Read First

doc/reference_codes/video_guides/README.md
doc/scripts/tooling/video_guides/remote_high_quality_video_pipeline.md
doc/reference_codes/testrig_twincat_video_guides_reference.md
doc/reference_codes/testrig_twincat_ml_reference.md

Runtime Baseline

Default to the strongest validated path unless the user explicitly narrows the

関連 Skill

クイックインストール

Twincat Video Knowledge Pipeline

npx skillvault add XiLab-Robotics/xilab-robotics-physics-informed-neural-networks-codex-skills-twincat-video-knowledge-pipeline-skill-md

Skill をダウンロードリポジトリを開く

作者: XiLab-Robotics
スター: 0
更新日: 2026/04/02
職業

このページの内容

02

Runtime Baseline

Electro-Mechanical and Mechatronics Technologists and Technicians

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.

Electro-Mechanical and Mechatronics Technologists and Technicians

Twincat Video Knowledge Pipeline | Skills Pool